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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-Czech dictionary. 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.
  • 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-Czech dictionary. 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. (en)
Title
  • Corpus-based Disambiguation for Machine Translation
  • Corpus-based Disambiguation for Machine Translation (en)
skos:prefLabel
  • Corpus-based Disambiguation for Machine Translation
  • Corpus-based Disambiguation for Machine Translation (en)
skos:notation
  • RIV/00216224:14330/11:00054035!RIV12-MSM-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(LC536), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 192037
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/11:00054035
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • word sense disambiguation machine translation word sketch collocations (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [D5F7544D9C97]
http://linked.open...v/mistoKonaniAkce
  • Karlova studánka
http://linked.open...i/riv/mistoVydani
  • Brno
http://linked.open...i/riv/nazevZdroje
  • Recent Advances in Slavonic Natural Language Processing
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Baisa, Vít
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Tribun EU
https://schema.org/isbn
  • 978-80-263-0077-9
http://localhost/t...ganizacniJednotka
  • 14330
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