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Handling Japanese homophone errors in revision support system for Japanese texts: REVISE

Published: 13 October 1994 Publication History

Abstract

Japanese texts frequently suffer from the homophone errors caused by the KANA-KANJI conversion needed to input the text. It is critical, therefore, for Japanese revision support systems to detect and to correct homophone errors. This paper proposes a method for detecting and correcting Japanese homophone errors in compound nouns. This method can not only detect Japanese homophone errors in compound nouns, but also can find the correct candidates for the detected errors automatically. Finding the correct candidates is one superiority of this method over existing methods. The basis idea of this method is that a compound noun component places some restrictions on the semantic categories of the adjoining words. The method accurately determines that a homophone is misused in a compound noun if one or both of its neighbors is not a member of the semantic set defined by the homophone. Also, the method successfully indicates the correct candidates for the detected homophone errors.

References

[1]
Fukushima, Toshikazu; Ohtake, Akiko; Ohyama, Yutaka; and Shutoh, Tomoki (1986). "Computer Assisted Environment for Japanese Text Creation: COMET." IEICE technical report, OS86-21, 15--22 (in Japanese).
[2]
Ikehara, Satoru; Yasuda, Tsuneo; Shimazaki, Katsumi; and Takagi, Shin-ichiro (1987). "Revision Support System for Japanese Verbal Error (REVISE)." NTT Electrical Communications Laboratories Technical Journal, 36, 9, 1159--1167 (in Japanese).
[3]
Kuga, Shigeki (1986). "Japanese Text Writing and Proofreading System WISE." IEICE technical report, OS86-28, 13--18 (in Japanese).
[4]
Makino, Hiroshi, and Kizawa, Makoto (1981). "An Automatic Translation System of Non-segmented Kana Sentences into Kanji-Kana Sentences and its Homonym Analysis." Trans. IPS Japan, 22, 1, 59--67 (in Japanese).
[5]
Nakano, Hiroshi (1982). "Distinction between Homophones." Technical report on SIG-NL of IPS Japan, 33--4 (in Japanese).
[6]
Ohara, Hisashi; Takagi, Shin-ichiro; Hayashi, Yoshihiko; and Takeishi, Eiji (1991). "Revision Support Techniques for Japanese Text." NTT R&D, 40, 7, 905--913 (in Japanese).
[7]
Ono, Susumu, and Hamanishi, Masando (1981). RUIGO- SHIN-JITEN. Kadokawa Shoten (in Japanese).
[8]
Oshima, Yoshimitsu; Abe, Masahiro; Yuura, Katsuhiko; and Takeichi, Nobuyuki (1986). "A Disambiguation Method in Kana-to-Kanji Conversion Using Case Frame Grammar." Trans. IPS Japan, 27, 7, 679--687 (in Japanese).
[9]
Suzuki, Emiko, and Takeda, Koichi (1989). "Design and Evaluation of a Japanese Text Proofreading System." Trans. IPS Japan, 30, 11, 1402--1412 (in Japanese).
[10]
Tanaka, Yasuhito; Mizutani, Shizuo; and Yoshida, Sho (1984). "Relationship between words." Technical report on SIG-NL of IPS Japan, 41--4 (in Japanese).
[11]
Tanaka, Yasuhito, and Yoshida, Sho (1987). "A Method for Appropriately Selecting the Multivocal Words by Utilizing Knowledge Data (Relationship between Words)." Technical report on SIG-NL of IPS Japan, 60--3 (in Japanese).
[12]
The National Language Research Institute (1964). BUNRUI-GOI-HYO, Shuuei Shuppan (in Japanese).

Cited By

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  • (1999)Detection of Japanese homophone errors by a decision list including a written word as a default evidenceProceedings of the ninth conference on European chapter of the Association for Computational Linguistics10.3115/977035.977060(180-187)Online publication date: 8-Jun-1999
  1. Handling Japanese homophone errors in revision support system for Japanese texts: REVISE

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    cover image DL Hosted proceedings
    ANLC '94: Proceedings of the fourth conference on Applied natural language processing
    October 1994
    226 pages

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    • ACL: Association for Computational Linguistics
    • Gesellschaft ffir Informatik

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    Association for Computational Linguistics

    United States

    Publication History

    Published: 13 October 1994

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    • (1999)Detection of Japanese homophone errors by a decision list including a written word as a default evidenceProceedings of the ninth conference on European chapter of the Association for Computational Linguistics10.3115/977035.977060(180-187)Online publication date: 8-Jun-1999

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