Abstract
In this paper, we transform the issue of Chinese-English tense conversion into the issue of tagging a Chinese tense tree. And then we propose Markov Tree Tagging Model to tag nodes of the untagged tense tree with English tenses. Experimental results show that the method is much better than linear-based CRF tagging for the issue.
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References
Liu, Q., Yu, S.: Discussion on the difficulties of Chinese-English machine translation. In: Huang, C.L. (ed.) International Conference on Chinese Information Processing, pp. 507–514. Tsinghua University Press, Beijing (1998)
Gong, Z., Zhang, M., Tan, C., Zhou, G.: N-gram-based tense models for statistical machine translation. In: Proceedings of EMNLP, East Stroudsburg, PA, USA, pp. 276–285. Association for Computational Linguistics (ACL) (2012)
Chen, J., Dai, X., Chen, J., Wang, Q.: Processing of Tense and Aspect in Chinese-English Machine Translation. Application Research of Computers 21(3) (2004)
Hongmei, M.: Research on the Representation and Application of Chinese Context in Chinese-English Machine Translation [Ph.D. Thesis], Changsha, Hunan: National University of Defense Technology (2002)
Ye, Y., Zhang, Z.: Tense tagging for verbs in cross-lingual context: a case study. In: Dale, R., Wong, K.-F., Su, J., Kwong, O.Y. (eds.) IJCNLP 2005. LNCS (LNAI), vol. 3651, pp. 885–895. Springer, Heidelberg (2005)
Gong, Z., Zhang, M., Tan, C., Zhou, G.: Classifier-based tense model for SMT. In: Proceedings of the 24th International Conference on Computational Linguistics, PP. 411–420 (2012)
Lu, J., Ma, Z.: Comments on Function Word of Modern Chinese, pp. 106–141. Peking University Press, Beijing (1999)
Collins, M.: Head-Driven Statistical Models for Natural Language Parsing. Computational Linguistics (2003)
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© 2015 Springer International Publishing Switzerland
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Chen, Y., Zhu, T., Su, C., Shi, X. (2015). Cross-Lingual Tense Tagging Based on Markov Tree Tagging Model. In: Li, J., Ji, H., Zhao, D., Feng, Y. (eds) Natural Language Processing and Chinese Computing. NLPCC 2015. Lecture Notes in Computer Science(), vol 9362. Springer, Cham. https://doi.org/10.1007/978-3-319-25207-0_36
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DOI: https://doi.org/10.1007/978-3-319-25207-0_36
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Online ISBN: 978-3-319-25207-0
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