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Informatika i Ee Primeneniya [Informatics and its Applications], 2010, Volume 4, Issue 2, Pages 83–92 (Mi ia129)  
This article is cited in 2 scientific papers (total in 2 papers)

Linguistic filters in statistical machine translation models

E. B. Kozerenko

Institute for Problems of Informatics RAS
Full-text PDF (199 kB) Citations (2)
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Abstract: The paper focuses on the problems of linguistic filters development for statistical machine translation and advancement of parallel texts alignment methods for enhancing precision and adequacy of translations. Statistical and heuristic models of alignment and translation are considered. The solutions proposed are based on the hybrid grammar formalism comprising the linguistic rules and probability characteristics of language structures.
Keywords: statistical models; machine translation; parallel texts; alignment; linguistic filters.
Document Type: Article
Language: Russian
Citation: E. B. Kozerenko, “Linguistic filters in statistical machine translation models”, Inform. Primen., 4:2 (2010), 83–92
Citation in format AMSBIB
\Bibitem{Koz10}
\by E.~B.~Kozerenko
\paper Linguistic filters in statistical machine translation models
\jour Inform. Primen.
\yr 2010
\vol 4
\issue 2
\pages 83--92
\mathnet{http://mi.mathnet.ru/ia129}
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  • https://www.mathnet.ru/eng/ia129
  • https://www.mathnet.ru/eng/ia/v4/i2/p83
    • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Информатика и её применения
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    Full-text PDF :256
    References:24
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