Reducing Hub Translation Candidates Improves the Accuracy of Bilingual Lexicon Extraction from Comparable Corpora

Author:

Shigeto Yutaro1,Suzuki Ikumi2,Hara Kazuo3,Shimbo Masashi1,Matsumoto Yuji1

Affiliation:

1. Nara Institute of Science and Technology

2. The Institute of Statistical Mathematics

3. National Institute of Genetics

Publisher

Japanese Society for Artificial Intelligence

Subject

Artificial Intelligence,Software

Reference32 articles.

1. [Aker 13] Aker, A., Paramita, M., and Gaizauskas, R.: Extracting bilingual terminologies from comparable corpora, in Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL '13), pp. 402-411 (2013)

2. [Andrade 11] Andrade, D., Matsuzaki, T., and Tsujii, J.: Effective use of dependency structure for bilingual lexicon creation, in Proceedings of the 12th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing '11), pp. 80-92 (2011)

3. [Bouamor 13a] Bouamor, D., Semmar, N., and Zweigenbaum, P.: Building specialized bilingual lexicons using word sense disambiguation, in Proceedings of the 5th International Joint Conference on Natural Language Processing (IJCNLP '13), pp. 952-956 (2013)

4. [Bouamor 13b] Bouamor, D., Semmar, N., and Zweigenbaum, P.: Context vector disambiguation for bilingual lexicon extraction from comparable corpora, in Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL '13), pp. 759-764 (2013)

5. [Eriksson06] Eriksson, L., Johansson, E., Kettaneh-Wold, N., Trygg, J., Wikstro m, C., and Wold, S.: Multi- and Megavariate Data Analysis Part I: Basic Principles and Applications, Umetrics, Inc. (2006)

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