Presentation | 2014-06-15 Computing Cross-Lingual Semantic Textual Similarities based on Machine Learning WENTAO Luo, Yoshihiko HAYASHI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper proposes a method to compute cross-lingual semantic textual similarities between sentences in different languages. The method is based on a machine-learning approach, which employs several monolingual similarity features chiefly proposed by projects participated in the *SEM STS (Semantic Textual Similarity) task. To utilize the monolingual features in a cross-lingual setting, we tested two methods to cross language borders: one utilizes bilingual dictionaries and the other employs off-the-shelf machine-translation engines. While our experimental results demonstrated such a translate then monolingual similarity method was reasonably effective in cross-lingual STS for English, Japanese, and Chinese, it has also been insisted that syntactic/structural differences have to be incorporated into the machine-learning based framework. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | semantic textual similarities / cross-lingual similarities / machine learning / machine translation |
Paper # | NLC2014-16 |
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Committee | NLC |
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Conference Date | 2014/6/7(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Natural Language Understanding and Models of Communication (NLC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Computing Cross-Lingual Semantic Textual Similarities based on Machine Learning |
Sub Title (in English) | |
Keyword(1) | semantic textual similarities |
Keyword(2) | cross-lingual similarities |
Keyword(3) | machine learning |
Keyword(4) | machine translation |
1st Author's Name | WENTAO Luo |
1st Author's Affiliation | Graduate School of Language and Culture, Osaka University() |
2nd Author's Name | Yoshihiko HAYASHI |
2nd Author's Affiliation | Graduate School of Language and Culture, Osaka University |
Date | 2014-06-15 |
Paper # | NLC2014-16 |
Volume (vol) | vol.114 |
Number (no) | 81 |
Page | pp.pp.- |
#Pages | 6 |
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