Kana-Kanji Conversion by A Stochastic Model
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- MORI Shinsuke
- Tokyo Research Laboratory, IBM Japan
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- TSUCHIYA Masatoshi
- Graduate School of Informatics, Kyoto University
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- YAMAJI Osamu
- Graduate School of Informatics, Kyoto University
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- NAGAO Makoto
- Graduate School of Informatics, Kyoto University
Bibliographic Information
- Other Title
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- 確率的モデルによる仮名漢字変換
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Abstract
In this paper, we present a kana-kanji converter by a stochastic model. Given an input this method returns the most probable kana-kanji character sequence. For its evaluation, we converted kana sequences of a corpus containing kana-kanji sequences. The criterion we used is the ratio of the length of longest common subsequece. The recall and precision of our method are 95.07% and 93.94% respectively. This result is much better than that of Wnn6 (recall : 91.12% ; precision : 91.17%).
Journal
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- IPSJ SIG Notes
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IPSJ SIG Notes 125 93-99, 1998-05-28
Information Processing Society of Japan (IPSJ)
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Details 詳細情報について
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- CRID
- 1572543027084199936
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- NII Article ID
- 110002934730
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- NII Book ID
- AN10115061
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- Text Lang
- ja
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- Data Source
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- CiNii Articles
