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Automatic Extraction of Super-Function From Bilingual Corpus
Author(s) -
Manabu Sasayama,
Fuji Ren,
Shingo Kuroiwa
Publication year - 2009
Publication title -
electronic notes in theoretical computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.242
H-Index - 60
ISSN - 1571-0661
DOI - 10.1016/j.entcs.2008.12.084
Subject(s) - machine translation , computer science , natural language processing , artificial intelligence , translation (biology) , noun , sentence , function (biology) , extraction (chemistry) , bilingual dictionary , process (computing) , programming language , biochemistry , chemistry , chromatography , evolutionary biology , messenger rna , biology , gene
Extraction of a large Super-Function (SF) is one of the most important factor in realizing SF based machine translation. This paper presents a method to automatically extract SF from a Japanese-English bilingual corpus. The extraction process matches Japanese noun and English noun in each bilingual sentence in a bilingual corpus using a bilingual dictionary. The experimental results show that this method performs very well in automatically extracting SF for machine translation. Then, we discuss a problem of SF based machine translation from the result of the evaluation experiment using extracted SF

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