Abstract
The referential properties of noun phrases in the Japanese language, which has no articles, are useful for article generation in Japa- nese English machine translation and for anaphora resolution in Japanese noun phrases. They are generally classified as generic noun phrases, def- inite noun phrases, and indefinite noun phrases. In the previous work, referential properties were estimated by developing rules that used clue words. If two or more rules were in conflict with each other, the cate- gory having the maximum total score given by the rules was selected as the desired category. The score given by each rule was established by hand, so the manpower cost was high. In this work, we automatically adjusted these scores by using a machine-learning method and succeeded in reducing the amount of manpower needed to adjust these scores.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Francis Bond, Kentaro Ogura, and Satoru Ikehara. Countability and Number in Japanese to English Machine Translation. In COLING’ 94, pages 32–38, 1994.
Akihisa Kumayama. Usage of the English Articles. Taishukan Publisher, 1985. (in Japanese).
Sadao Kurohashi and Makoto Nagao. A Method of Case Structure Analysis for Japanese Sentences based on Examples in Case Frame Dictionary. IEICE Transactions on Information and Systems, E77-D(2):227–239, 1994.
Sadao Kurohashi and Makoto Nagao. Japanese Morphological Analysis System JUMAN version 3.5. Department of Informatics, Kyoto University, 1998. (in Japanese).
Masaki Murata and Makoto Nagao. Determination of referential property and number of nouns in Japanese sentences for machine translation into English. In Proceedings of the 5th TMI, pages 218–225, 1993.
Masaki Murata and Makoto Nagao. An estimate of referent of noun phrases in Japanese sentences. In COLING’ 98, pages 912–916, 1998.
Kiyoaki Nakao. The Old Man with a Wen, volume 7 of Eiyaku Nihon Mukashibanashi Series. Nihon Eigo Kyouiku Kyoukai, 1985.
Eric Sven Ristad. Maximum Entropy Modeling for Natural Language. ACL/EACL Tutorial Program, Madrid,, 1997.
Eric Sven Ristad. Maximum Entropy Modeling Toolkit, Release 1.6 beta. http://www.mnemonic.com/ software/memt, 1998.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Murata, M., Uchimoto, K., Ma, Q., Isahara, H. (2001). A Machine-Learning Approach to Estimating the Referential Properties of Japanese Noun Phrases. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2001. Lecture Notes in Computer Science, vol 2004. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44686-9_14
Download citation
DOI: https://doi.org/10.1007/3-540-44686-9_14
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-41687-6
Online ISBN: 978-3-540-44686-6
eBook Packages: Springer Book Archive