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  <title>ЭБ Коллекция:</title>
  <link rel="alternate" href="https://elib.bsu.by:443/handle/123456789/159720" />
  <subtitle />
  <id>https://elib.bsu.by:443/handle/123456789/159720</id>
  <updated>2026-04-21T13:14:17Z</updated>
  <dc:date>2026-04-21T13:14:17Z</dc:date>
  <entry>
    <title>Robust multilingual document identification</title>
    <link rel="alternate" href="https://elib.bsu.by:443/handle/123456789/160177" />
    <author>
      <name>Stefanovitch, N.</name>
    </author>
    <id>https://elib.bsu.by:443/handle/123456789/160177</id>
    <updated>2023-09-21T13:10:34Z</updated>
    <published>2016-10-25T00:00:00Z</published>
    <summary type="text">Заглавие документа: Robust multilingual document identification
Авторы: Stefanovitch, N.
Аннотация: We consider in this paper the problem of detection the language of document&#xD;
when no assumptions are made about a document: it can be of any size and contain zero,&#xD;
one or several languages. Language identification is considered a solved task, but&#xD;
actually, among others shortcomings, does not deal with the case of accurately the&#xD;
presence or absence of several languages in arbitrary documents. In order to tackle&#xD;
these problems, we propose an approach based on word dictionaries using Bayesian&#xD;
statistics and ad-hoc features. We show on two datasets that with sufficient statistics&#xD;
our approach is able to give very satisfying results in dealing with both unsolved tasks:&#xD;
detection of documents with no languages and identification of languages in multilingual&#xD;
documents.</summary>
    <dc:date>2016-10-25T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Computer-based system of analysis and interpretation of speech intonation</title>
    <link rel="alternate" href="https://elib.bsu.by:443/handle/123456789/160174" />
    <author>
      <name>Lobanov, B. M.</name>
    </author>
    <author>
      <name>Zhitko, V. A.</name>
    </author>
    <author>
      <name>Zdaranok, Y. A.</name>
    </author>
    <id>https://elib.bsu.by:443/handle/123456789/160174</id>
    <updated>2023-09-21T13:10:34Z</updated>
    <published>2016-10-25T00:00:00Z</published>
    <summary type="text">Заглавие документа: Computer-based system of analysis and interpretation of speech intonation
Авторы: Lobanov, B. M.; Zhitko, V. A.; Zdaranok, Y. A.
Аннотация: In this paper we describe the importance of intonation in human comprehension&#xD;
of speech and in creation of computer-based systems for analysis, synthesis and understanding&#xD;
of speech signals. We lay out fundamental principles of intonational theory of&#xD;
speech that is based on the concept of universal melodic portraits. In addition, we describe&#xD;
the main algorithms of analysis and interpretation of intonation in an utterance&#xD;
that underlie the developed computer-based system for teaching of speech intonation.&#xD;
We further show the system’s output and discuss its usefulness in teaching foreign&#xD;
language intonation.</summary>
    <dc:date>2016-10-25T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Canonization of natural language by means of universal semantic code</title>
    <link rel="alternate" href="https://elib.bsu.by:443/handle/123456789/160172" />
    <author>
      <name>Boyko, I.</name>
    </author>
    <id>https://elib.bsu.by:443/handle/123456789/160172</id>
    <updated>2023-09-21T13:10:34Z</updated>
    <published>2016-10-25T00:00:00Z</published>
    <summary type="text">Заглавие документа: Canonization of natural language by means of universal semantic code
Авторы: Boyko, I.
Аннотация: The article is about canonization of a natural language for representing knowledge&#xD;
in the reasoning computer systems. Reasoning is a very difficult problem and the&#xD;
most important component of artificial intelligence systems. Universal Semantic&#xD;
Coode (USC) is used as a tool of canonization for knowledge representation and reasoning.&#xD;
There is no alternative yet in this kind of development and it is demonstrated in&#xD;
the article.</summary>
    <dc:date>2016-10-25T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Автоматическое распознавание аспектных терминов в пользовательских сообщениях на английском языке</title>
    <link rel="alternate" href="https://elib.bsu.by:443/handle/123456789/160169" />
    <author>
      <name>Чернышевич, М. В.</name>
    </author>
    <id>https://elib.bsu.by:443/handle/123456789/160169</id>
    <updated>2023-09-21T13:10:35Z</updated>
    <published>2016-10-25T00:00:00Z</published>
    <summary type="text">Заглавие документа: Автоматическое распознавание аспектных терминов в пользовательских сообщениях на английском языке
Авторы: Чернышевич, М. В.
Аннотация: Описан подход к автоматическому распознаванию характеристик товаров и услуг в пользовательских сообщениях на английском языке. Предложенный подход базируется на лингвистическом анализе текста и последующем обучении CRF-модели на ряде лексических, синтаксических и статистических признаков. Разработана прототипная система, которая показала хороший результат при тестировании на текстах различной предметной области.</summary>
    <dc:date>2016-10-25T00:00:00Z</dc:date>
  </entry>
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