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.
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2000, Vol. 14 
