Bilingual Collocation Extraction Based on Syntactic and Statistical Analyses

Bilingual Collocation Extraction Based on Syntactic and Statistical Analyses

In this paper, we describe an algorithm that employs syntactic and statistical analysis to extract bilingual collocations from a parallel corpus. The preferred syntactic patterns are obtained from idioms and collocations in a machine-readable dictionary. Phrases matching the patterns are extract from aligned sentences in a parallel corpus. Those phrases are subsequently matched up via cross-linguistic statistical association. Statistical association between the whole collocations as well as words in collocations is used jointly to link a collocation and its counterpart collocation in the other language. We experimented with an implementation of the proposed method on a very large Chinese-English parallel corpus with satisfactory results.