Processing homonyms in the Kana-to-Kanji conversion
Masahito Takahashi, Tsuyoshi Shinchu, Kenji Yoshimura, Kosho Shudo · 1996
This paper proposes two new methods to identify the correct meaning of Japanese homonyms in text based on the noun-verb co-occurrence in a sentence which can be obtained easily from corpora. The first method uses the near co-occurrence data sets, which are constructed from the above co-occurrence relation, to select the most feasible word among homonyms in the scope of a sentence. The second uses the far co-occurrence data sets, which are constructed dynamically from the near co-occurrence data sets in the course of processing input sentences, to select the most feasible word among homonyms in the scope of a sequence of sentences. An experiment of kana-to-kanji (phonogram-to-ideograph) conversion has shown that the conversion is carried out at the accuracy rate of 79.6% per word by the first method. This accuracy rate of our method is 7.4% higher than that of the ordinary method based on the word occurrence frequency.