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Japanese morphological analyzer using word co-occurrence: JTAG

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ACL '98/COLING '98: Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics - Volume 1

Pages 409 - 413

https://doi.org/10.3115/980845.980915

Published: 10 August 1998 Publication History

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Abstract

We developed a Japanese morphological analyzer that uses the co-occurrence of words to select the correct sequence of words in an unsegmented Japanese sentence. The co-occurrence information can be obtained from cases where the system incorrectly analyzes sentences. As the amount of information increases, the accuracy of the system increases with a small risk of degradation. Experimental results show that the proposed system assigns the correct phonological representations to unsegmented Japanese sentences more precisely than do other popular systems.

References

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ACL '98/COLING '98: Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics - Volume 1

August 1998

768 pages

Program Chairs:
Christian Boitet
Université Joseph Fourier, Grenoble, France
,
Pete Whitelock
Sharp Laboratories of Europe Ltd., Oxford, United Kingdom

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Association for Computational Linguistics

United States

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Published: 10 August 1998

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Nishida KSaito IOtsuka AAsano HTomita JCuzzocrea AAllan JPaton NSrivastava DAgrawal RBroder AZaki MCandan SLabrinidis ASchuster AWang H(2018)Retrieve-and-ReadProceedings of the 27th ACM International Conference on Information and Knowledge Management10.1145/3269206.3271702(647-656)Online publication date: 17-Oct-2018
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