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Ȩ Ȩ > ¿¬±¸¹®Çå > ¿µ¹® ³í¹®Áö > JIPS (Çѱ¹Á¤º¸Ã³¸®ÇÐȸ)

JIPS (Çѱ¹Á¤º¸Ã³¸®ÇÐȸ)

Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) Bilingual Multiword Expression Alignment by Constituent-Based Similarity Score
¿µ¹®Á¦¸ñ(English Title) Bilingual Multiword Expression Alignment by Constituent-Based Similarity Score
ÀúÀÚ(Author) Hyeong-Won Seo   Hongseok Kwon   Min-Ah Cheon   Jae-Hoon Kim  
¿ø¹®¼ö·Ïó(Citation) VOL 12 NO. 03 PP. 0455 ~ 0467 (2016. 09)
Çѱ۳»¿ë
(Korean Abstract)
¿µ¹®³»¿ë
(English Abstract)
This paper presents the constituent-based approach for aligning bilingual multiword expressions, such as noun phrases, by considering the relationship not only between source expressions and their target translation equivalents but also between the expressions and constituents of the target equivalents. We only considered the compositional preferences of multiword expressions and not their idiomatic usages because our multiword identification method focuses on their collocational or compositional preferences. In our experimental results, the constituent-based approach showed much better performances than the general method for extracting bilingual multiword expressions. For our future work, we will examine the scoring method of the constituent-based approach in regards to having the best performance. Moreover, we will extend target entries in the evaluation dictionaries by considering their synonyms.
Å°¿öµå(Keyword) Bilingual Lexicon   Compositionality   Context Vector   Multiword Expression   MWE Alignment   Pivot Language  
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