Automatic Super-Function Extraction for Translation of Spoken Dialogue

Extraction of a large number of super-function (SF) is the most important factor in realizing SF based machine translation. This paper presents a method for automatic extraction of SF from a Japanese-English bilingual corpus. The extraction process uses a bilingual dictionary to match Japanese and English nouns in each sentence pair. The experimental results using a Japanese-English bilingual corpus show that this method performs very well in automatically extracting SF for machine translation. In addition, we evaluate the extracted SF in SF based machine translation.