Statistical Pattern-Based Machine Translation with Statistical French-English Machine Translation

Department of Information and Knowledge Engineering, Faculty of Engineering
Tottori University, Japan
murakami@ike.tottori-u.ac.jp

概要:

We developed a two-stage machine translation (MT) system. The first stage consists of an automatically created pattern-based machine translation system, and the second stage consists of a standard statistical machine translation (SMT) system. For French-English machine translation, we first used a French-English pattern-based MT, and we obtained "English" sentences from French sentences. Second, we used a standard SMT. This means that we translated "English" to English machine translation.

We obtained a Bilingual Evaluation Understudy (BLEU) score of 0.5201 in the Basic Travel Expression Corpus - French English (BTEC-FE) task using our proposed system. In contrast, we obtained a BLEU score of 0.5077 in the BTEC-FE task using a standard SMT system (Moses). This means that our proposed system is effective in the BTEC-FE task. However, our system placed 7th out of 9 systems.