Automatic Acquisition of Bilingual Translations Using Recursive Chain-link-type Learning from a Parallel Corpus

概要

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This paper describes an automatic acquisition method of bilingual translations (bilingual pairs of words or phrases) based on the learning algorithm that we call Recursive Chain-link-type Learning. The system with Recursive Chain-link-type Learning automatically acquires many bilingual translations from various bilingual sentences without requiring any analytical knowledge or a large number of similar bilingual sentences. In this learning method, bilingual translations and bilingual templates are reciprocally acquired like a linked chain. A bilingual template is a bilingual pair of generalized sentences that the system acquires by replacing bilingual translations with variables. By using collocations based on variables and their adjoining words in acquired bilingual templates, the system automatically acquires new bilingual translations from various bilingual sentences. In the experimental results, the correct acquisition rate for all nouns and noun phrases in a parallel corpus was 74.9%. Moreover, the acquisition rate of the correct equivalent for unknown words in the commercial English-to-Japanese machine translation system was 78.4%. These results show that the learning ability of the system with Recursive Chain-link-type Learning is high and the automatic acquisition method for bilingual translations using Recursive Chain-link-type Learning is effective.
北海学園大学の論文
2004-02-20