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Corpus-based Disambiguation for Machine Translation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F11%3A00054035" target="_blank" >RIV/00216224:14330/11:00054035 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Corpus-based Disambiguation for Machine Translation

  • Original language description

    This paper deals with problem of choosing a proper translation for polysemous words. We describe an original method for partial word sense disambiguation of such words using word sketches extracted from large-scale corpora and using simple English-Czechdictionary. Each word is translated from English to Czech and a word sketch for the word is compared with all word sketches of its appropriate Czech equivalents. These comparisons serve for choosing a proper translation of the word: given a context containing one of collocates from the English word sketch, result data can serve directly in the process of machine translation of the English word and at the same time it can be considered as a partial disambiguation of that word. Moreover, the results may be used for clustering word sketches according to distinct meanings of their headwords.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/LC536" target="_blank" >LC536: Integrated center for natural language processing</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

    2011

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Recent Advances in Slavonic Natural Language Processing

  • ISBN

    978-80-263-0077-9

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    81-87

  • Publisher name

    Tribun EU

  • Place of publication

    Brno

  • Event location

    Karlova studánka

  • Event date

    Jan 1, 2011

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article