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Частотный словарь сочетаемости глаголов в системе КЛИОС

Bibliographic Details
Title: Частотный словарь сочетаемости глаголов в системе КЛИОС
Publisher Information: 2016.
Publication Year: 2016
Subject Terms: глаголы, 4. Education, обучение, русский язык, компьютерные словари, КЛИОС, частотные словари, словосочетания, анализаторы, синтаксический анализ
Description: The abstract deals with a frequency dictionary of collocations which was created for the intelligent tutoring system KLIOS. This dictionary contains collocations of words with frequency value of using in Russian speach. The author starts by telling about functionality and structure of the KLIOS system and also indicates dictionary importance in the system. Then abstract describes in detail dictionary structure and the method of dictionary creating. According to the author this dictionary helps to solve many problems connected with texts parsing, students answer checking and generation of training exercises. In conclusion author adduces dictionary disadvantages that were identified in the process of expluatation and proposes ways of their solution.
Document Type: Conference object
Language: Russian
Access URL: http://earchive.tpu.ru/handle/11683/25759
Accession Number: edsair.od......3626..77da5bbe5ca6546d46727e9d8c843a23
Database: OpenAIRE
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  Label: Title
  Group: Ti
  Data: Частотный словарь сочетаемости глаголов в системе КЛИОС
– Name: Publisher
  Label: Publisher Information
  Group: PubInfo
  Data: 2016.
– Name: DatePubCY
  Label: Publication Year
  Group: Date
  Data: 2016
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22глаголы%22">глаголы</searchLink><br /><searchLink fieldCode="DE" term="%224%2E+Education%22">4. Education</searchLink><br /><searchLink fieldCode="DE" term="%22обучение%22">обучение</searchLink><br /><searchLink fieldCode="DE" term="%22русский+язык%22">русский язык</searchLink><br /><searchLink fieldCode="DE" term="%22компьютерные+словари%22">компьютерные словари</searchLink><br /><searchLink fieldCode="DE" term="%22КЛИОС%22">КЛИОС</searchLink><br /><searchLink fieldCode="DE" term="%22частотные+словари%22">частотные словари</searchLink><br /><searchLink fieldCode="DE" term="%22словосочетания%22">словосочетания</searchLink><br /><searchLink fieldCode="DE" term="%22анализаторы%22">анализаторы</searchLink><br /><searchLink fieldCode="DE" term="%22синтаксический+анализ%22">синтаксический анализ</searchLink>
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  Label: Description
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  Data: The abstract deals with a frequency dictionary of collocations which was created for the intelligent tutoring system KLIOS. This dictionary contains collocations of words with frequency value of using in Russian speach. The author starts by telling about functionality and structure of the KLIOS system and also indicates dictionary importance in the system. Then abstract describes in detail dictionary structure and the method of dictionary creating. According to the author this dictionary helps to solve many problems connected with texts parsing, students answer checking and generation of training exercises. In conclusion author adduces dictionary disadvantages that were identified in the process of expluatation and proposes ways of their solution.
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  Data: Russian
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RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: Russian
    Subjects:
      – SubjectFull: глаголы
        Type: general
      – SubjectFull: 4. Education
        Type: general
      – SubjectFull: обучение
        Type: general
      – SubjectFull: русский язык
        Type: general
      – SubjectFull: компьютерные словари
        Type: general
      – SubjectFull: КЛИОС
        Type: general
      – SubjectFull: частотные словари
        Type: general
      – SubjectFull: словосочетания
        Type: general
      – SubjectFull: анализаторы
        Type: general
      – SubjectFull: синтаксический анализ
        Type: general
    Titles:
      – TitleFull: Частотный словарь сочетаемости глаголов в системе КЛИОС
        Type: main
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          Dates:
            – D: 15
              M: 06
              Type: published
              Y: 2016
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