Automatic knowledge acquisition for case alternation between the passive and active voices in Japanese

Ryohei Sasano, Daisuke Kawahara, Sadao Kurohashi, Manabu Okumura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

We present a method for automatically acquiring knowledge for case alternation between the passive and active voices in Japanese. By leveraging several linguistic constraints on alternation patterns and lexical case frames obtained from a large Web corpus, our method aligns a case frame in the passive voice to a corresponding case frame in the active voice and finds an alignment between their cases. We then apply the acquired knowledge to a case alternation task and prove its usefulness.

Original languageEnglish
Title of host publicationEMNLP 2013 - 2013 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference
PublisherAssociation for Computational Linguistics (ACL)
Pages1213-1223
Number of pages11
ISBN (Electronic)9781937284978
Publication statusPublished - Jan 1 2013
Event2013 Conference on Empirical Methods in Natural Language Processing, EMNLP 2013 - Seattle, United States
Duration: Oct 18 2013Oct 21 2013

Publication series

NameEMNLP 2013 - 2013 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference

Other

Other2013 Conference on Empirical Methods in Natural Language Processing, EMNLP 2013
CountryUnited States
CitySeattle
Period10/18/1310/21/13

Fingerprint

Knowledge acquisition
Linguistics

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Information Systems
  • Computer Vision and Pattern Recognition

Cite this

Sasano, R., Kawahara, D., Kurohashi, S., & Okumura, M. (2013). Automatic knowledge acquisition for case alternation between the passive and active voices in Japanese. In EMNLP 2013 - 2013 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference (pp. 1213-1223). (EMNLP 2013 - 2013 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference). Association for Computational Linguistics (ACL).

Automatic knowledge acquisition for case alternation between the passive and active voices in Japanese. / Sasano, Ryohei; Kawahara, Daisuke; Kurohashi, Sadao; Okumura, Manabu.

EMNLP 2013 - 2013 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), 2013. p. 1213-1223 (EMNLP 2013 - 2013 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sasano, R, Kawahara, D, Kurohashi, S & Okumura, M 2013, Automatic knowledge acquisition for case alternation between the passive and active voices in Japanese. in EMNLP 2013 - 2013 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. EMNLP 2013 - 2013 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference, Association for Computational Linguistics (ACL), pp. 1213-1223, 2013 Conference on Empirical Methods in Natural Language Processing, EMNLP 2013, Seattle, United States, 10/18/13.
Sasano R, Kawahara D, Kurohashi S, Okumura M. Automatic knowledge acquisition for case alternation between the passive and active voices in Japanese. In EMNLP 2013 - 2013 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL). 2013. p. 1213-1223. (EMNLP 2013 - 2013 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).
Sasano, Ryohei ; Kawahara, Daisuke ; Kurohashi, Sadao ; Okumura, Manabu. / Automatic knowledge acquisition for case alternation between the passive and active voices in Japanese. EMNLP 2013 - 2013 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), 2013. pp. 1213-1223 (EMNLP 2013 - 2013 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).
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