{"id":4218,"date":"2016-05-23T17:50:30","date_gmt":"2016-05-23T14:50:30","guid":{"rendered":"http:\/\/ssrlab.by\/?p=4218"},"modified":"2021-03-14T17:57:20","modified_gmt":"2021-03-14T14:57:20","slug":"identyfikatar-amografau","status":"publish","type":"post","link":"https:\/\/ssrlab.by\/en\/4218","title":{"rendered":"Homograph Identifier"},"content":{"rendered":"<p>Homograph Identifier\"><img loading=\"lazy\" src=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2016\/05\/identyfikatar-amografa\u045e-1.png\" alt=\"\" width=\"913\" height=\"560\" \/><\/a><\/p>\n<p><span lang=\"be-BY\">\u041c\u0430\u043b\u044e\u043d\u0430\u043a 1 \u2013 \u0413\u0440\u0430\u0444\u0456\u0447\u043d\u044b \u0456\u043d\u0442\u044d\u0440\u0444\u0435\u0439\u0441 \u0441\u044d\u0440\u0432\u0456\u0441 \u00ab\u0406\u0434\u044d\u043d\u0442\u044b\u0444\u0456\u043a\u0430\u0442\u0430\u0440 \u0430\u043c\u043e\u0433\u0440\u0430\u0444\u0430\u045e\u00bb<\/span><\/p>\n<p><span lang=\"be-BY\">\u0406\u043d\u0442\u044d\u0440\u0444\u0435\u0439\u0441 \u0437\u043c\u044f\u0448\u0447\u0430\u0435 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u044b\u044f \u0432\u043e\u0431\u043b\u0430\u0441\u0446\u0456:<\/span><\/p>\n<ul>\n<li><span lang=\"be-BY\">\u043f\u043e\u043b\u0435 \u045e\u0432\u043e\u0434\u0443 \u044d\u043b\u0435\u043a\u0442\u0440\u043e\u043d\u043d\u0430\u0433\u0430 \u0442\u044d\u043a\u0441\u0442\u0443;<\/span><\/li>\n<li><span lang=\"be-BY\">\u043f\u043e\u043b\u0435 \u0432\u044b\u0431\u0430\u0440\u0443 \u0441\u043b\u043e\u045e\u043d\u0456\u043a\u0430\u045e;<\/span><\/li>\n<li><span lang=\"be-BY\">\u043a\u043d\u043e\u043f\u043a\u0430 \u00ab\u0428\u0443\u043a\u0430\u0446\u044c \u0430\u043c\u043e\u0433\u0440\u0430\u0444\u044b!\u00bb, \u044f\u043a\u0430\u044f \u0437\u0430\u043f\u0443\u0441\u043a\u0430\u0435 \u0430\u043f\u0440\u0430\u0446\u043e\u045e\u043a\u0443;<\/span><\/li>\n<li><span lang=\"be-BY\">\u043f\u043e\u043b\u0435 \u0432\u044b\u0432\u0430\u0434\u0443 \u0432\u044b\u043d\u0456\u043a\u0430\u045e, \u044f\u043a\u043e\u0435 \u0437\u2019\u044f\u045e\u043b\u044f\u0435\u0446\u0446\u0430 \u043f\u0430\u0441\u043b\u044f \u0430\u043f\u0440\u0430\u0446\u043e\u045e\u043a\u0456 \u0456 \u043c\u0430\u0435 \u0432\u044b\u0433\u043b\u044f\u0434 \u0442\u0430\u0431\u043b\u0456\u0446\u044b.<\/span><\/li>\n<\/ul>\n<p><span lang=\"be-BY\">\u0423 \u043f\u043e\u043b\u0456 \u0432\u044b\u0432\u0430\u0434\u0443 \u0432\u044b\u043d\u0456\u043a\u0430\u045e \u0432\u044b\u0432\u043e\u0434\u0437\u044f\u0446\u0446\u0430 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u044b\u044f \u0434\u0430\u0434\u0437\u0435\u043d\u044b\u044f:<\/span><\/p>\n<ul>\n<li><span lang=\"be-BY\">\u0441\u043b\u043e\u0432\u0430-\u0430\u043c\u043e\u0433\u0440\u0430\u0444;<\/span><\/li>\n<li><span lang=\"be-BY\">\u0432\u0430\u0440\u044b\u044f\u043d\u0442\u044b \u043d\u0430\u0446\u0456\u0441\u043a\u0443 \u045e \u0441\u043b\u043e\u0432\u0430\u0445-\u0430\u043c\u043e\u0433\u0440\u0430\u0444\u0430\u0445;<\/span><\/li>\n<li><span lang=\"be-BY\">\u0442\u044b\u043f \u0430\u043c\u043e\u0433\u0440\u0430\u0444\u0430 (\u0447\u0430\u0441\u0446\u0456\u043d\u0430\u043c\u043e\u045e\u043d\u0430\u0435 \u0432\u044b\u0437\u043d\u0430\u0447\u044d\u043d\u043d\u0435);<\/span><\/li>\n<li><span lang=\"be-BY\">\u043a\u043e\u043b\u044c\u043a\u0456 \u0440\u0430\u0437\u043e\u045e \u0443\u0436\u044b\u0432\u0430\u0435\u0446\u0446\u0430 \u045e \u0442\u044d\u043a\u0441\u0446\u0435;<\/span><\/li>\n<li><span lang=\"be-BY\">\u043a\u0430\u043d\u0442\u044d\u043a\u0441\u0442\u044b \u045e\u0436\u044b\u0432\u0430\u043d\u043d\u044f;<\/span><\/li>\n<li><span lang=\"be-BY\">\u0441\u043b\u043e\u045e\u043d\u0456\u043a(\u0456), \u043f\u0430 \u044f\u043a\u0456\u043c(\u044f\u043a\u0456\u0445) \u0431\u044b\u045e \u043f\u0440\u0430\u0432\u0435\u0434\u0437\u0435\u043d\u044b \u043f\u043e\u0448\u0443\u043a \u0430\u043c\u043e\u0433\u0440\u0430\u0444\u0430\u045e.<\/span><\/li>\n<\/ul>\n<p><span lang=\"be-BY\">\u0422\u0430\u043a\u0441\u0430\u043c\u0430 \u0441\u044d\u0440\u0432\u0456\u0441 \u043f\u0440\u0430\u043f\u0430\u043d\u0443\u0435 \u043a\u0430\u0440\u044b\u0441\u0442\u0430\u043b\u044c\u043d\u0456\u043a\u0443 \u0430\u0442\u0440\u044b\u043c\u0430\u0446\u044c \u0430\u043c\u043e\u0433\u0440\u0430\u0444\u044b \u045e \u0444\u043e\u0440\u043c\u0435 \u0437\u0432\u044b\u0447\u0430\u0439\u043d\u0430\u0433\u0430 \u0441\u043f\u0456\u0441\u0430. \u041a\u0430\u0431 \u0430\u0442\u0440\u044b\u043c\u0430\u0446\u044c \u0442\u0430\u043a\u0456 \u0441\u043f\u0456\u0441, \u043f\u0430\u0442\u0440\u044d\u0431\u043d\u0430 \u043d\u0430\u0446\u0456\u0441\u043d\u0443\u0446\u044c \u043d\u0430 \u0430\u0434\u043f\u0430\u0432\u0435\u0434\u043d\u0443\u044e \u0441\u043f\u0430\u0441\u044b\u043b\u043a\u0443 \u045e \u043f\u043e\u043b\u0456 \u0432\u044b\u0432\u0430\u0434\u0443.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><strong><span lang=\"be-BY\">\u041a\u0430\u0440\u044b\u0441\u0442\u0430\u043b\u044c\u043d\u0456\u0446\u043a\u0456\u044f \u0441\u0446\u044d\u043d\u0430\u0440\u044b \u043f\u0440\u0430\u0446\u044b \u0437 \u0441\u044d\u0440\u0432\u0456\u0441\u0430\u043c<\/span><\/strong><\/p>\n<p><span lang=\"be-BY\">\u0421\u0446\u044d\u043d\u0430\u0440 1. \u041f\u043e\u0448\u0443\u043a \u043f\u0430 \u0441\u043b\u043e\u045e\u043d\u0456\u043a\u0430\u0445, \u0430\u0431\u0440\u0430\u043d\u044b\u0445 \u043f\u0430 \u0437\u043c\u0430\u045e\u0447\u0430\u043d\u043d\u0456<\/span><\/p>\n<ol>\n<li><span lang=\"be-BY\">\u0423\u0432\u0435\u0441\u0446\u0456 \u045e \u043f\u043e\u043b\u0435 \u045e\u0432\u043e\u0434\u0443 \u0442\u044d\u043a\u0441\u0442, \u044f\u043a\u0456 \u043f\u0430\u0442\u0440\u0430\u0431\u0443\u0435 \u0432\u044b\u0437\u043d\u0430\u0447\u044d\u043d\u043d\u044f \u0430\u043c\u043e\u0433\u0440\u0430\u0444\u0430\u045e.<\/span><\/li>\n<li><span lang=\"be-BY\">\u041d\u0430\u0446\u0456\u0441\u043d\u0443\u0446\u044c \u043a\u043d\u043e\u043f\u043a\u0443 \u00ab\u0428\u0443\u043a\u0430\u0446\u044c \u0430\u043c\u043e\u0433\u0440\u0430\u0444\u044b!\u00bb \u0434\u043b\u044f \u0437\u0430\u043f\u0443\u0441\u043a\u0443 \u043f\u043e\u0448\u0443\u043a\u0443 \u0456 \u0430\u0442\u0440\u044b\u043c\u0430\u043d\u043d\u044f \u0432\u044b\u043d\u0456\u043a\u0430\u045e.<\/span><\/li>\n<li><span lang=\"be-BY\">\u041f\u0440\u0430\u0433\u043b\u0435\u0434\u0437\u0435\u0446\u044c \u0441\u043f\u0456\u0441 \u0437\u043d\u043e\u0439\u0434\u0437\u0435\u043d\u044b\u0445 \u0430\u043c\u043e\u0433\u0440\u0430\u0444\u0430\u045e \u0443 \u043f\u043e\u043b\u0456 \u0432\u044b\u0432\u0430\u0434\u0443 \u0456 \u043f\u0440\u044b \u043f\u0430\u0442\u0440\u044d\u0431\u0435 \u045e\u043d\u0435\u0441\u0446\u0456 \u043f\u0440\u0430\u045e\u043a\u0456 \u045e \u0437\u044b\u0445\u043e\u0434\u043d\u044b \u0442\u044d\u043a\u0441\u0442 (\u043d\u0430\u043f\u0440\u044b\u043a\u043b\u0430\u0434, \u043f\u0430\u0441\u0442\u0430\u0432\u0456\u0446\u044c \u043d\u0430\u0446\u0456\u0441\u043a\u0456).<\/span><\/li>\n<\/ol>\n<p><span lang=\"be-BY\">\u0421\u0446\u044d\u043d\u0430\u0440 2. \u041f\u043e\u0448\u0443\u043a \u043f\u0430 \u0441\u043b\u043e\u045e\u043d\u0456\u043a\u0430\u0445, \u0430\u0431\u0440\u0430\u043d\u044b\u0445 \u043a\u0430\u0440\u044b\u0441\u0442\u0430\u043b\u044c\u043d\u0456\u043a\u0430\u043c<\/span><\/p>\n<ol>\n<li><span lang=\"be-BY\">\u0423\u0432\u0435\u0441\u0446\u0456 \u045e \u043f\u043e\u043b\u0435 \u045e\u0432\u043e\u0434\u0443 \u0442\u044d\u043a\u0441\u0442, \u044f\u043a\u0456 \u043f\u0430\u0442\u0440\u0430\u0431\u0443\u0435 \u0432\u044b\u0437\u043d\u0430\u0447\u044d\u043d\u043d\u044f \u0430\u043c\u043e\u0433\u0440\u0430\u0444\u0430\u045e.<\/span><\/li>\n<li><span lang=\"be-BY\">\u0412\u044b\u0431\u0440\u0430\u0446\u044c \u043d\u0435\u0430\u0431\u0445\u043e\u0434\u043d\u044b\u044f \u0441\u043b\u043e\u045e\u043d\u0456\u043a\u0456.<\/span><\/li>\n<li><span lang=\"be-BY\">\u041d\u0430\u0446\u0456\u0441\u043d\u0443\u0446\u044c \u043a\u043d\u043e\u043f\u043a\u0443 \u00ab\u0428\u0443\u043a\u0430\u0446\u044c \u0430\u043c\u043e\u0433\u0440\u0430\u0444\u044b!\u00bb \u0434\u043b\u044f \u0437\u0430\u043f\u0443\u0441\u043a\u0443 \u043f\u043e\u0448\u0443\u043a\u0443 \u0456 \u0430\u0442\u0440\u044b\u043c\u0430\u043d\u043d\u044f \u0432\u044b\u043d\u0456\u043a\u0430\u045e.<\/span><\/li>\n<li><span lang=\"be-BY\">\u041f\u0440\u0430\u0433\u043b\u0435\u0434\u0437\u0435\u0446\u044c \u0441\u043f\u0456\u0441 \u0437\u043d\u043e\u0439\u0434\u0437\u0435\u043d\u044b\u0445 \u0430\u043c\u043e\u0433\u0440\u0430\u0444\u0430\u045e \u0443 \u043f\u043e\u043b\u0456 \u0432\u044b\u0432\u0430\u0434\u0443 \u0456 \u043f\u0440\u044b \u043f\u0430\u0442\u0440\u044d\u0431\u0435 \u045e\u043d\u0435\u0441\u0446\u0456 \u043f\u0440\u0430\u045e\u043a\u0456 \u045e \u0437\u044b\u0445\u043e\u0434\u043d\u044b \u0442\u044d\u043a\u0441\u0442 (\u043d\u0430\u043f\u0440\u044b\u043a\u043b\u0430\u0434, \u043f\u0430\u0441\u0442\u0430\u0432\u0456\u0446\u044c \u043d\u0430\u0446\u0456\u0441\u043a\u0456).<\/span><\/li>\n<\/ol>\n<p><span lang=\"be-BY\">\u041c\u0430\u0433\u0447\u044b\u043c\u044b \u0432\u044b\u043d\u0456\u043a \u043f\u0440\u0430\u0446\u044b \u0441\u044d\u0440\u0432\u0456\u0441\u0430 \u043f\u0440\u0430\u0434\u0441\u0442\u0430\u045e\u043b\u0435\u043d\u044b \u043d\u0430 \u043c\u0430\u043b\u044e\u043d\u043a\u0443 2.<\/span><\/p>\n<p><a href=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2016\/05\/identyfikatar-amografa\u045e-2.png\" class=\"grouped_elements\" rel=\"tc-fancybox-group4218\" title=\"Homograph Identifier\"><img loading=\"lazy\" src=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2016\/05\/identyfikatar-amografa\u045e-2.png\" alt=\"\" width=\"900\" height=\"299\" \/><\/a><\/p>\n<p align=\"center\"><span lang=\"be-BY\">\u041c\u0430\u043b\u044e\u043d\u0430\u043a 2 \u2013 \u0412\u044b\u043d\u0456\u043a \u043f\u0440\u0430\u0446\u044b \u0441\u044d\u0440\u0432\u0456\u0441\u0430 \u00ab\u0406\u0434\u044d\u043d\u0442\u044b\u0444\u0456\u043a\u0430\u0442\u0430\u0440 \u0430\u043c\u043e\u0433\u0440\u0430\u0444\u0430\u045e\u00bb<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><strong><span lang=\"be-BY\">\u0414\u043e\u0441\u0442\u0443\u043f \u0434\u0430 \u0441\u044d\u0440\u0432\u0456\u0441\u0430 \u043f\u0440\u0430\u0437 API<\/span><\/strong><\/p>\n<p><span lang=\"be-BY\">\u0414\u043b\u044f \u0434\u043e\u0441\u0442\u0443\u043f\u0443 \u0434\u0430 \u0441\u044d\u0440\u0432\u0456\u0441\u0430 \u00ab\u0406\u0434\u044d\u043d\u0442\u044b\u0444\u0456\u043a\u0430\u0442\u0430\u0440 \u0430\u043c\u043e\u0433\u0440\u0430\u0444\u0430\u045e\u00bb \u043f\u0440\u0430\u0437 API \u043d\u0435\u0430\u0431\u0445\u043e\u0434\u043d\u0430 \u0430\u0434\u043f\u0440\u0430\u0432\u0456\u0446\u044c AJAX-\u0437\u0430\u043f\u044b\u0442 \u0442\u044b\u043f\u0443 POST \u043d\u0430 \u0430\u0434\u0440\u0430\u0441 https:\/\/corpus.by\/HomographIdentifier\/api.php. \u041f\u0440\u0430\u0437 \u043c\u0430\u0441\u0456\u045e data \u043f\u0435\u0440\u0430\u0434\u0430\u044e\u0446\u0446\u0430 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u044b\u044f \u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440\u044b:<\/span><\/p>\n<ul>\n<li><span lang=\"be-BY\"><strong><em>text <\/em><\/strong>\u2013 \u0430\u0434\u0432\u043e\u043b\u044c\u043d\u044b \u045e\u0432\u0430\u0445\u043e\u0434\u043d\u044b \u0442\u044d\u043a\u0441\u0442.<\/span><\/li>\n<li><span lang=\"be-BY\">\u041c\u0430\u0440\u043a\u0435\u0440\u044b \u0432\u044b\u043a\u0430\u0440\u044b\u0441\u0442\u0430\u043d\u043d\u044f \u0441\u043b\u043e\u045e\u043d\u0456\u043a\u0430\u045e:<\/span>\n<ul>\n<li><span lang=\"be-BY\"><em><strong>sbm1987 <\/strong><\/em>\u2013 \u00ab\u0421\u043b\u043e\u045e\u043d\u0456\u043a \u0431\u0435\u043b\u0430\u0440\u0443\u0441\u043a\u0430\u0439 \u043c\u043e\u0432\u044b. \u0410\u0440\u0444\u0430\u0433\u0440\u0430\u0444\u0456\u044f. \u0410\u0440\u0444\u0430\u044d\u043f\u0456\u044f. \u0410\u043a\u0446\u044d\u043d\u0442\u0443\u0430\u0446\u044b\u044f. \u0421\u043b\u043e\u0432\u0430\u0437\u043c\u044f\u043d\u0435\u043d\u043d\u0435 \/ \u043f\u0430\u0434 \u0440\u044d\u0434. \u041c.\u0412. \u0411\u0456\u0440\u044b\u043b\u044b. \u2013 \u041c\u0456\u043d\u0441\u043a, 1987\u00bb;<\/span><\/li>\n<li><span lang=\"be-BY\"><em><strong>sbm2012initial <\/strong><\/em>\u2013 \u00ab\u0421\u043b\u043e\u045e\u043d\u0456\u043a \u0431\u0435\u043b\u0430\u0440\u0443\u0441\u043a\u0430\u0439 \u043c\u043e\u0432\u044b. \/ \u043d\u0430\u0432\u0443\u043a. \u0440\u044d\u0434. \u0410.\u0410. \u041b\u0443\u043a\u0430\u0448\u0430\u043d\u0435\u0446, \u0412.\u041f. \u0420\u0443\u0441\u0430\u043a. \u2013 \u041c\u0456\u043d\u0441\u043a : \u0411\u0435\u043b\u0430\u0440\u0443\u0441. \u043d\u0430\u0432\u0443\u043a\u0430, 2012\u00bb;<\/span><\/li>\n<li><span lang=\"be-BY\"><em><strong>noun2013 <\/strong><\/em>\u2013 \u043d\u0430\u0437\u043e\u045e\u043d\u0456\u043a\u0456 \u043f\u0430\u0432\u043e\u0434\u043b\u0435 \u043a\u043d\u0456\u0433\u0456 \u00ab\u0413\u0440\u0430\u043c\u0430\u0442\u044b\u0447\u043d\u044b \u0441\u043b\u043e\u045e\u043d\u0456\u043a \u043d\u0430\u0437\u043e\u045e\u043d\u0456\u043a\u0430 \/ \u043d\u0430\u0432\u0443\u043a. \u0440\u044d\u0434. \u0412.\u041f. \u0420\u0443\u0441\u0430\u043a. \u2013 \u041c\u0456\u043d\u0441\u043a : \u0411\u0435\u043b\u0430\u0440\u0443\u0441. \u043d\u0430\u0432\u0443\u043a\u0430, 2013\u00bb;<\/span><\/li>\n<li><span lang=\"be-BY\"><em><strong>adjective2013 <\/strong><\/em>\u2013 \u043f\u0440\u044b\u043c\u0435\u0442\u043d\u0456\u043a\u0456 \u043f\u0430\u0432\u043e\u0434\u043b\u0435 \u043a\u043d\u0456\u0433\u0456 \u00ab\u0413\u0440\u0430\u043c\u0430\u0442\u044b\u0447\u043d\u044b \u0441\u043b\u043e\u045e\u043d\u0456\u043a \u043f\u0440\u044b\u043c\u0435\u0442\u043d\u0456\u043a\u0430, \u0437\u0430\u0439\u043c\u0435\u043d\u043d\u0456\u043a\u0430, \u043b\u0456\u0447\u044d\u0431\u043d\u0456\u043a\u0430, \u043f\u0440\u044b\u0441\u043b\u043e\u045e\u044f \/ \u043d\u0430\u0432\u0443\u043a. \u0440\u044d\u0434. \u0412.\u041f. \u0420\u0443\u0441\u0430\u043a. \u2013 \u041c\u0456\u043d\u0441\u043a : \u0411\u0435\u043b\u0430\u0440\u0443\u0441. \u043d\u0430\u0432\u0443\u043a\u0430, 2013\u00bb;<\/span><\/li>\n<li><span lang=\"be-BY\"><em><strong>numeral2013 <\/strong><\/em>\u2013 \u043b\u0456\u0447\u044d\u0431\u043d\u0456\u043a\u0456 \u043f\u0430\u0432\u043e\u0434\u043b\u0435 \u043a\u043d\u0456\u0433\u0456 \u00ab\u0413\u0440\u0430\u043c\u0430\u0442\u044b\u0447\u043d\u044b \u0441\u043b\u043e\u045e\u043d\u0456\u043a \u043f\u0440\u044b\u043c\u0435\u0442\u043d\u0456\u043a\u0430, \u0437\u0430\u0439\u043c\u0435\u043d\u043d\u0456\u043a\u0430, \u043b\u0456\u0447\u044d\u0431\u043d\u0456\u043a\u0430, \u043f\u0440\u044b\u0441\u043b\u043e\u045e\u044f \/ \u043d\u0430\u0432\u0443\u043a. \u0440\u044d\u0434. \u0412.\u041f. \u0420\u0443\u0441\u0430\u043a. \u2013 \u041c\u0456\u043d\u0441\u043a : \u0411\u0435\u043b\u0430\u0440\u0443\u0441. \u043d\u0430\u0432\u0443\u043a\u0430, 2013\u00bb;<\/span><\/li>\n<li><span lang=\"be-BY\"><em><strong>pronoun2013 <\/strong><\/em>\u2013 \u0437\u0430\u0439\u043c\u0435\u043d\u043d\u0456\u043a\u0456 \u043f\u0430\u0432\u043e\u0434\u043b\u0435 \u043a\u043d\u0456\u0433\u0456 \u00ab\u0413\u0440\u0430\u043c\u0430\u0442\u044b\u0447\u043d\u044b \u0441\u043b\u043e\u045e\u043d\u0456\u043a \u043f\u0440\u044b\u043c\u0435\u0442\u043d\u0456\u043a\u0430, \u0437\u0430\u0439\u043c\u0435\u043d\u043d\u0456\u043a\u0430, \u043b\u0456\u0447\u044d\u0431\u043d\u0456\u043a\u0430, \u043f\u0440\u044b\u0441\u043b\u043e\u045e\u044f \/ \u043d\u0430\u0432\u0443\u043a. \u0440\u044d\u0434. \u0412.\u041f.<\/span> <span lang=\"be-BY\">\u0420\u0443\u0441\u0430\u043a. \u2013 \u041c\u0456\u043d\u0441\u043a : \u0411\u0435\u043b\u0430\u0440\u0443\u0441. \u043d\u0430\u0432\u0443\u043a\u0430, 2013\u00bb;<\/span><\/li>\n<li><span lang=\"be-BY\"><em><strong>verb2013 <\/strong><\/em>\u2013 \u0434\u0437\u0435\u044f\u0441\u043b\u043e\u0432\u044b \u043f\u0430\u0432\u043e\u0434\u043b\u0435 \u043a\u043d\u0456\u0433\u0456 \u00ab\u0413\u0440\u0430\u043c\u0430\u0442\u044b\u0447\u043d\u044b \u0441\u043b\u043e\u045e\u043d\u0456\u043a \u0434\u0437\u0435\u044f\u0441\u043b\u043e\u0432\u0430 \/ \u043d\u0430\u0432\u0443\u043a. \u0440\u044d\u0434. \u0412.\u041f. \u0420\u0443\u0441\u0430\u043a. \u2013 \u041c\u0456\u043d\u0441\u043a : \u0411\u0435\u043b\u0430\u0440\u0443\u0441. \u043d\u0430\u0432\u0443\u043a\u0430, 2013\u00bb;<\/span><\/li>\n<li><span lang=\"be-BY\"><em><strong>adverb2013 <\/strong><\/em>\u2013 \u043f\u0440\u044b\u0441\u043b\u043e\u045e\u0456 \u043f\u0430\u0432\u043e\u0434\u043b\u0435 \u043a\u043d\u0456\u0433\u0456 \u00ab\u0413\u0440\u0430\u043c\u0430\u0442\u044b\u0447\u043d\u044b \u0441\u043b\u043e\u045e\u043d\u0456\u043a \u043f\u0440\u044b\u043c\u0435\u0442\u043d\u0456\u043a\u0430, \u0437\u0430\u0439\u043c\u0435\u043d\u043d\u0456\u043a\u0430, \u043b\u0456\u0447\u044d\u0431\u043d\u0456\u043a\u0430, \u043f\u0440\u044b\u0441\u043b\u043e\u045e\u044f \/ \u043d\u0430\u0432\u0443\u043a. \u0440\u044d\u0434. \u0412.\u041f.<\/span> <span lang=\"be-BY\">\u0420\u0443\u0441\u0430\u043a. \u2013 \u041c\u0456\u043d\u0441\u043a : \u0411\u0435\u043b\u0430\u0440\u0443\u0441. \u043d\u0430\u0432\u0443\u043a\u0430, 2013\u00bb;<\/span><\/li>\n<li><span lang=\"be-BY\"><em><strong>zalizniak <\/strong><\/em>\u2013 \u00ab\u0413\u0440\u0430\u043c\u043c\u0430\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u0441\u043b\u043e\u0432\u0430\u0440\u044c \u0440\u0443\u0441\u0441\u043a\u043e\u0433\u043e \u044f\u0437\u044b\u043a\u0430: \u0421\u043b\u043e\u0432\u043e\u0438\u0437\u043c\u0435\u043d\u0435\u043d\u0438\u0435 \/ \u0410.\u0410. \u0417\u0430\u043b\u0438\u0437\u043d\u044f\u043a. \u2013 \u041c\u043e\u0441\u043a\u0432\u0430 : \u0420\u0443\u0441\u0441\u043a\u0438\u0439 \u044f\u0437\u044b\u043a, 1980. \u2013 880 c.\u00bb;<\/span><\/li>\n<li><span lang=\"be-BY\"><em><strong>cmu <\/strong><\/em>\u2013 \u00abCarnegie Mellon University Pronouncing Dictionary\u00bb;<\/span><\/li>\n<li><span lang=\"be-BY\"><em><strong>uwp_be <\/strong><\/em>\u2013 \u0431\u0435\u043b\u0430\u0440\u0443\u0441\u043a\u0456\u044f \u0441\u043b\u043e\u0432\u044b, \u0441\u0430\u0431\u0440\u0430\u043d\u044b\u044f \u0441\u0456\u0441\u0442\u044d\u043c\u0430\u0439 \u00ab\u0410\u043f\u0440\u0430\u0446\u043e\u045e\u043a\u0430 \u043d\u0435\u0432\u044f\u0434\u043e\u043c\u044b\u0445 \u0441\u043b\u043e\u045e\u00bb;<\/span><\/li>\n<li><span lang=\"be-BY\"><em><strong>uwp_ru <\/strong><\/em>\u2013 \u0440\u0443\u0441\u043a\u0456\u044f \u0441\u043b\u043e\u0432\u044b, \u0441\u0430\u0431\u0440\u0430\u043d\u044b\u044f \u0441\u0456\u0441\u0442\u044d\u043c\u0430\u0439 \u00ab\u0410\u043f\u0440\u0430\u0446\u043e\u045e\u043a\u0430 \u043d\u0435\u0432\u044f\u0434\u043e\u043c\u044b\u0445 \u0441\u043b\u043e\u045e\u00bb.<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><span lang=\"be-BY\">\u041f\u0440\u044b\u043a\u043b\u0430\u0434 AJAX-\u0437\u0430\u043f\u044b\u0442\u0443:<\/span><\/p>\n<blockquote><p><span lang=\"be-BY\">$.ajax({<\/span><\/p>\n<p><span lang=\"be-BY\">type: \u201cPOST\u201d,<\/span><\/p>\n<p><span lang=\"be-BY\">url: \u201chttps:\/\/corpus.by\/HomographIdentifier\/api.php\u201d,<\/span><\/p>\n<p><span lang=\"be-BY\">data:{<\/span><\/p>\n<p>\u201c<span lang=\"be-BY\">text\u201d: \u201c\u2013 \u041c\u0430\u0451 \u0436\u044b\u0446\u0446\u0451 \u0442\u0430\u043a\u043e\u0435 \u0430\u0434\u043d\u0430\u0441\u0442\u0430\u0439\u043d\u0430\u0435. \u042f \u043f\u0430\u043b\u044e\u044e \u043d\u0430 \u043a\u0443\u0440\u044d\u0439, \u043b\u044e\u0434\u0437\u0456 \u043f\u0430\u043b\u044e\u044e\u0446\u044c \u043d\u0430 \u043c\u044f\u043d\u0435. \u0423\u0441\u0435 \u043a\u0443\u0440\u044b \u043f\u0430\u0434\u043e\u0431\u043d\u044b \u0430\u0434\u043d\u0430 \u043d\u0430 \u0430\u0434\u043d\u0443, \u0456 \u045e\u0441\u0435 \u043b\u044e\u0434\u0437\u0456 \u043f\u0430\u0434\u043e\u0431\u043d\u044b \u0430\u0434\u0437\u0456\u043d \u043d\u0430 \u0430\u0434\u043d\u0430\u0433\u043e. \u0417 \u0433\u044d\u0442\u0430\u0439 \u043f\u0440\u044b\u0447\u044b\u043d\u044b \u043c\u043d\u0435 \u0456 \u0441\u0443\u043c\u043d\u0430\u0432\u0430\u0442\u0430. \u0410\u043b\u0435, \u043a\u0430\u043b\u0456 \u0442\u044b \u043f\u0440\u044b\u0440\u0443\u0447\u044b\u0448 \u043c\u044f\u043d\u0435, \u0436\u044b\u0446\u0446\u0451 \u043c\u0430\u0451 \u043d\u0456\u0431\u044b \u0441\u043e\u043d\u0446\u0430\u043c \u0430\u0437\u0430\u0440\u044b\u0446\u0446\u0430. \u042f \u043d\u0430\u0432\u0443\u0447\u0443\u0441\u044f \u0440\u0430\u0441\u043f\u0430\u0437\u043d\u0430\u0432\u0430\u0446\u044c \u0442\u0432\u0430\u0435 \u043a\u0440\u043e\u043a\u0456 \u0441\u044f\u0440\u043e\u0434 \u0442\u044b\u0441\u044f\u0447\u044b \u0456\u043d\u0448\u044b\u0445. \u041a\u0430\u043b\u0456 \u044f \u0447\u0443\u044e \u043b\u044e\u0434\u0441\u043a\u0456\u044f \u043a\u0440\u043e\u043a\u0456, \u044f \u045e\u0446\u044f\u043a\u0430\u044e \u0456 \u0445\u0430\u0432\u0430\u044e\u0441\u044f. \u0422\u0432\u0430\u0435 \u0436 \u043f\u0430\u043a\u043b\u0456\u0447\u0443\u0446\u044c \u043c\u044f\u043d\u0435 \u0437 \u043d\u0430\u0440\u044b \u044f\u043a \u043c\u0443\u0437\u044b\u043a\u0430. \u0406 \u043f\u043e\u0442\u044b\u043c \u2013 \u043f\u0430\u0433\u043b\u044f\u0434\u0437\u0456! \u0411\u0430\u0447\u044b\u0448, \u0442\u0430\u043c, \u0443\u0434\u0430\u043b\u0435\u0447\u044b\u043d\u0456, \u0436\u044b\u0442\u043d\u044f\u0435 \u043f\u043e\u043b\u0435? \u042f \u043d\u0435 \u0435\u043c \u0445\u043b\u0435\u0431\u0430. \u0416\u044b\u0442\u0430 \u043c\u043d\u0435 \u043d\u0456 \u0434\u0430 \u0447\u0430\u0433\u043e. \u0417\u0431\u0430\u0436\u044b\u043d\u0430 \u043d\u0456\u0447\u043e\u0433\u0430 \u043d\u0435 \u043d\u0430\u043f\u0430\u043c\u0456\u043d\u0430\u0435 \u043c\u043d\u0435. \u0406 \u0433\u044d\u0442\u0430 \u0442\u0430\u043a \u0441\u0443\u043c\u043d\u0430! \u0410 \u045e \u0446\u044f\u0431\u0435 \u0437\u0430\u043b\u0430\u0442\u044b\u044f \u0432\u0430\u043b\u0430\u0441\u044b. \u0406 \u044f\u043a \u0446\u0443\u0434\u043e\u045e\u043d\u0430 \u0431\u044b\u043b\u043e \u0431, \u043a\u0430\u043b\u0456 \u0431 \u0442\u044b \u043f\u0440\u044b\u0440\u0443\u0447\u044b\u045e \u043c\u044f\u043d\u0435! \u0417\u0430\u043b\u0430\u0442\u043e\u0435 \u0436\u044b\u0442\u0430 \u0437\u0430\u045e\u0441\u0451\u0434\u044b \u0431\u044b\u043b\u043e \u0431 \u043c\u043d\u0435 \u043d\u0430\u043f\u0430\u043c\u0456\u043d\u043a\u0430\u043c \u043f\u0440\u0430 \u0446\u044f\u0431\u0435\u2026 \u042f \u043f\u0430\u043b\u044e\u0431\u0456\u045e \u0431\u044b \u043f\u0435\u0441\u043d\u044e \u0432\u0435\u0442\u0440\u0443 \u045e \u043a\u0430\u043b\u043e\u0441\u0441\u0456\u2026\u201d,<\/span><\/p>\n<p>\u201c<span lang=\"be-BY\">sbm1987\u201d: 1,<\/span><\/p>\n<p>\u201c<span lang=\"be-BY\">sbm2012initial\u201d: 1<\/span><\/p>\n<p><span lang=\"be-BY\">},<\/span><\/p>\n<p><span lang=\"be-BY\">success: function(msg){ },<\/span><\/p>\n<p><span lang=\"be-BY\">error: function() { }<\/span><\/p>\n<p><span lang=\"be-BY\">});<\/span><\/p><\/blockquote>\n<p><span lang=\"be-BY\">\u0421\u0435\u0440\u0432\u0435\u0440 \u0432\u0435\u0440\u043d\u0435 JSON-\u043c\u0430\u0441\u0456\u045e \u0437 \u0443\u0432\u0430\u0445\u043e\u0434\u043d\u044b\u043c \u0442\u044d\u043a\u0441\u0442\u0430\u043c (\u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440 text), \u0441\u043f\u0456\u0441\u0430\u043c \u0437\u043d\u043e\u0439\u0434\u0437\u0435\u043d\u044b\u0445 \u0443 \u0442\u044d\u043a\u0441\u0446\u0435 \u0430\u043c\u043e\u0433\u0440\u0430\u0444\u0430\u045e (\u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440 result), \u043c\u0430\u0441\u0456\u0432\u0430\u043c \u0437 \u0434\u044d\u0442\u0430\u043b\u044f\u043c\u0456 \u0432\u044b\u043d\u0456\u043a\u0443 (\u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440 resultArr), \u043a\u043e\u043b\u044c\u043a\u0430\u0441\u0446\u044e \u0432\u044b\u044f\u045e\u043b\u0435\u043d\u044b\u0445 \u0430\u043c\u043e\u0433\u0440\u0430\u0444\u0430\u045e (\u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440 resultCnt) \u0456 \u0441\u043f\u0430\u0441\u044b\u043b\u043a\u0430\u0439 \u043d\u0430 \u0441\u043f\u0456\u0441 \u0432\u044b\u044f\u045e\u043b\u0435\u043d\u044b\u0445 \u0430\u043c\u043e\u0433\u0440\u0430\u0444\u0430\u045e (\u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440 resultUrl). \u041d\u0430\u043f\u0440\u044b\u043a\u043b\u0430\u0434, \u043f\u0430 \u0432\u044b\u0448\u044d\u0439 \u043f\u0440\u044b\u0432\u0435\u0434\u0437\u0435\u043d\u044b\u043c AJAX-\u0437\u0430\u043f\u044b\u0446\u0435 \u0431\u0443\u0434\u0437\u0435 \u0441\u0444\u0430\u0440\u043c\u0456\u0440\u0430\u0432\u0430\u043d\u044b \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u044b \u0430\u0434\u043a\u0430\u0437:<\/span><\/p>\n<blockquote><p><span lang=\"be-BY\">[<\/span><\/p>\n<p><span lang=\"be-BY\">{<\/span><\/p>\n<p>\u201c<span lang=\"be-BY\">text\u201d: \u201c\u0413\u0440\u0443\u0448\u0430 \u0446\u0432\u0456\u043b\u0430 \u0430\u043f\u043e\u0448\u043d\u0456 \u0433\u0440\u043e\u0434.\u201d,<\/span><\/p>\n<p>\u201c<span lang=\"be-BY\">result\u201d: \u201c\u043a\u0443\u0440\u044b<\/span><\/p>\n<p><span lang=\"be-BY\">\u043b\u044e\u0434\u0441\u043a\u0456\u044f<\/span><\/p>\n<p><span lang=\"be-BY\">\u043d\u0430\u0440\u044b<\/span><\/p>\n<p><span lang=\"be-BY\">\u043c\u0443\u0437\u044b\u043a\u0430<\/span><\/p>\n<p><span lang=\"be-BY\">\u043c\u0443\u0437\u044b\u043a\u0430\u201d,<\/span><\/p>\n<p>\u201c<span lang=\"be-BY\">resultArr\u201d: {<\/span><\/p>\n<p>\u201c<span lang=\"be-BY\">SBM1987\u201d: {<\/span><\/p>\n<p>\u201c<span lang=\"be-BY\">\u043a\u0443\u0440\u044b\u201d: {<\/span><\/p>\n<p>\u201c<span lang=\"be-BY\">accents\u201d: \u201c\u043a\u0443\u0301\u0440\u044b \u043a\u0443\u0440\u044b\u0301\u201d,<\/span><\/p>\n<p>\u201c<span lang=\"be-BY\">type\u201d: \u201c\u0430\u0434\u043d\u0430 \u0447\u0430\u0441\u0446\u0456\u043d\u0430 \u043c\u043e\u0432\u044b\u201d,<\/span><\/p>\n<p>\u201c<span lang=\"be-BY\">count\u201d: 1,<\/span><\/p>\n<p>\u201c<span lang=\"be-BY\">contexts\u201d: \u201c\u2026 \u043d\u0430 \u043c\u044f\u043d\u0435. \u0423\u0441\u0435 \u043a\u0443\u0440\u044b \u043f\u0430\u0434\u043e\u0431\u043d\u044b \u0430\u0434\u043d\u0430 \u043d\u0430 \u2026\u201d<\/span><\/p>\n<p><span lang=\"be-BY\">},<\/span><\/p>\n<p>\u201c<span lang=\"be-BY\">\u043b\u044e\u0434\u0441\u043a\u0456\u044f\u201d: {<\/span><\/p>\n<p>\u201c<span lang=\"be-BY\">accents\u201d: \u201c\u043b\u044e\u0301\u0434\u0441\u043a\u0456\u044f \u043b\u044e\u0434\u0441\u043a\u0456\u0301\u044f\u201d,<\/span><\/p>\n<p>\u201c<span lang=\"be-BY\">type\u201d: \u201c\u0430\u0434\u043d\u0430 \u0447\u0430\u0441\u0446\u0456\u043d\u0430 \u043c\u043e\u0432\u044b\u201d,<\/span><\/p>\n<p>\u201c<span lang=\"be-BY\">count\u201d: 1,<\/span><\/p>\n<p>\u201c<span lang=\"be-BY\">contexts\u201d: \u201c\u2026 \u041a\u0430\u043b\u0456 \u044f \u0447\u0443\u044e \u043b\u044e\u0434\u0441\u043a\u0456\u044f \u043a\u0440\u043e\u043a\u0456, \u044f \u045e\u0446\u044f\u043a\u0430\u044e \u2026\u201d<\/span><\/p>\n<p><span lang=\"be-BY\">},<\/span><\/p>\n<p>\u201c<span lang=\"be-BY\">\u043d\u0430\u0440\u044b\u201d: {<\/span><\/p>\n<p>\u201c<span lang=\"be-BY\">accents\u201d: \u201c\u043d\u0430\u0440\u044b\u0301 \u043d\u0430\u0301\u0440\u044b\u201d,<\/span><\/p>\n<p>\u201c<span lang=\"be-BY\">type\u201d: \u201c\u0430\u0434\u043d\u0430 \u0447\u0430\u0441\u0446\u0456\u043d\u0430 \u043c\u043e\u0432\u044b\u201d,<\/span><\/p>\n<p>\u201c<span lang=\"be-BY\">count\u201d: 1,<\/span><\/p>\n<p>\u201c<span lang=\"be-BY\">contexts\u201d: \u201c\u2026 \u043f\u0430\u043a\u043b\u0456\u0447\u0443\u0446\u044c \u043c\u044f\u043d\u0435 \u0437 \u043d\u0430\u0440\u044b \u044f\u043a \u043c\u0443\u0437\u044b\u043a\u0430. \u0406 \u2026\u201d<\/span><\/p>\n<p><span lang=\"be-BY\">},<\/span><\/p>\n<p>\u201c<span lang=\"be-BY\">\u043c\u0443\u0437\u044b\u043a\u0430\u201d: {<\/span><\/p>\n<p>\u201c<span lang=\"be-BY\">accents\u201d: \u201c\u043c\u0443\u0437\u044b\u0301\u043a\u0430 \u043c\u0443\u0301\u0437\u044b\u043a\u0430\u201d,<\/span><\/p>\n<p>\u201c<span lang=\"be-BY\">type\u201d: \u201c\u0430\u0434\u043d\u0430 \u0447\u0430\u0441\u0446\u0456\u043d\u0430 \u043c\u043e\u0432\u044b\u201d,<\/span><\/p>\n<p>\u201c<span lang=\"be-BY\">count\u201d: 1,<\/span><\/p>\n<p>\u201c<span lang=\"be-BY\">contexts\u201d: \u201c\u2026 \u0437 \u043d\u0430\u0440\u044b \u044f\u043a \u043c\u0443\u0437\u044b\u043a\u0430. \u0406 \u043f\u043e\u0442\u044b\u043c \u2013 \u043f\u0430\u0433\u043b\u044f\u0434\u0437\u0456! \u2026\u201d<\/span><\/p>\n<p><span lang=\"be-BY\">}<\/span><\/p>\n<p><span lang=\"be-BY\">},<\/span><\/p>\n<p>\u201c<span lang=\"be-BY\">SBM2012initial\u201d: {<\/span><\/p>\n<p>\u201c<span lang=\"be-BY\">\u043c\u0443\u0437\u044b\u043a\u0430\u201d: {<\/span><\/p>\n<p>\u201c<span lang=\"be-BY\">accents\u201d: \u201c\u043c\u0443\u0437\u044b\u0301\u043a\u0430 \u043c\u0443\u0301\u0437\u044b\u043a\u0430\u201d,<\/span><\/p>\n<p>\u201c<span lang=\"be-BY\">type\u201d: \u201c\u2013\u201d,<\/span><\/p>\n<p>\u201c<span lang=\"be-BY\">count\u201d: 1,<\/span><\/p>\n<p>\u201c<span lang=\"be-BY\">contexts\u201d: \u201c\u2026 \u0437 \u043d\u0430\u0440\u044b \u044f\u043a \u043c\u0443\u0437\u044b\u043a\u0430. \u0406 \u043f\u043e\u0442\u044b\u043c \u2013 \u043f\u0430\u0433\u043b\u044f\u0434\u0437\u0456! \u2026\u201d<\/span><\/p>\n<p><span lang=\"be-BY\">}<\/span><\/p>\n<p><span lang=\"be-BY\">}<\/span><\/p>\n<p><span lang=\"be-BY\">},<\/span><\/p>\n<p>\u201c<span lang=\"be-BY\">resultCnt\u201d: \u201c5\u201d,<\/span><\/p>\n<p>\u201c<span lang=\"be-BY\">resultUrl\u201d: \u201chttps:\/\/corpus.by\/&lt;\u2026&gt;\u201d,<\/span><\/p>\n<p><span lang=\"be-BY\">}<\/span><\/p>\n<p><span lang=\"be-BY\">]<\/span><\/p><\/blockquote>\n<p>&nbsp;<\/p>\n<p><strong><span lang=\"be-BY\">\u0421\u043f\u0430\u0441\u044b\u043b\u043a\u0456 \u043d\u0430 \u043a\u0440\u044b\u043d\u0456\u0446\u044b<\/span><\/strong><\/p>\n<p><span lang=\"be-BY\">\u0421\u0442\u0430\u0440\u043e\u043d\u043a\u0430 \u0441\u044d\u0440\u0432\u0456\u0441\u0430: <span style=\"text-decoration: underline;\"><a href=\"https:\/\/corpus.by\/HomographIdentifier\/?lang=be\">https:\/\/corpus.by\/HomographIdentifier\/?lang=be<\/a><\/span><\/span><\/p>\n<p><strong><span lang=\"be-BY\">\u041f\u0435\u0440\u0430\u043a\u0440\u044b\u0436\u0430\u0432\u0430\u043d\u044b\u044f \u0441\u043f\u0430\u0441\u044b\u043b\u043a\u0456<\/span><\/strong><\/p>\n<ol>\n<li>\u0413\u0435\u0446\u044d\u0432\u0456\u0447, \u042e.\u0421. <a href=\"https:\/\/ssrlab.by\/5008\">\u041a\u0430\u043c\u043f\u2019\u044e\u0442\u0430\u0440\u043d\u0430-\u043b\u0456\u043d\u0433\u0432\u0456\u0441\u0442\u044b\u0447\u043d\u044b\u044f \u0441\u044d\u0440\u0432\u0456\u0441\u044b www.corpus.by \u0434\u043b\u044f \u0430\u045e\u0442\u0430\u043c\u0430\u0442\u044b\u0447\u043d\u0430\u0439 \u0430\u043f\u0440\u0430\u0446\u043e\u045e\u043a\u0456 \u0442\u044d\u043a\u0441\u0442\u0430\u045e<\/a> \/ \u042f.\u0421. \u041a\u0430\u0447\u0430\u043d, \u0421.\u0406. \u041b\u044b\u0441\u044b, \u042e.\u0421. \u0413\u0435\u0446\u044d\u0432\u0456\u0447, \u0413.\u0420. \u0421\u0442\u0430\u043d\u0456\u0441\u043b\u0430\u0432\u0435\u043d\u043a\u0430, \u0410.\u0412. \u0413\u044e\u043d\u0442\u0430\u0440 \/\/ \u041d\u0430\u0446\u044b\u044f\u043d\u0430\u043b\u044c\u043d\u0430-\u043a\u0443\u043b\u044c\u0442\u0443\u0440\u043d\u044b \u043a\u0430\u043c\u043f\u0430\u043d\u0435\u043d\u0442 \u0443 \u043b\u0456\u0442\u0430\u0440\u0430\u0442\u0443\u0440\u043d\u0430\u0439 \u0456 \u0434\u044b\u044f\u043b\u0435\u043a\u0442\u043d\u0430\u0439 \u043c\u043e\u0432\u0435 : \u0437\u0431. \u043d\u0430\u0432\u0443\u043a. \u0430\u0440\u0442. \/ \u0411\u0440\u044d\u0441\u0446. \u0434\u0437\u044f\u0440\u0436. \u0443\u043d-\u0442 \u0456\u043c\u044f \u0410. \u0421. \u041f\u0443\u0448\u043a\u0456\u043d\u0430 ; \u0440\u044d\u0434\u043a\u0430\u043b.: \u0421. \u0424. \u0411\u0443\u0442-\u0413\u0443\u0441\u0430\u0456\u043c [\u0456 \u0456\u043d\u0448.]. \u2013 \u0411\u0440\u044d\u0441\u0442 : \u0411\u0440\u0414\u0423, 2016. \u2014 C. 93-104.<\/li>\n<li>\u041a\u0430\u0437\u043b\u043e\u045e\u0441\u043a\u0430\u044f, \u041d.\u0414. <a href=\"https:\/\/ssrlab.by\/en\/5622\">\u0412\u044b\u043a\u0430\u0440\u044b\u0441\u0442\u0430\u043d\u043d\u0435 \u043a\u0430\u043c\u043f\u2019\u044e\u0442\u0430\u0440\u043d\u0430-\u043b\u0456\u043d\u0433\u0432\u0456\u0441\u0442\u044b\u0447\u043d\u044b\u0445 \u0440\u044d\u0441\u0443\u0440\u0441\u0430\u045e \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u044b corpus.by \u043f\u0440\u044b \u043f\u0435\u0440\u0430\u043a\u043b\u0430\u0434\u0437\u0435 \u041a\u043e\u0434\u044d\u043a\u0441\u0430 \u0430\u0431 \u0448\u043b\u044e\u0431\u0443 \u0456 \u0441\u044f\u043c\u2019\u0456<\/a> \/ \u041d.\u0414. \u041a\u0430\u0437\u043b\u043e\u045e\u0441\u043a\u0430\u044f, \u0413.\u0420. \u0421\u0442\u0430\u043d\u0456\u0441\u043b\u0430\u0432\u0435\u043d\u043a\u0430, \u0410.\u0412. \u041a\u0440\u044b\u0432\u0430\u043b\u044c\u0446\u044d\u0432\u0456\u0447, \u041c.\u0423. \u041c\u0430\u0440\u0447\u044b\u043a, \u0410.\u0423. \u0411\u0430\u0431\u043a\u043e\u045e, \u0406.\u0412. \u0420\u044d\u0435\u043d\u0442\u043e\u0432\u0456\u0447, \u042e.\u0421. \u0413\u0435\u0446\u044d\u0432\u0456\u0447 \/\/ \u041c\u0435\u0436\u043a\u0443\u043b\u044c\u0442\u0443\u0440\u043d\u0430\u044f \u043a\u043e\u043c\u043c\u0443\u043d\u0438\u043a\u0430\u0446\u0438\u044f \u0438 \u043f\u0440\u043e\u0431\u043b\u0435\u043c\u044b \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0438\u043d\u043e\u0441\u0442\u0440\u0430\u043d\u043d\u043e\u043c\u0443 \u044f\u0437\u044b\u043a\u0443 \u0438 \u043f\u0435\u0440\u0435\u0432\u043e\u0434\u0443 : \u0441\u0431. \u043d\u0430\u0443\u0447. \u0441\u0442. \/ \u0440\u0435\u0434\u043a\u043e\u043b. : \u041c.\u0413. \u0411\u043e\u0433\u043e\u0432\u0430 (\u043e\u0442\u0432. \u0440\u0435\u0434), \u0422.\u0412. \u0411\u0443\u0441\u0435\u043b, \u041d.\u041f. \u0413\u0440\u0438\u0446\u043a\u0435\u0432\u0438\u0447 [\u0438 \u0434\u0440.]. \u2014 \u041c\u0438\u043d\u0441\u043a : \u0420\u0418\u0412\u0428, 2017. \u2014 C. 137-142.<\/li>\n<li>\u041e\u043a\u0440\u0443\u0442, \u0422.\u0406. <a href=\"https:\/\/ssrlab.by\/en\/3495\">\u0412\u044b\u0440\u0430\u0448\u044d\u043d\u043d\u0435 \u043f\u0440\u0430\u0431\u043b\u0435\u043c\u044b \u0430\u043c\u0430\u0433\u0440\u0430\u0444\u0456\u0456 \u0437 \u0434\u0430\u043f\u0430\u043c\u043e\u0433\u0430\u0439 NOOJ \u0434\u043b\u044f \u0431\u043e\u043b\u044c\u0448 \u0447\u044b\u043c 50 \u0430\u043c\u043e\u0433\u0440\u0430\u0444\u0430\u045e \u0440\u0443\u0441\u043a\u0430\u0439 \u043c\u043e\u0432\u044b<\/a> \/ \u0422.\u0406. \u041e\u043a\u0440\u0443\u0442, \u0414.\u0410. \u041f\u0430\u043a\u043b\u0430\u0434\u043e\u043a, \u042e.\u0421. \u0413\u0435\u0446\u044d\u0432\u0456\u0447, \u0411.\u041c. \u041b\u0430\u0431\u0430\u043d\u0430\u045e \/\/ \u041a\u043e\u043d\u0442\u0440\u0430\u0441\u0442\u0438\u0432\u043d\u044b\u0435 \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u044f \u0438 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u043d\u0430\u044f \u043b\u0438\u043d\u0433\u0432\u0438\u0441\u0442\u0438\u043a\u0430 : \u043c\u0430\u0442\u0435\u0440\u0438\u0430\u043b\u044b \u041c\u0435\u0436\u0434\u0443\u043d\u0430\u0440. \u043d\u0430\u0443\u0447. \u043a\u043e\u043d\u0444., \u041c\u0438\u043d\u0441\u043a, 29-30 \u043e\u043a\u0442. 2014 \u0433. \u0412 2 \u0447. \u0427.2 \/ \u043e\u0442\u0432. \u0440\u0435\u0434.: \u0410.\u0412. \u0417\u0443\u0431\u043e\u0432, \u0422.\u041f. \u041a\u0430\u0440\u043f\u0438\u043b\u043e\u0432\u0438\u0447. \u2013 \u041c\u0438\u043d\u0441\u043a : \u041c\u0413\u041b\u0423, 2015. \u2014 P. 79-83.<\/li>\n<li>Okrut, T. <a href=\"https:\/\/ssrlab.by\/en\/3476\">Context-Sensitive Homograph Disambiguation with NooJ in Belarusian and Russian Electronic Texts<\/a> \/ T. Okrut, B. Lobanov, Y. Yakubovich \/\/ International Scientific Conference on the Automatic Processing of Natural-Language Electronic Texts \u201cNooJ\u20192015\u2033 \/ ed. B.M. Lobanov, Yu.S.Hetsevich. \u2014 Minsk : UIIP NASB, 2015. \u2014 P. 48.<\/li>\n<li>\u0421\u0442\u0430\u043d\u0456\u0441\u043b\u0430\u0432\u0435\u043d\u043a\u0430, \u0413.\u0420. <a href=\"https:\/\/ssrlab.by\/en\/4416\">\u0420\u044d\u0434\u0430\u0433\u0430\u0432\u0430\u043d\u043d\u0435 \u044d\u043b\u0435\u043a\u0442\u0440\u043e\u043d\u043d\u044b\u0445 \u043c\u0430\u0441\u0456\u0432\u0430\u045e \u0442\u044d\u043a\u0441\u0442\u0430\u045e \u043d\u0430 \u0431\u0435\u043b\u0430\u0440\u0443\u0441\u043a\u0430\u0439 \u043c\u043e\u0432\u0435 \u0437 \u0432\u044b\u043a\u0430\u0440\u044b\u0441\u0442\u0430\u043d\u043d\u0435\u043c \u043a\u0430\u043c\u043f\u2019\u044e\u0442\u0430\u0440\u043d\u0430-\u043b\u0456\u043d\u0433\u0432\u0456\u0441\u0442\u044b\u0447\u043d\u044b\u0445 \u0441\u044d\u0440\u0432\u0456\u0441\u0430\u045e \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u044b www.corpus.by<\/a> \/ \u0413.\u0420. \u0421\u0442\u0430\u043d\u0456\u0441\u043b\u0430\u0432\u0435\u043d\u043a\u0430, \u0421.\u0406. \u041b\u044b\u0441\u044b, \u042e.\u0421. \u0413\u0435\u0446\u044d\u0432\u0456\u0447 \/\/ \u041a\u0430\u0440\u043f\u043e\u0432\u0441\u043a\u0438\u0435 \u043d\u0430\u0443\u0447\u043d\u044b\u0435 \u0447\u0442\u0435\u043d\u0438\u044f \/ \u0411\u0413\u0423 ; \u043f\u043e\u0434 \u0440\u0435\u0434. \u0410.\u0418. \u0413\u043e\u043b\u043e\u0432\u043d\u044f [\u0438 \u0434\u0440.]. \u2014 \u041c\u0438\u043d\u0441\u043a : \u0418\u0412\u0426 \u041c\u0438\u043d\u0444\u0438\u043d\u0430, 2016. \u2014 C. 262-267.<\/li>\n<li>\u041c\u0430\u0440\u0447\u044b\u043a, \u041c.\u0423. <a href=\"https:\/\/ssrlab.by\/en\/6052\">\u0412\u044b\u0447\u044b\u0442\u043a\u0430 \u0456 \u0433\u0435\u043d\u0435\u0440\u0430\u0446\u044b\u044f \u0442\u044d\u043a\u0441\u0442\u0430\u045e \u0432\u044f\u043b\u0456\u043a\u0430\u0433\u0430 \u043f\u0430\u043c\u0435\u0440\u0443 \u043d\u0430 \u0431\u0435\u043b\u0430\u0440\u0443\u0441\u043a\u0430\u0439 \u043c\u043e\u0432\u0435<\/a> \/ \u041c.\u0423. \u041c\u0430\u0440\u0447\u044b\u043a, \u0413.\u0420. \u0421\u0442\u0430\u043d\u0456\u0441\u043b\u0430\u0432\u0435\u043d\u043a\u0430, \u0421.\u0406. \u041b\u044b\u0441\u044b, \u042e.\u0421. \u0413\u0435\u0446\u044d\u0432\u0456\u0447 \/\/ \u0420\u0430\u0437\u0432\u0438\u0442\u0438\u0435 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0442\u0438\u0437\u0430\u0446\u0438\u0438 \u0438 \u0433\u043e\u0441\u0443\u0434\u0430\u0440\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0439 \u0441\u0438\u0441\u0442\u0435\u043c\u044b \u043d\u0430\u0443\u0447\u043d\u043e-\u0442\u0435\u0445\u043d\u0438\u0447\u0435\u0441\u043a\u043e\u0439 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438 (\u0420\u0418\u041d\u0422\u0418-2017) : \u0434\u043e\u043a\u043b\u0430\u0434\u044b XVI \u041c\u0435\u0436\u0434\u0443\u043d\u0430\u0440\u043e\u0434\u043d\u043e\u0439 \u043a\u043e\u043d\u0444\u0435\u0440\u0435\u043d\u0446\u0438\u0438, \u041c\u0438\u043d\u0441\u043a, 16 \u043d\u043e\u044f\u0431\u0440\u044f 2017 \u0433. \/ \u041e\u0418\u041f\u0418 \u041d\u0410\u041d \u0411\u0435\u043b\u0430\u0440\u0443\u0441\u0438 ; \u043f\u043e\u0434 \u043d\u0430\u0443\u0447. \u0440\u0435\u0434. \u0410.\u0412. \u0422\u0443\u0437\u0438\u043a\u043e\u0432, \u0420.\u0411. \u0413\u0440\u0438\u0433\u044f\u043d\u0435\u0446, \u0412.\u041d. \u0412\u0435\u043d\u0433\u0435\u0440\u043e\u0432. \u2014 \u041c\u0438\u043d\u0441\u043a : \u041e\u0418\u041f\u0418 \u041d\u0410\u041d \u0411\u0435\u043b\u0430\u0440\u0443\u0441\u0438, 2017. \u2014 C. 305-310.<\/li>\n<\/ol>\n<p>&nbsp;<span lang=\"en-US\">The service<strong> <a href=\"https:\/\/corpus.by\/HomographIdentifier\/?lang=en\">\u00abHomograph Identifier\u00bb<\/a><\/strong> is disigned for recognition and highlighting of homographs in the text. The service receives electronic text, the user receives a list of homographs found in the text with their detailed data as the results of processing.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><strong><span lang=\"en-US\">Basic terms and concepts<\/span><\/strong><\/p>\n<p><span lang=\"en-US\"><em>Homonymy<\/em> \u2013 the coincidence of words or their forms with a complete difference in meaning. It is important to distinguish homonymy from polysemy (the presence of several meanings in one word).<\/span><\/p>\n<p><span lang=\"en-US\"><em>Homonyms<\/em> \u2013 different in meaning but identical in spelling and pronounciation language units (words, morphemes, etc.). For example, Bel. \u00ab<\/span>\u0442\u0443\u0440<span lang=\"en-US\">\u00bb \u2013 an ancient wild bull, \u00ab<\/span>\u0442\u0443\u0440<span lang=\"en-US\">\u00bb \u2013 a selection stage and \u00ab<\/span>\u0442\u0443\u0440<span lang=\"en-US\">\u00bb \u2013 a trip to different places.<\/span><\/p>\n<p><span lang=\"en-US\"><em>Homography<\/em> \u2013 a property of two or more characters having the same graphic form, but with different meanings. Homography is graphic homonymy.<\/span><\/p>\n<p><span lang=\"en-US\"><em>Homographs<\/em> \u2013 words that have the same spelling and different pronunciation. For example, Rus. <\/span>\u043a\u0430\u0437\u0430<span lang=\"en-US\">\u0301<\/span>\u0447\u043a\u0430<span lang=\"en-US\"> and <\/span>\u043a\u0430\u0437\u0430\u0447\u043a\u0430<span lang=\"en-US\">\u0301.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><strong><span lang=\"en-US\">Practical value<\/span><\/strong><\/p>\n<p><span lang=\"en-US\">The service will be useful for all the needs of finding homographs. Such needs may arise:<\/span><\/p>\n<p><span lang=\"en-US\">&#8211; In case of conducting a study of a certain text for the presence and functioning of homographs in it. Studies of this type may be useful for corpus linguistics.<\/span><\/p>\n<p><span lang=\"en-US\">&#8211; In case of preparing text for processing by a speech synthesizer in order to obtain sound text. Timely identification of homographs and the correct placement of accents will significantly improve the quality of the speech synthesizer work.<\/span><\/p>\n<p><span lang=\"en-US\">Text processing by this service is one of the steps in the methodology of large texts proofreading. In this methodology the service helps to identify homographs for the further placement of accents in those homography cases on which the meaning of the text depends.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><strong><span lang=\"en-US\">Service features<\/span><\/strong><\/p>\n<p><span lang=\"en-US\">Identification of homographs goes through several dictionaries that the service uses:<\/span><\/p>\n<p><span lang=\"en-US\"><strong>SBM1987<\/strong> (according to the publication &#8220;<\/span>\u0421\u043b\u043e\u045e\u043d\u0456\u043a \u0431\u0435\u043b\u0430\u0440\u0443\u0441\u043a\u0430\u0439 \u043c\u043e\u0432\u044b<span lang=\"en-US\">. <\/span>\u0410\u0440\u0444\u0430\u0433\u0440\u0430\u0444\u0456\u044f. \u0410\u0440\u0444\u0430\u044d\u043f\u0456\u044f. \u0410\u043a\u0446\u044d\u043d\u0442\u0443\u0430\u0446\u044b\u044f. \u0421\u043b\u043e\u0432\u0430\u0437\u043c\u044f\u043d\u0435\u043d\u043d\u0435 \/ \u043f\u0430\u0434 \u0440\u044d\u0434. \u041c<span lang=\"en-US\">.<\/span>\u0412<span lang=\"en-US\">. <\/span>\u0411\u0456\u0440\u044b\u043b\u044b<span lang=\"en-US\">. \u2013 <\/span>\u041c\u0456\u043d\u0441\u043a<span lang=\"en-US\">, 1987&#8243;)<\/span><\/p>\n<p><span lang=\"en-US\"><strong>SBM2012initial<\/strong> (initial forms according to the publication &#8220;<\/span>\u0421\u043b\u043e\u045e\u043d\u0456\u043a \u0431\u0435\u043b\u0430\u0440\u0443\u0441\u043a\u0430\u0439 \u043c\u043e\u0432\u044b<span lang=\"en-US\">. \/ <\/span>\u043d\u0430\u0432\u0443\u043a<span lang=\"en-US\">. <\/span>\u0440\u044d\u0434<span lang=\"en-US\">. <\/span>\u0410<span lang=\"en-US\">.<\/span>\u0410<span lang=\"en-US\">. <\/span>\u041b\u0443\u043a\u0430\u0448\u0430\u043d\u0435\u0446<span lang=\"en-US\">, <\/span>\u0412<span lang=\"en-US\">.<\/span>\u041f<span lang=\"en-US\">. <\/span>\u0420\u0443\u0441\u0430\u043a<span lang=\"en-US\">. &#8211; <\/span>\u041c\u0456\u043d\u0441\u043a<span lang=\"en-US\"> : <\/span>\u0411\u0435\u043b\u0430\u0440\u0443\u0441<span lang=\"en-US\">. <\/span>\u043d\u0430\u0432\u0443\u043a\u0430<span lang=\"en-US\">, 2012&#8243;)<\/span><\/p>\n<p><span lang=\"en-US\"><strong>NOUN2013<\/strong> (according to the publication &#8220;<\/span>\u0413\u0440\u0430\u043c\u0430\u0442\u044b\u0447\u043d\u044b \u0441\u043b\u043e\u045e\u043d\u0456\u043a \u043d\u0430\u0437\u043e\u045e\u043d\u0456\u043a\u0430<span lang=\"en-US\"> \/ <\/span>\u043d\u0430\u0432\u0443\u043a<span lang=\"en-US\">. <\/span>\u0440\u044d\u0434<span lang=\"en-US\">. <\/span>\u0412<span lang=\"en-US\">.<\/span>\u041f<span lang=\"en-US\">.<\/span><span lang=\"en-US\">\u00a0<\/span>\u0420\u0443\u0441\u0430\u043a<span lang=\"en-US\">. &#8211; <\/span>\u041c\u0456\u043d\u0441\u043a<span lang=\"en-US\"> : <\/span>\u0411\u0435\u043b\u0430\u0440\u0443\u0441<span lang=\"en-US\">. <\/span>\u043d\u0430\u0432\u0443\u043a\u0430<span lang=\"en-US\">, 2013&#8243;)<\/span><\/p>\n<p><span lang=\"en-US\"><strong>ADJECTIVE2013<\/strong> (according to the publication &#8220;<\/span>\u0413\u0440\u0430\u043c\u0430\u0442\u044b\u0447\u043d\u044b \u0441\u043b\u043e\u045e\u043d\u0456\u043a \u043f\u0440\u044b\u043c\u0435\u0442\u043d\u0456\u043a\u0430<span lang=\"en-US\">, <\/span>\u0437\u0430\u0439\u043c\u0435\u043d\u043d\u0456\u043a\u0430<span lang=\"en-US\">, <\/span>\u043b\u0456\u0447\u044d\u0431\u043d\u0456\u043a\u0430<span lang=\"en-US\">, <\/span>\u043f\u0440\u044b\u0441\u043b\u043e\u045e\u044f<span lang=\"en-US\"> \/ <\/span>\u043d\u0430\u0432\u0443\u043a<span lang=\"en-US\">. <\/span>\u0440\u044d\u0434<span lang=\"en-US\">. <\/span>\u0412<span lang=\"en-US\">.<\/span>\u041f<span lang=\"en-US\">. <\/span>\u0420\u0443\u0441\u0430\u043a<span lang=\"en-US\">. &#8211; <\/span>\u041c\u0456\u043d\u0441\u043a<span lang=\"en-US\"> : <\/span>\u0411\u0435\u043b\u0430\u0440\u0443\u0441<span lang=\"en-US\">. <\/span>\u043d\u0430\u0432\u0443\u043a\u0430<span lang=\"en-US\">, 2013&#8243;)<\/span><\/p>\n<p><span lang=\"en-US\"><strong>NUMERAL2013<\/strong> (according to the publication &#8220;<\/span>\u0413\u0440\u0430\u043c\u0430\u0442\u044b\u0447\u043d\u044b \u0441\u043b\u043e\u045e\u043d\u0456\u043a \u043f\u0440\u044b\u043c\u0435\u0442\u043d\u0456\u043a\u0430<span lang=\"en-US\">, <\/span>\u0437\u0430\u0439\u043c\u0435\u043d\u043d\u0456\u043a\u0430<span lang=\"en-US\">, <\/span>\u043b\u0456\u0447\u044d\u0431\u043d\u0456\u043a\u0430<span lang=\"en-US\">, <\/span>\u043f\u0440\u044b\u0441\u043b\u043e\u045e\u044f<span lang=\"en-US\"> \/ <\/span>\u043d\u0430\u0432\u0443\u043a<span lang=\"en-US\">. <\/span>\u0440\u044d\u0434<span lang=\"en-US\">. <\/span>\u0412<span lang=\"en-US\">.<\/span>\u041f<span lang=\"en-US\">. <\/span>\u0420\u0443\u0441\u0430\u043a<span lang=\"en-US\">. &#8211; <\/span>\u041c\u0456\u043d\u0441\u043a<span lang=\"en-US\"> : <\/span>\u0411\u0435\u043b\u0430\u0440\u0443\u0441<span lang=\"en-US\">. <\/span>\u043d\u0430\u0432\u0443\u043a\u0430<span lang=\"en-US\">, 2013&#8243;)<\/span><\/p>\n<p><span lang=\"en-US\"><strong>PRONOUN2013<\/strong> (according to the publication &#8220;<\/span>\u0413\u0440\u0430\u043c\u0430\u0442\u044b\u0447\u043d\u044b \u0441\u043b\u043e\u045e\u043d\u0456\u043a \u043f\u0440\u044b\u043c\u0435\u0442\u043d\u0456\u043a\u0430<span lang=\"en-US\">, <\/span>\u0437\u0430\u0439\u043c\u0435\u043d\u043d\u0456\u043a\u0430<span lang=\"en-US\">, <\/span>\u043b\u0456\u0447\u044d\u0431\u043d\u0456\u043a\u0430<span lang=\"en-US\">, <\/span>\u043f\u0440\u044b\u0441\u043b\u043e\u045e\u044f<span lang=\"en-US\"> \/ <\/span>\u043d\u0430\u0432\u0443\u043a<span lang=\"en-US\">. <\/span>\u0440\u044d\u0434<span lang=\"en-US\">. <\/span>\u0412<span lang=\"en-US\">.<\/span>\u041f<span lang=\"en-US\">. <\/span>\u0420\u0443\u0441\u0430\u043a<span lang=\"en-US\">. &#8211; <\/span>\u041c\u0456\u043d\u0441\u043a<span lang=\"en-US\"> : <\/span>\u0411\u0435\u043b\u0430\u0440\u0443\u0441<span lang=\"en-US\">. <\/span>\u043d\u0430\u0432\u0443\u043a\u0430<span lang=\"en-US\">, 2013&#8243;)<\/span><\/p>\n<p><span lang=\"en-US\"><strong>VERB2013<\/strong> (according to the publication &#8220;<\/span>\u0413\u0440\u0430\u043c\u0430\u0442\u044b\u0447\u043d\u044b \u0441\u043b\u043e\u045e\u043d\u0456\u043a \u0434\u0437\u0435\u044f\u0441\u043b\u043e\u0432\u0430<span lang=\"en-US\"> \/ <\/span>\u043d\u0430\u0432\u0443\u043a<span lang=\"en-US\">. <\/span>\u0440\u044d\u0434<span lang=\"en-US\">. <\/span>\u0412<span lang=\"en-US\">.<\/span>\u041f<span lang=\"en-US\">.<\/span><span lang=\"en-US\">\u00a0<\/span>\u0420\u0443\u0441\u0430\u043a<span lang=\"en-US\">. &#8211; <\/span>\u041c\u0456\u043d\u0441\u043a<span lang=\"en-US\"> : <\/span>\u0411\u0435\u043b\u0430\u0440\u0443\u0441<span lang=\"en-US\">. <\/span>\u043d\u0430\u0432\u0443\u043a\u0430<span lang=\"en-US\">, 2013&#8243;)<\/span><\/p>\n<p><span lang=\"en-US\"><strong>ADVERB2013<\/strong> (according to the publication &#8220;<\/span>\u0413\u0440\u0430\u043c\u0430\u0442\u044b\u0447\u043d\u044b \u0441\u043b\u043e\u045e\u043d\u0456\u043a \u043f\u0440\u044b\u043c\u0435\u0442\u043d\u0456\u043a\u0430<span lang=\"en-US\">, <\/span>\u0437\u0430\u0439\u043c\u0435\u043d\u043d\u0456\u043a\u0430<span lang=\"en-US\">, <\/span>\u043b\u0456\u0447\u044d\u0431\u043d\u0456\u043a\u0430<span lang=\"en-US\">, <\/span>\u043f\u0440\u044b\u0441\u043b\u043e\u045e\u044f<span lang=\"en-US\"> \/ <\/span>\u043d\u0430\u0432\u0443\u043a<span lang=\"en-US\">. <\/span>\u0440\u044d\u0434<span lang=\"en-US\">. <\/span>\u0412<span lang=\"en-US\">.<\/span>\u041f<span lang=\"en-US\">. <\/span>\u0420\u0443\u0441\u0430\u043a<span lang=\"en-US\">. &#8211; <\/span>\u041c\u0456\u043d\u0441\u043a<span lang=\"en-US\"> : <\/span>\u0411\u0435\u043b\u0430\u0440\u0443\u0441<span lang=\"en-US\">. <\/span>\u043d\u0430\u0432\u0443\u043a\u0430<span lang=\"en-US\">, 2013&#8243;)<\/span><\/p>\n<p><span lang=\"en-US\"><strong>ZALIZNIAK<\/strong> (according to the publication &#8220;<\/span>\u0413\u0440\u0430\u043c\u043c\u0430\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u0441\u043b\u043e\u0432\u0430\u0440\u044c \u0440\u0443\u0441\u0441\u043a\u043e\u0433\u043e \u044f\u0437\u044b\u043a\u0430<span lang=\"en-US\">: <\/span>\u0421\u043b\u043e\u0432\u043e\u0438\u0437\u043c\u0435\u043d\u0435\u043d\u0438\u0435<span lang=\"en-US\"> \/ <\/span>\u0410<span lang=\"en-US\">.<\/span>\u0410<span lang=\"en-US\">. <\/span>\u0417\u0430\u043b\u0438\u0437\u043d\u044f\u043a<span lang=\"en-US\">. \u2013 <\/span>\u041c\u043e\u0441\u043a\u0432\u0430<span lang=\"en-US\"> : <\/span>\u0420\u0443\u0441\u0441\u043a\u0438\u0439 \u044f\u0437\u044b\u043a<span lang=\"en-US\">, 1980. \u2013 880 c.&#8221;)<\/span><\/p>\n<p><span lang=\"en-US\"><strong>CMU<\/strong> (according to &#8220;Carnegie Mellon University Pronouncing Dictionary&#8221;)<\/span><\/p>\n<p><span lang=\"en-US\"><strong>*UWP_BE<\/strong> (Belarusian words from the dictionary available by the link)<\/span><\/p>\n<p><span lang=\"en-US\"><strong>*UWP_RU<\/strong> (Russian words from the dictionary available by the link)<\/span><\/p>\n<p><span lang=\"en-US\">Dictionaries marked with * are in the process of expanding their vocabulary.<\/span><\/p>\n<p><span lang=\"en-US\">The user can select from the list those dictionaries that are necessary for him to analyze the text. For example, to search for homography in a text in Belarusian, it is advisable to select the dictionaries SBM1987, SBM2012initial and others, in Russian <\/span><span lang=\"en-US\">\u2013<\/span><span lang=\"en-US\"> only the ZALIZNIAK dictionary, in English <\/span><span lang=\"be-BY\">\u2013<\/span><span lang=\"en-US\"> only the CMU dictionary.<\/span><\/p>\n<p><span style=\"text-decoration: underline;\"><span lang=\"en-US\">Text processing by the service currently has the following features:<\/span><\/span><\/p>\n<p><span lang=\"en-US\">&#8211; Search is carried out for each dictionary selected by the user separately. It means that cases of interlanguage homography like Bel. \u00ab<\/span>\u0432\u044b\u0433\u043e<span lang=\"en-US\">\u0301<\/span>\u0434\u0430<span lang=\"en-US\">\u00bb (1. Everything that indulges the maximum needs, what is convenient to use; 2. Open space) \u2013 Rus. \u00ab<\/span>\u0432\u044b<span lang=\"en-US\">\u0301<\/span>\u0433\u043e\u0434\u0430<span lang=\"en-US\">\u00bb (Profit, income derived from something) or Bel. \u00ab<\/span>\u0441\u0432\u0430\u044f<span lang=\"en-US\">\u0301\u00bb (possessive pronoun) \u2013 Rus. \u00ab<\/span>\u0441\u0432\u0430<span lang=\"en-US\">\u0301<\/span>\u044f<span lang=\"en-US\">\u00bb (timber which is hammered into the ground to support the structure) will not be revealed. If interlanguage homography is present, but homographic variations can be found for a word within the same language, for example, as in the case of \u00ab<\/span>\u0433\u043e<span lang=\"en-US\">\u0301<\/span>\u0434\u043d\u044b<span lang=\"en-US\">\u00bb and \u00ab<\/span>\u0433\u043e\u0434\u043d\u044b<span lang=\"en-US\">\u0301\u00bb for the Russian language (one of the forms is also present in the Belarusian language) or \u00ab<\/span>\u0440\u0430<span lang=\"en-US\">\u0301<\/span>\u0441\u0430<span lang=\"en-US\">\u00bb and \u00ab<\/span>\u0440\u0430\u0441\u0430<span lang=\"en-US\">\u0301\u00bb for the Belarusian language (one of the forms is also present in the Russian language), the service will show only homography within the framework of one language.<\/span><\/p>\n<p><span lang=\"en-US\">&#8211; To carry out a correct search in dictionaries, words are preliminarily reduced to one register \u2013 upper or lower (depending on the dictionary). Also at the present moment dictionaries that can be connected do not contain proper names. It means that cases like Rus. \u00ab<\/span>\u041a\u043e<span lang=\"en-US\">\u0301<\/span>\u043b\u0438<span lang=\"en-US\">\u00bb (male name in the genitive case) and \u00ab<\/span>\u043a\u043e\u043b\u0438<span lang=\"en-US\">\u0301\u00bb (imperative mood of the 2nd person singular of the verb \u00ab<\/span>\u043a\u043e\u043b\u043e\u0442\u044c<span lang=\"en-US\">\u00bb) or \u00ab<\/span>\u041c\u0430<span lang=\"en-US\">\u0301<\/span>\u0448\u0438<span lang=\"en-US\">\u00bb (female name in the genitive case) and \u00ab<\/span>\u043c\u0430\u0448\u0438<span lang=\"en-US\">\u0301\u00bb (imperative mood of the 2nd person singular of the verb \u00ab<\/span>\u043c\u0430\u0445\u0430\u0442\u044c<span lang=\"en-US\">\u00bb) will not be considered by the service as homographic.<\/span><\/p>\n<p><span lang=\"en-US\">&#8211; The letters of the Russian alphabet \u00ab<\/span>\u0435<span lang=\"en-US\">\u00bb and \u00ab<\/span>\u0451<span lang=\"en-US\">\u00bb are considered by the service as different. It means that cases of homography like \u00ab<\/span>\u0436\u0435<span lang=\"en-US\">\u0301<\/span>\u043d\u044b<span lang=\"en-US\">\u00bb (\u00ab<\/span>\u0436\u0451\u043d\u044b<span lang=\"en-US\">\u00bb) and \u00ab<\/span>\u0436\u0435\u043d\u044b<span lang=\"en-US\">\u0301\u00bb will not be marked as homographic.<\/span><\/p>\n<p><span lang=\"en-US\">&#8211; According to the Oxford Dictionary, in English the word Homograph means \u00aba word that is spelt like another word but has a different meaning from it, and may have a different pronunciation, for example bow \/ ba\u028a \/, bow \/ b\u0259\u028a \/\u00bb. It means that English homographs are determined by the service according to other rules. For example, the word \u201cawesome\u201d will be a homograph, because it has different pronunciation variants of the initial vowel, as well as \u00abrecord\u00bb, because it has one spelling for words with different meanings (verb and noun), and the pronunciation of these words differs by accent.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><strong>Service operation algorithm<\/strong><\/p>\n<p>Algorithm input data:<\/p>\n<ul>\n<li>User text input, UText;<\/li>\n<li>A set of dictionaries connected by the user, Dictionaries;<\/li>\n<li>A set of Cyrillic characters in upper and lower case, LettersCyr;<\/li>\n<li>A set Latin characters in upper and lower case, LettersLat;<\/li>\n<li>A set of additional characters (apostrophes, accents, hyphen), AdditionalCharacters.<\/li>\n<\/ul>\n<p>The beginning of the algorithm.<\/p>\n<p>Step 1.1. Creating the set of main characters MainCharacters by merging the sets LettersCyr and LettersLat.<\/p>\n<p>Step 1.2. Splitting UText into ParagrapsArr set by line feed character. Creation of an empty associative array UniqueWordsArr for subsequent recording of unique words found in ParagrapsArr.<\/p>\n<p>Step 1.3. For each element Paragraph of the ParagrapsArr set, perform steps 1.3.1. \u2013 1.3.4.<\/p>\n<p>Step 1.3.1. Remove all initial and last indent characters from Paragraph.<\/p>\n<p>Step 1.3.2. If Paragraph = \u2205, go to the next Paragraph element and perform step 1.3.1.<\/p>\n<p>Step 1.3.3. Creating the WordsArr array and filling it with elements made up from Paragraph content. An \u00abelement\u00bb is a special set of characters from the beginning of a line to a space, from space to space and from space to the end of a line (or a newline character) that matches the pattern &lt;[1 character of MainCharacters] + [0 or more characters of MainCharacters and AdditionalCharacters]&gt; or the pattern &lt;[0 or more characters of MainCharacters]&gt;. Creating a WordsCnt variable and recording the number of WordsArr elements into it.<\/p>\n<p>Step 1.3.4. For I = 0; I &lt; WordsCnt, I++ perform steps 1.3.4.1. \u2013 1.3.4.2.<\/p>\n<p>Step 1.3.4.1. Creating a Word = WordsArr[I] variable.<\/p>\n<p>Step 1.3.4.2. If Word \u2260 \u2205, reduce all Word characters to lowercase and replace all the initial characters \u00ab\u045e\u00bb with \u00ab\u0443\u00bb (necessary for the subsequent correct search in dictionaries). Try to record Word to the UniqueWordsArr associative array using the Word value as a key and assigning it a value of 1. If the word by the Word key is already present in UniqueWordsArr, increment the value corresponding to it.<\/p>\n<p>Step 2.1 Creating an associative array UniqueHomographsArr for subsequent recording of unique homographs and related information.<\/p>\n<p>Step 2.2 For each UniqueWord in UniqueWordsArr and each Dictionary in Dictionaries, perform steps 2.2.1. \u2013 2.2.3.<\/p>\n<p>Step 2.2.1. Create associative arrays AccentArr and ResultArr. If Dictionary = Homographs_Be (that is, at this step of the cycle the dictionary with this name is viewed), check if Dictionary contains an element identical to the current UniqueWord element. If contains, record the value of the element of the dictionary entry Category corresponding to the current UniqueWord to the AccentArr array, and the value of the corresponding elements of the dictionary entry AccentedWord, Category and LexemeId to the ResultArr array, then go to step 2.2.3. Otherwise, go to the next step.<\/p>\n<p>Step 2.2.2. If Dictionary \u2260 Homographs_Be, perform steps 2.2.2.1 \u2013 2.2.2.3.<\/p>\n<p>Step 2.2.2.1. Create a variable UniqueWordWithSlashes and record the value of the current UniqueWord surrounded by slash characters into it. If also UniqueWordWithSlashes consists only of characters belonging to the LettersLat set surrounded by slash characters, cast all UniqueWordWithSlashes characters to uppercase. Create a Query variable to store the query to the dictionary database and generate its value according to the template \u00abSELECT * FROM% s WHERE word = &#8216;% s\u00bb, where %s is the value of UniqueWordWithSlashes. This step is necessary for the correct search in dictionary databases.<\/p>\n<p>Step 2.2.2.2. If any data in the current Dictionary using the query recorded in the Query variable is found, then until the standard database access function reaches the last row (Row) in the result table, perform steps 2.2.2.2.1. \u2013 2.2.2.2.3.<\/p>\n<p>Step 2.2.2.2.1. Create an AccentedWord variable. If an Accent dictionary entry element is specified in the current Row, record its lowercase value in AccentedWord; if there is no \u00ab+\u00bb symbol in AccentedWord, complete this step of the cycle, go to the next Row and perform step 2.2.2.2.1. again. If the Accent element is not specified, record the value of the Transcription element reduced to lowercase in AccentedWord.<\/p>\n<p>Step 2.2.2.2.2. If both the LexemeId element and the Tag element are specified in the current Row, reinitialize Query with the value \u00abSELECT * FROM tags WHERE tag = &#8216;% s&#8217; LIMIT 1\u00bb, where %s is the value of the Tag element, and try to find any data for this query . If the data is found, then for each row of the result table, record the value of the element of the dictionary entry Category (if any) to the created CategoryVar variable, and the value of the element of the dictionary entry LexemeId into the LexemeIdVar variable, and then free the system resources from the query results.<\/p>\n<p>Step 2.2.2.2.3. Write the value CategoryVar to the array AccentArr, the values AccentedWord, CategoryVar and LexemeIdVar to the array ResultArr.<\/p>\n<p>Step 2.2.2.3. Clear system resources from the results of queries to dictionary databases.<\/p>\n<p>Step 2.2.3. If more than one element is present in AccentArr, perform steps 2.2.3.1. \u2013 2.2.3.8.<\/p>\n<p>Step 2.2.3.1. If UniqueHomographsArr does not have an element equal to the current UniqueWord, set such an element as an empty array. Create an AccentList variable and initialize it with an empty value.<\/p>\n<p>Step 2.2.3.2. For each AccentedWord element in AccentArr (this element has its own CategoryArr array), perform the following actions in direct order:<\/p>\n<ul>\n<li>Add value of current AccentedWord to AccentList.<\/li>\n<li>If CategoryArr \u2260 \u2205, add to AccentList the string \u00ab&amp;nbsp;&lt;small&gt;(\u00bb, value of all unique elements of CategoryArr imploded into a siring via string \u00ab, \u00bb, and the string \u00ab)&lt;\/small&gt;\u00bb.<\/li>\n<li>Add the string \u00ab&lt;br&gt;\\n\u00bb to<\/li>\n<\/ul>\n<p>Step 2.2.3.3. Replace in AccentList all combinations [any character +\u00ab=\u00bbcharacter] with the same character but equipped with a grave accent symbol and surrounded by HTML tags for makin it blue. Replace in AccentList all combinations [any character + \u00ab+\u00bb character] with the same character, but equipped with the acute accent character and surrounded by HTML tags to making it red.<\/p>\n<p>***Steps 2.2.3.2. and 2.2.3.3. are necessary for the formation of the correct issuance***<\/p>\n<p>Step 2.2.3.4. Remove duplicate values from ResultArr. Create associative arrays LexemeIdArr and CategoryArr.<\/p>\n<p>Step 2.2.3.5. If the HomographArray element corresponding to the current UniqueWord, which in its turn corresponds to the current Dictionary, is not specified (hereinafter, this element will be named as X), then for each WordInfo element in ResultArr check whether the element of the dictionary entry Category and the element LexemeId are specified in it. If at least one of these elements is not specified, write the Accents value equal to AccentList and the Type value equal to \u00ab-\u00bb in X (that is, the type of homography is not defined).<\/p>\n<p>Step 2.2.3.6. If X is not specified after the previous step, then for each WordInfo element in ResultArr, check whether the WordInfo element is specified in LexemeIdArr, which in its turn corresponds to the element of the dictionary entry LexemeId. If it is not specified, make it equal to one, otherwise write the Accents value equal to AccentList and the Type value equal to \u00abone paradigm\u00bb in X (that is, homographs belong to the same declination or conjugation paradigm).<\/p>\n<p>Step 2.2.3.7. If X is not specified after the previous step, then for each WordInfo element in ResultArr, check whether the WordInfo element is specified in CategoryArr, which in its turn corresponds to the element of the dictionary entry Category. If it is not specified, make it equal to one, otherwise write in X the value of Accents, equal to AccentList, and the value of Type, equal to \u00abone part of speech\u00bb (that is, homographs belong to one part of speech).<\/p>\n<p>Step 2.2.3.8. If after the previous step X is not specified, then write in X the value of Accents equal to AccentList and the value of Type equal to \u00abdifferent parts of speech\u00bb (that is, homographs belong to different parts of speech).<\/p>\n<p>Step 3. Formation of contexts. For each element Paragraph of the ParagrapsArr set, perform steps 3.1. \u2013 3.4.<\/p>\n<p>Step 3.1. Remove all initial and last indent characters from Paragraph.<\/p>\n<p>Step 3.2. If Paragraph = \u2205, go to the next Paragraph element and perform step 3.1.<\/p>\n<p>Step 3.3. Creating the WordsArr array and filling it with elements made up from Paragraph content. An \u00abelement\u00bb is a special set of characters from the beginning of a line to a space, from space to space and from space to the end of a line (or a newline character) that matches the pattern &lt;[1 character of MainCharacters] + [0 or more characters of MainCharacters and AdditionalCharacters]&gt; or the pattern &lt;[0 or more characters of MainCharacters]&gt;. Creating a WordsCnt variable and writing the number of WordsArr elements into it.<\/p>\n<p>Step 3.4. For I = 0; I &lt; WordsCnt, I++ perform steps 3.4.1. \u2013 3.4.3.<\/p>\n<p>Step 3.4.1. Creating a Word = WordsArr[I] variable.<\/p>\n<p>Step 3.4.2. If Word \u2260 \u2205, reduce all Word characters to lowercase and replace all initial characters \u00ab\u045e\u00bb with \u00ab\u0443\u00bb.<\/p>\n<p>Step 3.4.3. For a UniqueHomographsArr array element equal to the Word value, write in UniqueHomographsArr Y elements that are situated in WordsArr before the Word element, the Word element itself and Y elements that are situated in WordsArr after the Word element, 0 \u2a7d Y \u2a7d 3, Y \u2208 N, where N is the set of natural numbers.<\/p>\n<p>Step 4. Formation of the issue. For each homograph found, present accent variants, the type of homograph, the number of appearing of this homograph in the source text, contexts of use and the name of the dictionary in which the homograph was found.<\/p>\n<p>The end of the algorithm.<\/p>\n<p>&nbsp;<\/p>\n<p><strong><span lang=\"en-US\">User interface description<\/span><\/strong><\/p>\n<p><span lang=\"en-US\">The user interface of the service is shown in Figure 1.<\/span><\/p>\n<p><a href=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2016\/05\/homograph-identifier-1.png\" class=\"grouped_elements\" rel=\"tc-fancybox-group4218\" title=\"Homograph Identifier\"><img loading=\"lazy\" src=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2016\/05\/homograph-identifier-1.png\" alt=\"\" width=\"914\" height=\"562\" \/><\/a><\/p>\n<p align=\"center\"><span lang=\"en-US\">Figure 1 \u2013 Graphical interface of the service \u00abHomograph Identifier\u00bb<\/span><\/p>\n<p><span lang=\"en-US\">The interface contains the following areas:<\/span><\/p>\n<ul>\n<li><span lang=\"en-US\">input field for electronic text;<\/span><\/li>\n<li><span lang=\"en-US\">field for choosing dictionaries;<\/span><\/li>\n<li>\u201c<span lang=\"en-US\">Search homographs!\u201d button which starts processing;<\/span><\/li>\n<li><span lang=\"en-US\">field for outputting results that appears after processing and looks like a table.<\/span><\/li>\n<\/ul>\n<p><span lang=\"en-US\">The following data is displayed in the output field:<\/span><\/p>\n<ul>\n<li><span lang=\"en-US\">homograph word;<\/span><\/li>\n<li><span lang=\"en-US\">accent variants in homograph words;<\/span><\/li>\n<li><span lang=\"en-US\">type of homograph (part-of-speech definition);<\/span><\/li>\n<li><span lang=\"en-US\">number of entries in the text;<\/span><\/li>\n<li><span lang=\"en-US\">contexts of entries;<\/span><\/li>\n<li><span lang=\"en-US\">a dictionary (dictionaries) by which a search for homographs was made.<\/span><\/li>\n<\/ul>\n<p><span lang=\"en-US\">The service also offers the user to receive homographs in the form of a regular list. To get such a list, you must click on the appropriate link in the output field.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><strong><span lang=\"en-US\">User scenarios of work with the service<\/span><\/strong><\/p>\n<p><span lang=\"en-US\">Scenario 1: Search homographs with the default dictionaries<\/span><\/p>\n<ol>\n<li><span lang=\"en-US\">Enter in the input field text that requires the identification of homographs.<\/span><\/li>\n<li><span lang=\"en-US\">Press the button \u00abSearch homographs!\u00bb to run the search and to get results.<\/span><\/li>\n<li><span lang=\"en-US\">View the list of found homographs in the output field and, if necessary, make changes to the source text (for example, put written accents on).<\/span><\/li>\n<\/ol>\n<p><span lang=\"en-US\">Scenario 1: Search homographs with the user-chosen dictionaries<\/span><\/p>\n<ol>\n<li><span lang=\"en-US\">Enter in the input field text that requires the identification of homographs.<\/span><\/li>\n<li><span lang=\"en-US\">Choose necessary dictionaries.<\/span><\/li>\n<li><span lang=\"en-US\">Press the button \u00abSearch homographs!\u00bb to run the search and to get results.<\/span><\/li>\n<li><span lang=\"en-US\">View the list of found homographs in the output field and, if necessary, make changes to the source text (for example, put written accents on).<\/span><\/li>\n<\/ol>\n<p><span lang=\"en-US\">A possible result of the service work is presented in Figure 2.<\/span><\/p>\n<p><a href=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2016\/05\/homograph-identifier-2.png\" class=\"grouped_elements\" rel=\"tc-fancybox-group4218\" title=\"Homograph Identifier\"><img loading=\"lazy\" src=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2016\/05\/homograph-identifier-2.png\" alt=\"\" width=\"893\" height=\"298\" \/><\/a><\/p>\n<p align=\"center\"><span lang=\"en-US\">Figure 2 \u2013 Result of the \u00abHomograph Identifier\u00bb service work<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><strong><span lang=\"en-US\">Access to the service via the API<\/span><\/strong><\/p>\n<p><span lang=\"en-US\">To access the service <a href=\"https:\/\/corpus.by\/HomographIdentifier\/?lang=en\">\u00abHomograph Identifier\u00bb<\/a> via the API you need to send an AJAX request of the POST type to the address https:\/\/corpus.by\/HomographIdentifier\/api.php. The following parameters are passed through the data array:<\/span><\/p>\n<ul>\n<li><span lang=\"en-US\"><strong><em>text<\/em> <\/strong>\u2013 arbitrary input text.<\/span><\/li>\n<li><span lang=\"en-US\">Markers of the use of dictionaries:<\/span>\n<ul>\n<li><span lang=\"en-US\"><strong><em>sbm1987<\/em><\/strong> \u2013 \u00ab<\/span>\u0421\u043b\u043e\u045e\u043d\u0456\u043a \u0431\u0435\u043b\u0430\u0440\u0443\u0441\u043a\u0430\u0439 \u043c\u043e\u0432\u044b<span lang=\"en-US\">. <\/span>\u0410\u0440\u0444\u0430\u0433\u0440\u0430\u0444\u0456\u044f<span lang=\"en-US\">. <\/span>\u0410\u0440\u0444\u0430\u044d\u043f\u0456\u044f. \u0410\u043a\u0446\u044d\u043d\u0442\u0443\u0430\u0446\u044b\u044f. \u0421\u043b\u043e\u0432\u0430\u0437\u043c\u044f\u043d\u0435\u043d\u043d\u0435 \/ \u043f\u0430\u0434 \u0440\u044d\u0434. \u041c.\u0412. \u0411\u0456\u0440\u044b\u043b\u044b. \u2013 \u041c\u0456\u043d\u0441\u043a, 1987\u00bb;<\/li>\n<li><em><strong>sbm2012initial<\/strong> <\/em>\u2013 \u00ab\u0421\u043b\u043e\u045e\u043d\u0456\u043a \u0431\u0435\u043b\u0430\u0440\u0443\u0441\u043a\u0430\u0439 \u043c\u043e\u0432\u044b. \/ \u043d\u0430\u0432\u0443\u043a. \u0440\u044d\u0434. \u0410.\u0410.\u00a0\u041b\u0443\u043a\u0430\u0448\u0430\u043d\u0435\u0446, \u0412.\u041f. \u0420\u0443\u0441\u0430\u043a. \u2013 \u041c\u0456\u043d\u0441\u043a : \u0411\u0435\u043b\u0430\u0440\u0443\u0441. \u043d\u0430\u0432\u0443\u043a\u0430, 2012\u00bb;<\/li>\n<li><span lang=\"en-US\"><em><strong>noun2013<\/strong> <\/em>\u2013 nouns according to the book \u00ab<\/span>\u0413\u0440\u0430\u043c\u0430\u0442\u044b\u0447\u043d\u044b \u0441\u043b\u043e\u045e\u043d\u0456\u043a \u043d\u0430\u0437\u043e\u045e\u043d\u0456\u043a\u0430<span lang=\"en-US\"> \/ <\/span>\u043d\u0430\u0432\u0443\u043a<span lang=\"en-US\">. <\/span>\u0440\u044d\u0434<span lang=\"en-US\">. <\/span>\u0412.\u041f. \u0420\u0443\u0441\u0430\u043a. \u2013 \u041c\u0456\u043d\u0441\u043a : \u0411\u0435\u043b\u0430\u0440\u0443\u0441. \u043d\u0430\u0432\u0443\u043a\u0430, 2013\u00bb;<\/li>\n<li><em><strong>adjective2013<\/strong><\/em> \u2013 <span lang=\"en-US\">adjectives<\/span> <span lang=\"en-US\">according<\/span> <span lang=\"en-US\">to<\/span> <span lang=\"en-US\">the<\/span> <span lang=\"en-US\">book<\/span> \u00ab\u0413\u0440\u0430\u043c\u0430\u0442\u044b\u0447\u043d\u044b \u0441\u043b\u043e\u045e\u043d\u0456\u043a \u043f\u0440\u044b\u043c\u0435\u0442\u043d\u0456\u043a\u0430, \u0437\u0430\u0439\u043c\u0435\u043d\u043d\u0456\u043a\u0430, \u043b\u0456\u0447\u044d\u0431\u043d\u0456\u043a\u0430, \u043f\u0440\u044b\u0441\u043b\u043e\u045e\u044f \/ \u043d\u0430\u0432\u0443\u043a. \u0440\u044d\u0434. \u0412.\u041f. \u0420\u0443\u0441\u0430\u043a. \u2013 \u041c\u0456\u043d\u0441\u043a : \u0411\u0435\u043b\u0430\u0440\u0443\u0441. \u043d\u0430\u0432\u0443\u043a\u0430, 2013\u00bb;<\/li>\n<li><em><strong>numeral2013<\/strong> <\/em>\u2013 <span lang=\"en-US\">numerals<\/span> <span lang=\"en-US\">according<\/span> <span lang=\"en-US\">to<\/span> <span lang=\"en-US\">the<\/span> <span lang=\"en-US\">book<\/span> \u00ab\u0413\u0440\u0430\u043c\u0430\u0442\u044b\u0447\u043d\u044b \u0441\u043b\u043e\u045e\u043d\u0456\u043a \u043f\u0440\u044b\u043c\u0435\u0442\u043d\u0456\u043a\u0430, \u0437\u0430\u0439\u043c\u0435\u043d\u043d\u0456\u043a\u0430, \u043b\u0456\u0447\u044d\u0431\u043d\u0456\u043a\u0430, \u043f\u0440\u044b\u0441\u043b\u043e\u045e\u044f \/ \u043d\u0430\u0432\u0443\u043a. \u0440\u044d\u0434. \u0412.\u041f. \u0420\u0443\u0441\u0430\u043a. \u2013 \u041c\u0456\u043d\u0441\u043a : \u0411\u0435\u043b\u0430\u0440\u0443\u0441. \u043d\u0430\u0432\u0443\u043a\u0430, 2013\u00bb;<\/li>\n<li><em><strong>pronoun2013<\/strong> <\/em>\u2013 <span lang=\"en-US\">pronouns<\/span> <span lang=\"en-US\">according<\/span> <span lang=\"en-US\">to<\/span> <span lang=\"en-US\">the<\/span> <span lang=\"en-US\">book<\/span> \u00ab\u0413\u0440\u0430\u043c\u0430\u0442\u044b\u0447\u043d\u044b \u0441\u043b\u043e\u045e\u043d\u0456\u043a \u043f\u0440\u044b\u043c\u0435\u0442\u043d\u0456\u043a\u0430, \u0437\u0430\u0439\u043c\u0435\u043d\u043d\u0456\u043a\u0430, \u043b\u0456\u0447\u044d\u0431\u043d\u0456\u043a\u0430, \u043f\u0440\u044b\u0441\u043b\u043e\u045e\u044f \/ \u043d\u0430\u0432\u0443\u043a. \u0440\u044d\u0434. \u0412.\u041f. \u0420\u0443\u0441\u0430\u043a. \u2013 \u041c\u0456\u043d\u0441\u043a : \u0411\u0435\u043b\u0430\u0440\u0443\u0441. \u043d\u0430\u0432\u0443\u043a\u0430, 2013\u00bb;<\/li>\n<li><span lang=\"en-US\"><em><strong>verb2013<\/strong> <\/em>\u2013 verbs according to the book \u00ab<\/span>\u0413\u0440\u0430\u043c\u0430\u0442\u044b\u0447\u043d\u044b \u0441\u043b\u043e\u045e\u043d\u0456\u043a \u0434\u0437\u0435\u044f\u0441\u043b\u043e\u0432\u0430<span lang=\"en-US\"> \/ <\/span>\u043d\u0430\u0432\u0443\u043a<span lang=\"en-US\">. <\/span>\u0440\u044d\u0434<span lang=\"en-US\">. <\/span>\u0412.\u041f. \u0420\u0443\u0441\u0430\u043a. \u2013 \u041c\u0456\u043d\u0441\u043a : \u0411\u0435\u043b\u0430\u0440\u0443\u0441. \u043d\u0430\u0432\u0443\u043a\u0430, 2013\u00bb;<\/li>\n<li><em><strong>adverb2013<\/strong> <\/em>\u2013 <span lang=\"en-US\">adverbs<\/span> <span lang=\"en-US\">according<\/span> <span lang=\"en-US\">to<\/span> <span lang=\"en-US\">the<\/span> <span lang=\"en-US\">book<\/span> \u00ab\u0413\u0440\u0430\u043c\u0430\u0442\u044b\u0447\u043d\u044b \u0441\u043b\u043e\u045e\u043d\u0456\u043a \u043f\u0440\u044b\u043c\u0435\u0442\u043d\u0456\u043a\u0430, \u0437\u0430\u0439\u043c\u0435\u043d\u043d\u0456\u043a\u0430, \u043b\u0456\u0447\u044d\u0431\u043d\u0456\u043a\u0430, \u043f\u0440\u044b\u0441\u043b\u043e\u045e\u044f \/ \u043d\u0430\u0432\u0443\u043a. \u0440\u044d\u0434. \u0412.\u041f.\u00a0\u0420\u0443\u0441\u0430\u043a. \u2013 \u041c\u0456\u043d\u0441\u043a : \u0411\u0435\u043b\u0430\u0440\u0443\u0441. \u043d\u0430\u0432\u0443\u043a\u0430, 2013\u00bb;<\/li>\n<li><em><strong>zalizniak<\/strong> <\/em>\u2013 \u00ab\u0413\u0440\u0430\u043c\u043c\u0430\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u0441\u043b\u043e\u0432\u0430\u0440\u044c \u0440\u0443\u0441\u0441\u043a\u043e\u0433\u043e \u044f\u0437\u044b\u043a\u0430: \u0421\u043b\u043e\u0432\u043e\u0438\u0437\u043c\u0435\u043d\u0435\u043d\u0438\u0435 \/ \u0410.\u0410. \u0417\u0430\u043b\u0438\u0437\u043d\u044f\u043a. \u2013 \u041c\u043e\u0441\u043a\u0432\u0430 : \u0420\u0443\u0441\u0441\u043a\u0438\u0439 \u044f\u0437\u044b\u043a, 1980. \u2013 880 c.\u00bb;<\/li>\n<li><span lang=\"en-US\"><em><strong>cmu<\/strong> <\/em>\u2013 \u00abCarnegie Mellon University Pronouncing Dictionary\u00bb;<\/span><\/li>\n<li><span lang=\"en-US\"><em><strong>uwp_be<\/strong> <\/em>\u2013 Belarusian words collected by the system \u00abUnknown Words Processing\u00bb; <\/span><\/li>\n<li><span lang=\"en-US\"><em><strong>uwp_ru<\/strong> <\/em>\u2013 Russian words collected by the system \u00abUnknown Words Processing\u00bb.<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><span lang=\"en-US\">Example of AJAX request:<\/span><\/p>\n<blockquote><p><span lang=\"en-US\">$.ajax({<\/span><\/p>\n<p><span lang=\"en-US\">type: \u201cPOST\u201d,<\/span><\/p>\n<p><span lang=\"en-US\">url: \u201chttps:\/\/corpus.by\/HomographIdentifier\/api.php\u201d,<\/span><\/p>\n<p><span lang=\"en-US\">data:{<\/span><\/p>\n<p>\u201c<span lang=\"en-US\">text\u201d: \u201c\u2013 <\/span>\u041c\u0430\u0451 \u0436\u044b\u0446\u0446\u0451 \u0442\u0430\u043a\u043e\u0435 \u0430\u0434\u043d\u0430\u0441\u0442\u0430\u0439\u043d\u0430\u0435<span lang=\"en-US\">. <\/span>\u042f \u043f\u0430\u043b\u044e\u044e \u043d\u0430 \u043a\u0443\u0440\u044d\u0439, \u043b\u044e\u0434\u0437\u0456 \u043f\u0430\u043b\u044e\u044e\u0446\u044c \u043d\u0430 \u043c\u044f\u043d\u0435. \u0423\u0441\u0435 \u043a\u0443\u0440\u044b \u043f\u0430\u0434\u043e\u0431\u043d\u044b \u0430\u0434\u043d\u0430 \u043d\u0430 \u0430\u0434\u043d\u0443, \u0456 \u045e\u0441\u0435 \u043b\u044e\u0434\u0437\u0456 \u043f\u0430\u0434\u043e\u0431\u043d\u044b \u0430\u0434\u0437\u0456\u043d \u043d\u0430 \u0430\u0434\u043d\u0430\u0433\u043e. \u0417 \u0433\u044d\u0442\u0430\u0439 \u043f\u0440\u044b\u0447\u044b\u043d\u044b \u043c\u043d\u0435 \u0456 \u0441\u0443\u043c\u043d\u0430\u0432\u0430\u0442\u0430. \u0410\u043b\u0435, \u043a\u0430\u043b\u0456 \u0442\u044b \u043f\u0440\u044b\u0440\u0443\u0447\u044b\u0448 \u043c\u044f\u043d\u0435, \u0436\u044b\u0446\u0446\u0451 \u043c\u0430\u0451 \u043d\u0456\u0431\u044b \u0441\u043e\u043d\u0446\u0430\u043c \u0430\u0437\u0430\u0440\u044b\u0446\u0446\u0430. \u042f \u043d\u0430\u0432\u0443\u0447\u0443\u0441\u044f \u0440\u0430\u0441\u043f\u0430\u0437\u043d\u0430\u0432\u0430\u0446\u044c \u0442\u0432\u0430\u0435 \u043a\u0440\u043e\u043a\u0456 \u0441\u044f\u0440\u043e\u0434 \u0442\u044b\u0441\u044f\u0447\u044b \u0456\u043d\u0448\u044b\u0445. \u041a\u0430\u043b\u0456 \u044f \u0447\u0443\u044e \u043b\u044e\u0434\u0441\u043a\u0456\u044f \u043a\u0440\u043e\u043a\u0456, \u044f \u045e\u0446\u044f\u043a\u0430\u044e \u0456 \u0445\u0430\u0432\u0430\u044e\u0441\u044f. \u0422\u0432\u0430\u0435 \u0436 \u043f\u0430\u043a\u043b\u0456\u0447\u0443\u0446\u044c \u043c\u044f\u043d\u0435 \u0437 \u043d\u0430\u0440\u044b \u044f\u043a \u043c\u0443\u0437\u044b\u043a\u0430. \u0406 \u043f\u043e\u0442\u044b\u043c \u2013 \u043f\u0430\u0433\u043b\u044f\u0434\u0437\u0456! \u0411\u0430\u0447\u044b\u0448, \u0442\u0430\u043c, \u0443\u0434\u0430\u043b\u0435\u0447\u044b\u043d\u0456, \u0436\u044b\u0442\u043d\u044f\u0435 \u043f\u043e\u043b\u0435? \u042f \u043d\u0435 \u0435\u043c \u0445\u043b\u0435\u0431\u0430. \u0416\u044b\u0442\u0430 \u043c\u043d\u0435 \u043d\u0456 \u0434\u0430 \u0447\u0430\u0433\u043e. \u0417\u0431\u0430\u0436\u044b\u043d\u0430 \u043d\u0456\u0447\u043e\u0433\u0430 \u043d\u0435 \u043d\u0430\u043f\u0430\u043c\u0456\u043d\u0430\u0435 \u043c\u043d\u0435. \u0406 \u0433\u044d\u0442\u0430 \u0442\u0430\u043a \u0441\u0443\u043c\u043d\u0430! \u0410 \u045e \u0446\u044f\u0431\u0435 \u0437\u0430\u043b\u0430\u0442\u044b\u044f \u0432\u0430\u043b\u0430\u0441\u044b. \u0406 \u044f\u043a \u0446\u0443\u0434\u043e\u045e\u043d\u0430 \u0431\u044b\u043b\u043e \u0431, \u043a\u0430\u043b\u0456 \u0431 \u0442\u044b \u043f\u0440\u044b\u0440\u0443\u0447\u044b\u045e \u043c\u044f\u043d\u0435! \u0417\u0430\u043b\u0430\u0442\u043e\u0435 \u0436\u044b\u0442\u0430 \u0437\u0430\u045e\u0441\u0451\u0434\u044b \u0431\u044b\u043b\u043e \u0431 \u043c\u043d\u0435 \u043d\u0430\u043f\u0430\u043c\u0456\u043d\u043a\u0430\u043c \u043f\u0440\u0430 \u0446\u044f\u0431\u0435\u2026 \u042f \u043f\u0430\u043b\u044e\u0431\u0456\u045e \u0431\u044b \u043f\u0435\u0441\u043d\u044e \u0432\u0435\u0442\u0440\u0443 \u045e \u043a\u0430\u043b\u043e\u0441\u0441\u0456\u2026\u201d,<\/p>\n<p>\u201c<span lang=\"en-US\">sbm1987\u201d: 1,<\/span><\/p>\n<p>\u201c<span lang=\"en-US\">sbm2012initial\u201d: 1<\/span><\/p>\n<p><span lang=\"en-US\">},<\/span><\/p>\n<p><span lang=\"en-US\">success: function(msg){ },<\/span><\/p>\n<p><span lang=\"en-US\">error: function() { }<\/span><\/p>\n<p><span lang=\"en-US\">});<\/span><\/p><\/blockquote>\n<p><span lang=\"en-US\">The server will return a JSON array with input text (parameter text), a list of homographs found in the text (parameter result), an array with details of the result (parameter resultArr), the number of identified homographs (parameter resultCnt) and a link to the list of identified homographs (parameter resultUrl). For example, using the above AJAX request, the following response will be generated:<\/span><\/p>\n<blockquote><p><span lang=\"en-US\">[<\/span><\/p>\n<p><span lang=\"en-US\">{<\/span><\/p>\n<p>\u201c<span lang=\"en-US\">text\u201d: \u201c<\/span>\u0413\u0440\u0443\u0448\u0430 \u0446\u0432\u0456\u043b\u0430 \u0430\u043f\u043e\u0448\u043d\u0456 \u0433\u0440\u043e\u0434<span lang=\"en-US\">.\u201d,<\/span><\/p>\n<p>\u201cresult\u201d: \u201c\u043a\u0443\u0440\u044b<\/p>\n<p>\u043b\u044e\u0434\u0441\u043a\u0456\u044f<\/p>\n<p>\u043d\u0430\u0440\u044b<\/p>\n<p>\u043c\u0443\u0437\u044b\u043a\u0430<\/p>\n<p>\u043c\u0443\u0437\u044b\u043a\u0430\u201d,<\/p>\n<p>\u201cresultArr\u201d: {<\/p>\n<p>\u201cSBM1987\u201d: {<\/p>\n<p>\u201c\u043a\u0443\u0440\u044b\u201d: {<\/p>\n<p>\u201caccents\u201d: \u201c\u043a\u0443\u0301\u0440\u044b \u043a\u0443\u0440\u044b\u0301\u201d,<\/p>\n<p>\u201ctype\u201d: \u201c\u0430\u0434\u043d\u0430 \u0447\u0430\u0441\u0446\u0456\u043d\u0430 \u043c\u043e\u0432\u044b\u201d,<\/p>\n<p>\u201ccount\u201d: 1,<\/p>\n<p>\u201ccontexts\u201d: \u201c\u2026 \u043d\u0430 \u043c\u044f\u043d\u0435. \u0423\u0441\u0435 \u043a\u0443\u0440\u044b \u043f\u0430\u0434\u043e\u0431\u043d\u044b \u0430\u0434\u043d\u0430 \u043d\u0430 \u2026\u201d<\/p>\n<p>},<\/p>\n<p>\u201c\u043b\u044e\u0434\u0441\u043a\u0456\u044f\u201d: {<\/p>\n<p>\u201caccents\u201d: \u201c\u043b\u044e\u0301\u0434\u0441\u043a\u0456\u044f \u043b\u044e\u0434\u0441\u043a\u0456\u0301\u044f\u201d,<\/p>\n<p>\u201ctype\u201d: \u201c\u0430\u0434\u043d\u0430 \u0447\u0430\u0441\u0446\u0456\u043d\u0430 \u043c\u043e\u0432\u044b\u201d,<\/p>\n<p>\u201ccount\u201d: 1,<\/p>\n<p>\u201ccontexts\u201d: \u201c\u2026 \u041a\u0430\u043b\u0456 \u044f \u0447\u0443\u044e \u043b\u044e\u0434\u0441\u043a\u0456\u044f \u043a\u0440\u043e\u043a\u0456, \u044f \u045e\u0446\u044f\u043a\u0430\u044e \u2026\u201d<\/p>\n<p>},<\/p>\n<p>\u201c\u043d\u0430\u0440\u044b\u201d: {<\/p>\n<p>\u201caccents\u201d: \u201c\u043d\u0430\u0440\u044b\u0301 \u043d\u0430\u0301\u0440\u044b\u201d,<\/p>\n<p>\u201ctype\u201d: \u201c\u0430\u0434\u043d\u0430 \u0447\u0430\u0441\u0446\u0456\u043d\u0430 \u043c\u043e\u0432\u044b\u201d,<\/p>\n<p>\u201ccount\u201d: 1,<\/p>\n<p>\u201ccontexts\u201d: \u201c\u2026 \u043f\u0430\u043a\u043b\u0456\u0447\u0443\u0446\u044c \u043c\u044f\u043d\u0435 \u0437 \u043d\u0430\u0440\u044b \u044f\u043a \u043c\u0443\u0437\u044b\u043a\u0430. \u0406 \u2026\u201d<\/p>\n<p>},<\/p>\n<p>\u201c\u043c\u0443\u0437\u044b\u043a\u0430\u201d: {<\/p>\n<p>\u201caccents\u201d: \u201c\u043c\u0443\u0437\u044b\u0301\u043a\u0430 \u043c\u0443\u0301\u0437\u044b\u043a\u0430\u201d,<\/p>\n<p>\u201ctype\u201d: \u201c\u0430\u0434\u043d\u0430 \u0447\u0430\u0441\u0446\u0456\u043d\u0430 \u043c\u043e\u0432\u044b\u201d,<\/p>\n<p>\u201ccount\u201d: 1,<\/p>\n<p>\u201ccontexts\u201d: \u201c\u2026 \u0437 \u043d\u0430\u0440\u044b \u044f\u043a \u043c\u0443\u0437\u044b\u043a\u0430. \u0406 \u043f\u043e\u0442\u044b\u043c \u2013 \u043f\u0430\u0433\u043b\u044f\u0434\u0437\u0456! \u2026\u201d<\/p>\n<p>}<\/p>\n<p>},<\/p>\n<p>\u201cSBM2012initial\u201d: {<\/p>\n<p>\u201c\u043c\u0443\u0437\u044b\u043a\u0430\u201d: {<\/p>\n<p>\u201c<span lang=\"en-US\">accents\u201d: \u201c<\/span>\u043c\u0443\u0437\u044b<span lang=\"en-US\">\u0301<\/span>\u043a\u0430 \u043c\u0443<span lang=\"en-US\">\u0301<\/span>\u0437\u044b\u043a\u0430<span lang=\"en-US\">\u201d,<\/span><\/p>\n<p>\u201c<span lang=\"en-US\">type\u201d: \u201c\u2013\u201d,<\/span><\/p>\n<p>\u201c<span lang=\"en-US\">count\u201d: 1,<\/span><\/p>\n<p>\u201ccontexts\u201d: \u201c\u2026 \u0437 \u043d\u0430\u0440\u044b \u044f\u043a \u043c\u0443\u0437\u044b\u043a\u0430. \u0406 \u043f\u043e\u0442\u044b\u043c \u2013 \u043f\u0430\u0433\u043b\u044f\u0434\u0437\u0456! \u2026\u201d<\/p>\n<p>}<\/p>\n<p>}<\/p>\n<p>},<\/p>\n<p>\u201cresultCnt\u201d: \u201c5\u201d,<\/p>\n<p>\u201cresultUrl\u201d: \u201chttps:\/\/corpus.by\/&lt;\u2026&gt;\u201d,<\/p>\n<p><span lang=\"en-US\">}<\/span><\/p>\n<p><span lang=\"en-US\">]<\/span><\/p><\/blockquote>\n<p>&nbsp;<\/p>\n<p><strong><span lang=\"en-US\">Source references<\/span><\/strong><\/p>\n<p><span lang=\"en-US\">Service page: <a href=\"https:\/\/corpus.by\/HomographIdentifier\/?lang=be\">https:\/\/corpus.by\/HomographIdentifier\/?lang=be<\/a><\/span><\/p>\n<p><strong>Cross references<\/strong><\/p>\n<ol>\n<li>\u0413\u0435\u0446\u044d\u0432\u0456\u0447, \u042e.\u0421. <a href=\"https:\/\/ssrlab.by\/5008\">\u041a\u0430\u043c\u043f\u2019\u044e\u0442\u0430\u0440\u043d\u0430-\u043b\u0456\u043d\u0433\u0432\u0456\u0441\u0442\u044b\u0447\u043d\u044b\u044f \u0441\u044d\u0440\u0432\u0456\u0441\u044b www.corpus.by \u0434\u043b\u044f \u0430\u045e\u0442\u0430\u043c\u0430\u0442\u044b\u0447\u043d\u0430\u0439 \u0430\u043f\u0440\u0430\u0446\u043e\u045e\u043a\u0456 \u0442\u044d\u043a\u0441\u0442\u0430\u045e<\/a> \/ \u042f.\u0421. \u041a\u0430\u0447\u0430\u043d, \u0421.\u0406. \u041b\u044b\u0441\u044b, \u042e.\u0421. \u0413\u0435\u0446\u044d\u0432\u0456\u0447, \u0413.\u0420. \u0421\u0442\u0430\u043d\u0456\u0441\u043b\u0430\u0432\u0435\u043d\u043a\u0430, \u0410.\u0412. \u0413\u044e\u043d\u0442\u0430\u0440 \/\/ \u041d\u0430\u0446\u044b\u044f\u043d\u0430\u043b\u044c\u043d\u0430-\u043a\u0443\u043b\u044c\u0442\u0443\u0440\u043d\u044b \u043a\u0430\u043c\u043f\u0430\u043d\u0435\u043d\u0442 \u0443 \u043b\u0456\u0442\u0430\u0440\u0430\u0442\u0443\u0440\u043d\u0430\u0439 \u0456 \u0434\u044b\u044f\u043b\u0435\u043a\u0442\u043d\u0430\u0439 \u043c\u043e\u0432\u0435 : \u0437\u0431. \u043d\u0430\u0432\u0443\u043a. \u0430\u0440\u0442. \/ \u0411\u0440\u044d\u0441\u0446. \u0434\u0437\u044f\u0440\u0436. \u0443\u043d-\u0442 \u0456\u043c\u044f \u0410. \u0421. \u041f\u0443\u0448\u043a\u0456\u043d\u0430 ; \u0440\u044d\u0434\u043a\u0430\u043b.: \u0421. \u0424. \u0411\u0443\u0442-\u0413\u0443\u0441\u0430\u0456\u043c [\u0456 \u0456\u043d\u0448.]. \u2013 \u0411\u0440\u044d\u0441\u0442 : \u0411\u0440\u0414\u0423, 2016. \u2014 C. 93-104.<\/li>\n<li>\u041a\u0430\u0437\u043b\u043e\u045e\u0441\u043a\u0430\u044f, \u041d.\u0414. <a href=\"https:\/\/ssrlab.by\/en\/5622\">\u0412\u044b\u043a\u0430\u0440\u044b\u0441\u0442\u0430\u043d\u043d\u0435 \u043a\u0430\u043c\u043f\u2019\u044e\u0442\u0430\u0440\u043d\u0430-\u043b\u0456\u043d\u0433\u0432\u0456\u0441\u0442\u044b\u0447\u043d\u044b\u0445 \u0440\u044d\u0441\u0443\u0440\u0441\u0430\u045e \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u044b corpus.by \u043f\u0440\u044b \u043f\u0435\u0440\u0430\u043a\u043b\u0430\u0434\u0437\u0435 \u041a\u043e\u0434\u044d\u043a\u0441\u0430 \u0430\u0431 \u0448\u043b\u044e\u0431\u0443 \u0456 \u0441\u044f\u043c\u2019\u0456<\/a> \/ \u041d.\u0414. \u041a\u0430\u0437\u043b\u043e\u045e\u0441\u043a\u0430\u044f, \u0413.\u0420. \u0421\u0442\u0430\u043d\u0456\u0441\u043b\u0430\u0432\u0435\u043d\u043a\u0430, \u0410.\u0412. \u041a\u0440\u044b\u0432\u0430\u043b\u044c\u0446\u044d\u0432\u0456\u0447, \u041c.\u0423. \u041c\u0430\u0440\u0447\u044b\u043a, \u0410.\u0423. \u0411\u0430\u0431\u043a\u043e\u045e, \u0406.\u0412. \u0420\u044d\u0435\u043d\u0442\u043e\u0432\u0456\u0447, \u042e.\u0421. \u0413\u0435\u0446\u044d\u0432\u0456\u0447 \/\/ \u041c\u0435\u0436\u043a\u0443\u043b\u044c\u0442\u0443\u0440\u043d\u0430\u044f \u043a\u043e\u043c\u043c\u0443\u043d\u0438\u043a\u0430\u0446\u0438\u044f \u0438 \u043f\u0440\u043e\u0431\u043b\u0435\u043c\u044b \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0438\u043d\u043e\u0441\u0442\u0440\u0430\u043d\u043d\u043e\u043c\u0443 \u044f\u0437\u044b\u043a\u0443 \u0438 \u043f\u0435\u0440\u0435\u0432\u043e\u0434\u0443 : \u0441\u0431. \u043d\u0430\u0443\u0447. \u0441\u0442. \/ \u0440\u0435\u0434\u043a\u043e\u043b. : \u041c.\u0413. \u0411\u043e\u0433\u043e\u0432\u0430 (\u043e\u0442\u0432. \u0440\u0435\u0434), \u0422.\u0412. \u0411\u0443\u0441\u0435\u043b, \u041d.\u041f. \u0413\u0440\u0438\u0446\u043a\u0435\u0432\u0438\u0447 [\u0438 \u0434\u0440.]. \u2014 \u041c\u0438\u043d\u0441\u043a : \u0420\u0418\u0412\u0428, 2017. \u2014 C. 137-142.<\/li>\n<li>\u041e\u043a\u0440\u0443\u0442, \u0422.\u0406. <a href=\"https:\/\/ssrlab.by\/en\/3495\">\u0412\u044b\u0440\u0430\u0448\u044d\u043d\u043d\u0435 \u043f\u0440\u0430\u0431\u043b\u0435\u043c\u044b \u0430\u043c\u0430\u0433\u0440\u0430\u0444\u0456\u0456 \u0437 \u0434\u0430\u043f\u0430\u043c\u043e\u0433\u0430\u0439 NOOJ \u0434\u043b\u044f \u0431\u043e\u043b\u044c\u0448 \u0447\u044b\u043c 50 \u0430\u043c\u043e\u0433\u0440\u0430\u0444\u0430\u045e \u0440\u0443\u0441\u043a\u0430\u0439 \u043c\u043e\u0432\u044b<\/a> \/ \u0422.\u0406. \u041e\u043a\u0440\u0443\u0442, \u0414.\u0410. \u041f\u0430\u043a\u043b\u0430\u0434\u043e\u043a, \u042e.\u0421. \u0413\u0435\u0446\u044d\u0432\u0456\u0447, \u0411.\u041c. \u041b\u0430\u0431\u0430\u043d\u0430\u045e \/\/ \u041a\u043e\u043d\u0442\u0440\u0430\u0441\u0442\u0438\u0432\u043d\u044b\u0435 \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u044f \u0438 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u043d\u0430\u044f \u043b\u0438\u043d\u0433\u0432\u0438\u0441\u0442\u0438\u043a\u0430 : \u043c\u0430\u0442\u0435\u0440\u0438\u0430\u043b\u044b \u041c\u0435\u0436\u0434\u0443\u043d\u0430\u0440. \u043d\u0430\u0443\u0447. \u043a\u043e\u043d\u0444., \u041c\u0438\u043d\u0441\u043a, 29-30 \u043e\u043a\u0442. 2014 \u0433. \u0412 2 \u0447. \u0427.2 \/ \u043e\u0442\u0432. \u0440\u0435\u0434.: \u0410.\u0412. \u0417\u0443\u0431\u043e\u0432, \u0422.\u041f. \u041a\u0430\u0440\u043f\u0438\u043b\u043e\u0432\u0438\u0447. \u2013 \u041c\u0438\u043d\u0441\u043a : \u041c\u0413\u041b\u0423, 2015. \u2014 P. 79-83.<\/li>\n<li>Okrut, T. <a href=\"https:\/\/ssrlab.by\/en\/3476\">Context-Sensitive Homograph Disambiguation with NooJ in Belarusian and Russian Electronic Texts<\/a> \/ T. Okrut, B. Lobanov, Y. Yakubovich \/\/ International Scientific Conference on the Automatic Processing of Natural-Language Electronic Texts \u201cNooJ\u20192015\u2033 \/ ed. B.M. Lobanov, Yu.S.Hetsevich. \u2014 Minsk : UIIP NASB, 2015. \u2014 P. 48.<\/li>\n<li>\u0421\u0442\u0430\u043d\u0456\u0441\u043b\u0430\u0432\u0435\u043d\u043a\u0430, \u0413.\u0420. <a href=\"https:\/\/ssrlab.by\/en\/4416\">\u0420\u044d\u0434\u0430\u0433\u0430\u0432\u0430\u043d\u043d\u0435 \u044d\u043b\u0435\u043a\u0442\u0440\u043e\u043d\u043d\u044b\u0445 \u043c\u0430\u0441\u0456\u0432\u0430\u045e \u0442\u044d\u043a\u0441\u0442\u0430\u045e \u043d\u0430 \u0431\u0435\u043b\u0430\u0440\u0443\u0441\u043a\u0430\u0439 \u043c\u043e\u0432\u0435 \u0437 \u0432\u044b\u043a\u0430\u0440\u044b\u0441\u0442\u0430\u043d\u043d\u0435\u043c \u043a\u0430\u043c\u043f\u2019\u044e\u0442\u0430\u0440\u043d\u0430-\u043b\u0456\u043d\u0433\u0432\u0456\u0441\u0442\u044b\u0447\u043d\u044b\u0445 \u0441\u044d\u0440\u0432\u0456\u0441\u0430\u045e \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u044b www.corpus.by<\/a> \/ \u0413.\u0420. \u0421\u0442\u0430\u043d\u0456\u0441\u043b\u0430\u0432\u0435\u043d\u043a\u0430, \u0421.\u0406. \u041b\u044b\u0441\u044b, \u042e.\u0421. \u0413\u0435\u0446\u044d\u0432\u0456\u0447 \/\/ \u041a\u0430\u0440\u043f\u043e\u0432\u0441\u043a\u0438\u0435 \u043d\u0430\u0443\u0447\u043d\u044b\u0435 \u0447\u0442\u0435\u043d\u0438\u044f \/ \u0411\u0413\u0423 ; \u043f\u043e\u0434 \u0440\u0435\u0434. \u0410.\u0418. \u0413\u043e\u043b\u043e\u0432\u043d\u044f [\u0438 \u0434\u0440.]. \u2014 \u041c\u0438\u043d\u0441\u043a : \u0418\u0412\u0426 \u041c\u0438\u043d\u0444\u0438\u043d\u0430, 2016. \u2014 C. 262-267.<\/li>\n<li>\u041c\u0430\u0440\u0447\u044b\u043a, \u041c.\u0423. <a href=\"https:\/\/ssrlab.by\/en\/6052\">\u0412\u044b\u0447\u044b\u0442\u043a\u0430 \u0456 \u0433\u0435\u043d\u0435\u0440\u0430\u0446\u044b\u044f \u0442\u044d\u043a\u0441\u0442\u0430\u045e \u0432\u044f\u043b\u0456\u043a\u0430\u0433\u0430 \u043f\u0430\u043c\u0435\u0440\u0443 \u043d\u0430 \u0431\u0435\u043b\u0430\u0440\u0443\u0441\u043a\u0430\u0439 \u043c\u043e\u0432\u0435<\/a> \/ \u041c.\u0423. \u041c\u0430\u0440\u0447\u044b\u043a, \u0413.\u0420. \u0421\u0442\u0430\u043d\u0456\u0441\u043b\u0430\u0432\u0435\u043d\u043a\u0430, \u0421.\u0406. \u041b\u044b\u0441\u044b, \u042e.\u0421. \u0413\u0435\u0446\u044d\u0432\u0456\u0447 \/\/ \u0420\u0430\u0437\u0432\u0438\u0442\u0438\u0435 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0442\u0438\u0437\u0430\u0446\u0438\u0438 \u0438 \u0433\u043e\u0441\u0443\u0434\u0430\u0440\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0439 \u0441\u0438\u0441\u0442\u0435\u043c\u044b \u043d\u0430\u0443\u0447\u043d\u043e-\u0442\u0435\u0445\u043d\u0438\u0447\u0435\u0441\u043a\u043e\u0439 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438 (\u0420\u0418\u041d\u0422\u0418-2017) : \u0434\u043e\u043a\u043b\u0430\u0434\u044b XVI \u041c\u0435\u0436\u0434\u0443\u043d\u0430\u0440\u043e\u0434\u043d\u043e\u0439 \u043a\u043e\u043d\u0444\u0435\u0440\u0435\u043d\u0446\u0438\u0438, \u041c\u0438\u043d\u0441\u043a, 16 \u043d\u043e\u044f\u0431\u0440\u044f 2017 \u0433. \/ \u041e\u0418\u041f\u0418 \u041d\u0410\u041d \u0411\u0435\u043b\u0430\u0440\u0443\u0441\u0438 ; \u043f\u043e\u0434 \u043d\u0430\u0443\u0447. \u0440\u0435\u0434. \u0410.\u0412. \u0422\u0443\u0437\u0438\u043a\u043e\u0432, \u0420.\u0411. \u0413\u0440\u0438\u0433\u044f\u043d\u0435\u0446, \u0412.\u041d. \u0412\u0435\u043d\u0433\u0435\u0440\u043e\u0432. \u2014 \u041c\u0438\u043d\u0441\u043a : \u041e\u0418\u041f\u0418 \u041d\u0410\u041d \u0411\u0435\u043b\u0430\u0440\u0443\u0441\u0438, 2017. \u2014 C. 305-310.<\/li>\n<\/ol>\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>Homograph Identifier&#8221;> \u041c\u0430\u043b\u044e\u043d\u0430\u043a 1 \u2013 \u0413\u0440\u0430\u0444\u0456\u0447\u043d\u044b \u0456\u043d\u0442\u044d\u0440\u0444\u0435\u0439\u0441 \u0441\u044d\u0440\u0432\u0456\u0441 \u00ab\u0406\u0434\u044d\u043d\u0442\u044b\u0444\u0456\u043a\u0430\u0442\u0430\u0440 \u0430\u043c\u043e\u0433\u0440\u0430\u0444\u0430\u045e\u00bb \u0406\u043d\u0442\u044d\u0440\u0444\u0435\u0439\u0441 \u0437\u043c\u044f\u0448\u0447\u0430\u0435 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u044b\u044f \u0432\u043e\u0431\u043b\u0430\u0441\u0446\u0456: \u043f\u043e\u043b\u0435 \u045e\u0432\u043e\u0434\u0443 \u044d\u043b\u0435\u043a\u0442\u0440\u043e\u043d\u043d\u0430\u0433\u0430 \u0442\u044d\u043a\u0441\u0442\u0443; \u043f\u043e\u043b\u0435 \u0432\u044b\u0431\u0430\u0440\u0443 \u0441\u043b\u043e\u045e\u043d\u0456\u043a\u0430\u045e; \u043a\u043d\u043e\u043f\u043a\u0430 \u00ab\u0428\u0443\u043a\u0430\u0446\u044c \u0430\u043c\u043e\u0433\u0440\u0430\u0444\u044b!\u00bb, \u044f\u043a\u0430\u044f \u0437\u0430\u043f\u0443\u0441\u043a\u0430\u0435 \u0430\u043f\u0440\u0430\u0446\u043e\u045e\u043a\u0443; \u043f\u043e\u043b\u0435 \u0432\u044b\u0432\u0430\u0434\u0443 \u0432\u044b\u043d\u0456\u043a\u0430\u045e, \u044f\u043a\u043e\u0435 \u0437\u2019\u044f\u045e\u043b\u044f\u0435\u0446\u0446\u0430 \u043f\u0430\u0441\u043b\u044f \u0430\u043f\u0440\u0430\u0446\u043e\u045e\u043a\u0456 \u0456 \u043c\u0430\u0435 \u0432\u044b\u0433\u043b\u044f\u0434 \u0442\u0430\u0431\u043b\u0456\u0446\u044b. \u0423 \u043f\u043e\u043b\u0456 \u0432\u044b\u0432\u0430\u0434\u0443 \u0432\u044b\u043d\u0456\u043a\u0430\u045e \u0432\u044b\u0432\u043e\u0434\u0437\u044f\u0446\u0446\u0430 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u044b\u044f \u0434\u0430\u0434\u0437\u0435\u043d\u044b\u044f: \u0441\u043b\u043e\u0432\u0430-\u0430\u043c\u043e\u0433\u0440\u0430\u0444; \u0432\u0430\u0440\u044b\u044f\u043d\u0442\u044b \u043d\u0430\u0446\u0456\u0441\u043a\u0443 \u045e \u0441\u043b\u043e\u0432\u0430\u0445-\u0430\u043c\u043e\u0433\u0440\u0430\u0444\u0430\u0445; \u0442\u044b\u043f \u0430\u043c\u043e\u0433\u0440\u0430\u0444\u0430 (\u0447\u0430\u0441\u0446\u0456\u043d\u0430\u043c\u043e\u045e\u043d\u0430\u0435 \u0432\u044b\u0437\u043d\u0430\u0447\u044d\u043d\u043d\u0435); \u043a\u043e\u043b\u044c\u043a\u0456 [&hellip;]<\/p>\n<a class = \"excerpt\" href=\"https:\/\/ssrlab.by\/en\/4218\">Read more...<\/a>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[5,292],"tags":[],"_links":{"self":[{"href":"https:\/\/ssrlab.by\/en\/wp-json\/wp\/v2\/posts\/4218"}],"collection":[{"href":"https:\/\/ssrlab.by\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ssrlab.by\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ssrlab.by\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ssrlab.by\/en\/wp-json\/wp\/v2\/comments?post=4218"}],"version-history":[{"count":36,"href":"https:\/\/ssrlab.by\/en\/wp-json\/wp\/v2\/posts\/4218\/revisions"}],"predecessor-version":[{"id":8717,"href":"https:\/\/ssrlab.by\/en\/wp-json\/wp\/v2\/posts\/4218\/revisions\/8717"}],"wp:attachment":[{"href":"https:\/\/ssrlab.by\/en\/wp-json\/wp\/v2\/media?parent=4218"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ssrlab.by\/en\/wp-json\/wp\/v2\/categories?post=4218"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ssrlab.by\/en\/wp-json\/wp\/v2\/tags?post=4218"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}