韩语未登记词过程的复合名词分析

Guanghe Jin, Zhang Li, Dapeng Qu, Xingwei Wang
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引用次数: 0

摘要

本文提出了一种新的复合名词分析方法。它采用分解模型和未注册词识别。后者包含外来词名词、名称名词和地名。外来词名词的识别依据是朝鲜语音节中使用频率较低的音节构成的外来词。名称名词是根据朝鲜语名称的特点和一定音节的可重复性来识别的。在分析地名出现模式的基础上,通过查阅地名词典对地名进行识别。实验结果表明,复合名词分析的平均准确率为98.2%。外来词名词识别准确率为92%,名称名词识别准确率为95%。
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Compound Noun Analysis for Process of Korean Unregistered Word
In this paper, a new method of compound noun analysis is proposed. It uses decomposition model and unregistered words recognition. The latter contains loanword nouns, name nouns and place name. Loanword noun is recognized based on it's formed by syllables which have low use frequency in Korean syllable. Name noun is recognized based on the characteristics of Korean name and the repeatability of the certain amount of syllables. Place name is recognized by consulting place name dictionary based on the analysis of model that the place names appear. The experimental results for compound noun analysis have an average accuracy of 98.2%. The accuracy of loanword nouns recognition and name nouns recognition is 92% and 95% separately.
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