基于对数线性模型的简体繁体汉字转换模型

Yidong Chen, X. Shi, Changle Zhou
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引用次数: 3

摘要

随着两岸两岸交流活动的日益增多,繁体中文与简体中文的正确转换问题变得越来越重要。大量的一对多映射和术语使用差异使得从SC到TC的转换更加困难。本文提出了一种基于对数线性模型的简体汉字转换模型,该模型综合了语言模型和词汇语义一致性权重等特征。在估计词汇语义一致性权重时,使用了跨语言的基于词的语义空间。实验结果表明,该模型具有较好的性能。
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A Simplified-Traditional Chinese Character Conversion Model Based on Log-Linear Models
With the growth of exchange activities between four regions of cross strait, the problem to correctly convert between Traditional Chinese (TC) and Simplified Chinese (SC) become more and more important. Numerous one-to-many mappings and term usage differences make it more difficult to convert from SC to TC. This paper proposed a novel simplified-traditional Chinese character conversion model based on log-linear models, in which features such as language models and lexical semantic consistency weighs are integrated. When estimating lexical semantic consistency weighs, cross-language word-based semantic spaces were used. Experiments were conducted and the results show that the proposed model achieve better performance.
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