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Large Corpora for Turkic Languages and Unsupervised Morphological Analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F12%3A00059944" target="_blank" >RIV/00216224:14330/12:00059944 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Large Corpora for Turkic Languages and Unsupervised Morphological Analysis

  • Original language description

    In this article we describe six new web corpora for Turkish, Azerbaijani, Kazakh, Turkmen, Kyrgyz and Uzbek languages. The data for these corpora was automatically crawled from the web by SpiderLing. Only minimal knowledge of these languages was requiredto obtain the data in raw form. Corpora are tokenized only since morphological analyzers and disambiguators for these languages are not available (except for Turkish). Subsequent experiment with unsupervised morphological segmentation was carried out onthe Turkish corpus. In this experiment we achieved encouraging results. We used data provided for MorphoChallenge competition for the purpose of evaluation.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    AI - Linguistics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/LM2010013" target="_blank" >LM2010013: LINDAT-CLARIN: Institute for analysis, processing and distribution of linguistic data</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2012

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)

  • ISBN

    9782951740877

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    28-32

  • Publisher name

    European Language Resources Association (ELRA)

  • Place of publication

    Istanbul, Turkey

  • Event location

    Istanbul

  • Event date

    Jan 1, 2012

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article