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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">intechngu</journal-id><journal-title-group><journal-title xml:lang="ru">Вестник НГУ. Серия: Информационные технологии</journal-title><trans-title-group xml:lang="en"><trans-title>Vestnik NSU. Series: Information Technologies</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1818-7900</issn><issn pub-type="epub">2410-0420</issn><publisher><publisher-name>НГУ</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.25205/1818-7900-2020-18-1-74-82</article-id><article-id custom-type="elpub" pub-id-type="custom">intechngu-123</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>Статьи</subject></subj-group></article-categories><title-group><article-title>Автоматическая обработка текстов на основе платформы TXM с учетом анализа структурных единиц текста</article-title><trans-title-group xml:lang="en"><trans-title>Embedding Additional Natural Language Processing Tools into the TXM Platform</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Соловьев</surname><given-names>Ф. Н.</given-names></name><name name-style="western" xml:lang="en"><surname>Soloviev</surname><given-names>F. N.</given-names></name></name-alternatives><email xlink:type="simple">the0@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Федеральный исследовательский центр «Информатика и управление» РАН</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Federal Research Center “Informatics and Management”</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2020</year></pub-date><pub-date pub-type="epub"><day>11</day><month>11</month><year>2020</year></pub-date><volume>18</volume><issue>1</issue><fpage>74</fpage><lpage>82</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Соловьев Ф.Н., 2020</copyright-statement><copyright-year>2020</copyright-year><copyright-holder xml:lang="ru">Соловьев Ф.Н.</copyright-holder><copyright-holder xml:lang="en">Soloviev F.N.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://intechngu.elpub.ru/jour/article/view/123">https://intechngu.elpub.ru/jour/article/view/123</self-uri><abstract><p>В настоящей работе мы приводим описание интеграции средств автоматической обработки текста (выделение псевдооснов, именных групп, анализ глагольного управления) для расширения аналитических возможностей платформы корпусного анализа TXM. Представленные средства объединены в единый программный комплекс, что позволяет эффективно осуществлять подготовку специальных корпусов для последующего анализа средствами платформы TXM.</p></abstract><trans-abstract xml:lang="en"><p>In our work we present a description of integration of natural language processing tools (pseudostem extraction, noun phrase extraction, verb government analysis) in order to extend analytic facilities of the TXM corpora analysis platform. The tools introduced in the paper are combined into a single software package providing TXM platform with an effective specialized corpora preparation tool for further analysis.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>автоматический анализ текстов</kwd><kwd>платформа TXM</kwd><kwd>псевдоосновы</kwd><kwd>именные группы</kwd><kwd>глагольное управление</kwd></kwd-group><kwd-group xml:lang="en"><kwd>natural language processing</kwd><kwd>TXM platform</kwd><kwd>pseudostems</kwd><kwd>noun phrases</kwd><kwd>verb government</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
