We describe a method for augmenting a bilingual lexicon with additional information for selecting an appropriate translation word. For each word in the source language, we calculate a correlation matrix of its association words versus its translation candidates. We estimate the degree of correlation by using comparable corpora based on these assumptions: "parallel word associations" and "one sense per word association." In our word translation disambiguation experiment, the results show that our method achieved 42% recall and 49% precision for Japanese-English newspaper texts, and 45% recall and 76% precision for Chinese-Japanese technical documents.
REF proposed a method for using a bilingual dictionary with a correlation matrix to select an appropriate translation word.
Augmenting a Bilingual Lexicon with Information for Word Translation Disambiguation
Proceedings of the Eighth Workshop on Asian Language Resouces
Computer Science