Spoken language corpus for machine interpretation research
Yasuyuki Aizawa, Shigeki Matsubara, Nobuo Kawaguchi, Katsuhiko Toyama, Yasuyoshi Inagaki · 2000
This paper describes a database consisting of speech and language, which we are currently constructing for the purpose of the research on machine interpretation. The database contains bilingual data of lectures and dialogues. We have collected the speech of about 72 hours in total and transcribed it into the text manually. We have investigated the database in order to acquire empirical knowledge of human interpreting. In this paper, we report the characteristic features of spoken language by Japanese-to-English interpreters.