{"id":2411,"date":"2014-11-18T11:19:56","date_gmt":"2014-11-18T08:19:56","guid":{"rendered":"http:\/\/ssrlab.by\/?p=2411"},"modified":"2018-11-21T14:20:51","modified_gmt":"2018-11-21T11:20:51","slug":"dvuhmounaya-pytalna-adkaznaya-dyyalog","status":"publish","type":"post","link":"https:\/\/ssrlab.by\/en\/2411","title":{"rendered":"Bilingual question-answering dialogue system"},"content":{"rendered":"<p><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 14px;\">The structure of an experimental system of natural language interfaces is shown in\u00a0the figure below. This system receives voice questions in Belarusian or Russian, processes them into a text. On its\u00a0basis text, a message is generated. Then it is synthesized into a speech. <\/span><\/p>\n<p style=\"text-align: center;\"><a href=\"http:\/\/ssrlab.by\/wp-content\/uploads\/2014\/11\/BILINGUAL-QUESTION-ANSWERING-DIALOGUE-SYSTEM-FOR-BELARUSIAN-AND-RUSSIAN.png\" class=\"grouped_elements\" rel=\"tc-fancybox-group2411\" title=\"Bilingual question-answering dialogue system\"><img loading=\"lazy\" class=\"aligncenter size-full wp-image-4718\" src=\"http:\/\/ssrlab.by\/wp-content\/uploads\/2014\/11\/BILINGUAL-QUESTION-ANSWERING-DIALOGUE-SYSTEM-FOR-BELARUSIAN-AND-RUSSIAN.png\" alt=\"bilingual-question-answering-dialogue-system-for-belarusian-and-russian\" width=\"991\" height=\"350\" srcset=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2014\/11\/BILINGUAL-QUESTION-ANSWERING-DIALOGUE-SYSTEM-FOR-BELARUSIAN-AND-RUSSIAN.png 991w, https:\/\/ssrlab.by\/wp-content\/uploads\/2014\/11\/BILINGUAL-QUESTION-ANSWERING-DIALOGUE-SYSTEM-FOR-BELARUSIAN-AND-RUSSIAN-300x106.png 300w, https:\/\/ssrlab.by\/wp-content\/uploads\/2014\/11\/BILINGUAL-QUESTION-ANSWERING-DIALOGUE-SYSTEM-FOR-BELARUSIAN-AND-RUSSIAN-768x271.png 768w\" sizes=\"(max-width: 991px) 100vw, 991px\" \/><\/a> <strong>Figure 1.<\/strong> Functional layout of QA dialogue system for Belarusian and Russian<\/p>\n<p><span style=\"font-size: 14px;\"><br \/>\nThe experimental model of the system was developed for the topic \u2018geometry\u2019.<br \/>\nExamples of the user questions and text answers that were generated:<\/span><\/p>\n<ol>\n<li><span style=\"font-size: 14px;\"><em>In Belarusian<\/em><\/span><\/li>\n<\/ol>\n<p><span style=\"font-size: 14px;\"><strong><em>Question<\/em><\/strong>: What are synonyms of the notion square? <\/span><\/p>\n<p><span style=\"font-size: 14px;\"><strong><em>Answer<\/em><\/strong>: Synonyms of the notion square are: equilateral rectangle, right-angled rhomb. <\/span><\/p>\n<ol>\n<li value=\"2\"><span style=\"font-size: 14px;\"><em>In Russian<\/em><\/span><\/li>\n<\/ol>\n<p><span style=\"font-size: 14px;\"><strong><em>Question<\/em><\/strong>: What are synonyms of the notion square?<\/span><\/p>\n<p><span style=\"font-size: 14px;\"><strong><em>Answer<\/em><\/strong>: Synonyms of the notion square are: equilateral rectangle,<\/span><\/p>\n<p>right-angled rhomb.<\/p>\n<p style=\"text-align: justify;\">With the help of developed electronic grammar dictionary for Belarusian and Russian in the text-to-speech synthesizer the process machine searches for synonyms and word forms for every word in the question text. A text answer is generated on the basis of the expanded text inquiry and word combinations of the geometrical domain (figures \u0411.2, \u0411.3).\u00a0Thus, the developed bilingual dialogue system creates an opportunity for the user\u00a0not only to enter the question and read the answer from the screen but also makes oral questions and gets the answers in the proper language.<\/p>\n<p style=\"text-align: center;\"><img loading=\"lazy\" class=\"size-large wp-image-2414 wp-caption aligncenter\" title=\"\" src=\"http:\/\/ssrlab.by\/wp-content\/uploads\/2014\/11\/2-1024x797.jpg\" alt=\"2\" width=\"1024\" height=\"797\" srcset=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2014\/11\/2-1024x797.jpg 1024w, https:\/\/ssrlab.by\/wp-content\/uploads\/2014\/11\/2-300x233.jpg 300w, https:\/\/ssrlab.by\/wp-content\/uploads\/2014\/11\/2.jpg 1114w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/> <strong>Figure 2.<\/strong> Interface of the QA dialogue system for Belarusian in the mode of synthesizing answer message into a speech.<\/p>\n<p style=\"text-align: center;\"><img loading=\"lazy\" class=\"size-large wp-image-2418 wp-caption aligncenter\" title=\"\" src=\"http:\/\/ssrlab.by\/wp-content\/uploads\/2014\/11\/3-1024x766.jpg\" alt=\"3\" width=\"1024\" height=\"766\" srcset=\"https:\/\/ssrlab.by\/wp-content\/uploads\/2014\/11\/3-1024x766.jpg 1024w, https:\/\/ssrlab.by\/wp-content\/uploads\/2014\/11\/3-300x224.jpg 300w, https:\/\/ssrlab.by\/wp-content\/uploads\/2014\/11\/3.jpg 1106w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/> <strong>Figure 3.<\/strong> Interface of the QA dialogue system for Russian in the mode of synthesizing answer message into a speech.<\/p>\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>The structure of an experimental system of natural language interfaces is shown in\u00a0the figure below. This system receives voice questions in Belarusian or Russian, processes them into a text. On its\u00a0basis text, a message is generated. Then it is synthesized into a speech. Figure 1. Functional layout of QA dialogue system for Belarusian and Russian [&hellip;]<\/p>\n<a class = \"excerpt\" href=\"https:\/\/ssrlab.by\/en\/2411\">Read more...<\/a>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[5,290,329],"tags":[],"_links":{"self":[{"href":"https:\/\/ssrlab.by\/en\/wp-json\/wp\/v2\/posts\/2411"}],"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=2411"}],"version-history":[{"count":18,"href":"https:\/\/ssrlab.by\/en\/wp-json\/wp\/v2\/posts\/2411\/revisions"}],"predecessor-version":[{"id":4721,"href":"https:\/\/ssrlab.by\/en\/wp-json\/wp\/v2\/posts\/2411\/revisions\/4721"}],"wp:attachment":[{"href":"https:\/\/ssrlab.by\/en\/wp-json\/wp\/v2\/media?parent=2411"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ssrlab.by\/en\/wp-json\/wp\/v2\/categories?post=2411"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ssrlab.by\/en\/wp-json\/wp\/v2\/tags?post=2411"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}