NorthEuraLex: a wide-coverage lexical database of Northern Eurasia.

This article describes the first release version of a new lexicostatistical database of Northern Eurasia, which includes Europe as the most well-researched linguistic area. Unlike in other areas of the world, where databases are restricted to covering a small number of concepts as far as possible ba...

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Publicado en:Language Resources & Evaluation Vol. 54; no. 1; pp. 273 - 302
Autores principales: Dellert, Johannes, Daneyko, Thora, Münch, Alla, Ladygina, Alina, Buch, Armin, Clarius, Natalie, Grigorjew, Ilja, Balabel, Mohamed, Boga, Hizniye Isabella, Baysarova, Zalina, Mühlenbernd, Roland, Wahle, Johannes, Jäger, Gerhard
Formato: Artículo
Publicado: Springer Nature Mar2020
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        10.1007/s10579-019-09480-6
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          Dellert, Johannes
          Daneyko, Thora
          Münch, Alla
          Ladygina, Alina
          Buch, Armin
          Clarius, Natalie
          Grigorjew, Ilja
          Balabel, Mohamed
          Boga, Hizniye Isabella
          Baysarova, Zalina
          Mühlenbernd, Roland
          Wahle, Johannes
          Jäger, Gerhard
        affil: Seminar für Sprachwissenschaft, Universität Tübingen, Wilhelmstraße 19, 72074, Tübingen, Germany
      su:
        Number concept
        Databases
        Turkic languages
        Indo-European languages
        Test methods
        Eurasia
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        subj:
          Eurasia
          Number concept
          Databases
          Turkic languages
          Indo-European languages
          Test methods
      keyword:
        Caucasian languages
        Lexical database
        Northern Eurasia
        Siberian languages
        Uralic languages
      ab: This article describes the first release version of a new lexicostatistical database of Northern Eurasia, which includes Europe as the most well-researched linguistic area. Unlike in other areas of the world, where databases are restricted to covering a small number of concepts as far as possible based on often sparse documentation, good lexical resources providing wide coverage of the lexicon are available even for many smaller languages in our target area. This makes it possible to attain near-completeness for a substantial number of concepts. The resulting database provides a basis for rich benchmarks that can be used to test automated methods which aim to derive new knowledge about language history in underresearched areas.
      pubtype: Academic Journal
      doctype: Article
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    language: English
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