@inproceedings{34eeb5268efc4964992f59ae8463ff70,
title = "Identifying idiomatic expressions using phrase alignments in bilingual parallel corpus",
abstract = "Previous efforts to identify idiomatic expressions using a bilingual parallel corpus have focused on the method of using word alignments to catch the sense of individual words. In this paper, we propose a method of using phrase alignments rather than word alignments in a parallel corpus to recognize the sense of phrases as well as words. Our proposed scoring functions are based on the difference of translation tendency between a phrase and individual words. They can help us identify idiomatic expressions with a entropy variation and a translation difference between a phrase and individual words. Experimental results show that our proposed method is more effective than previous approaches for the identification of idiomatic expressions. In addition, we proved that linguistic constraints can be integrated into our method to improve the performance.",
author = "Lee, {Hyoung Gyu} and Kim, {Min Jeong} and Gumwon Hong and Kim, {Sang Bum} and Hwang, {Young Sook} and Rim, {Hae Chang}",
year = "2010",
doi = "10.1007/978-3-642-15246-7_14",
language = "English",
isbn = "3642152457",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "123--133",
booktitle = "PRICAI 2010",
note = "11th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2010 ; Conference date: 30-08-2010 Through 02-09-2010",
}