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NAME TRANSLITERATION METHOD BASED ON CLASSIFICATION OF NAME ORIGINS

机译:基于名称来源分类的名称翻译方法

摘要

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a translation system as a transliteration method based on human-origin classification. The present invention solves the problem of inconsistent transliteration modes in the Chinese-English name transliteration in different country origins. The method adopted in the present invention comprises: Classification of human origin, b. Linear interpolation system fusion. The method proposed in the present invention applies a logistic multi-classification regression model to the classification of human origin, classifies human origin based on the characteristic template of the human character constituent character, And the system fusion is performed on the results of several transliteration models to realize the bilingual translation.
机译:翻译系统技术领域本发明涉及一种作为基于人源分类的音译方法的翻译系统。本发明解决了不同国家起源的汉英姓名音译中音译方式不一致的问题。本发明采用的方法包括:人的来源分类; b。线性插值系统融合。本发明提出的方法将逻辑多分类回归模型应用于人类起源的分类,基于人类角色构成特征的特征模板对人类起源进行分类,并对几种音译模型的结果进行系统融合实现双语翻译。

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