【摘要】 本文提出了一种从英汉平行语料库中自动抽取术语词典的算法。首先采用基于字符长度的改进的统计方法对平行语料进行句子级的对齐 ,并对英文语料和中文语料分别进行词性标注和切分与词性标注。统计已对齐和标注的双语语料中的名词和名词短语生成候选术语集。然后对每个英文候选术语计算与其相关的中文翻译之间的翻译概率。最后通过设定随词频变化的阈值来选取中文翻译。在对真实语料的术语抽取实验中取得了较好的结果更多还原

【Abstract】 An algorithm for the automatic extraction of a bilingual term lexicon from English Chinese parallel corpora is proposed in this paper.Parallel corpora are firstly aligned by improved statistical method,which is based on character length,and tagged with their part of speech categories respectively.The term candidate set is produced by statistical the nouns and noun phrases of both corpora.Then the translation probability between every English candidate term and its Chinese translation term are calculated.Finally,the Chinese translation of English term is selected by threshold value,which varies with word frequency.A better performance is obtained in the experiments of term extraction on real corpora.更多还原