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2008 | Vol. 34, no 4 | 41-45
Tytuł artykułu

Collecting Polish-German parallel corpora in the Web

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EN
Abstrakty
EN
Parallel corpus has recently become an indispensable resource in multilingual natural language processing. Manual preparation of a bilingual corpus is a laborious task. Therefore methods for the automated creation of parallel corpus are currently a topic of concern for many researchers. A number of sophisticated and effective algorithms for collecting parallel texts from the Web have already been created. Unfortunately, none of them have been used in the process of Polish-German corpus creation. That is why the aim of the research has been to verify the efficiency of existing algorithms for the collecting of Polish-German parallel corpus, intended as a reference source for a Machine Translation system, to propose a new algorithm and present results achieved by the new algorithm.
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Rocznik
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41-45
Opis fizyczny
Bibliogr. 11 poz.
Twórcy
Bibliografia
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  • [2] Chen Jiang, Jian-Yun Nie, Web parallel text mining for Chinese English cross-language information retrieval. International Conference on Chinese Language Computing, Chicago, Illinois, 2000.
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  • [6] McEnery T., Wilson A., Corpus Linguistics, Edinburgh University Press, 1996.
  • [7] Melamed I. Dan, Models of translational equivalence among words, Computational Linguistics, 26(2), 2000, pp. 221-249.
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Typ dokumentu
Bibliografia
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Identyfikator YADDA
bwmeta1.element.baztech-article-BAT5-0042-0015
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