Japanese-to-English patent translation system based on domain-adapted word segmentation and post-ordering
Katsuhito Sudoh, Masaaki Nagata, Shinsuke Mori, Tatsuya Kawahara
Abstract
This paper presents a Japanese-to-English statistical machine translation system specialized for patent translation. Patents are practically useful technical documents, but their translation needs different efforts from general-purpose translation. There are two important problems in the Japanese-to-English patent translation: long distance reordering and lexical translation of many domain-specific terms. We integrated novel lexical translation of domain-specific terms with a syntax-based post-ordering framework that divides the machine translation problem into lexical translation and reordering explicitly for efficient syntax-based translation. The proposed lexical translation consists of a domain-adapted word segmentation and an unknown word transliteration. Experimental results show our system achieves better translation accuracy in BLEU and TER compared to the baseline methods.- Anthology ID:
- 2014.amta-researchers.18
- Volume:
- Proceedings of the 11th Conference of the Association for Machine Translation in the Americas: MT Researchers Track
- Month:
- October 22-26
- Year:
- 2014
- Address:
- Vancouver, Canada
- Venue:
- AMTA
- SIG:
- Publisher:
- Association for Machine Translation in the Americas
- Note:
- Pages:
- 234–248
- Language:
- URL:
- https://aclanthology.org/2014.amta-researchers.18
- DOI:
- Cite (ACL):
- Katsuhito Sudoh, Masaaki Nagata, Shinsuke Mori, and Tatsuya Kawahara. 2014. Japanese-to-English patent translation system based on domain-adapted word segmentation and post-ordering. In Proceedings of the 11th Conference of the Association for Machine Translation in the Americas: MT Researchers Track, pages 234–248, Vancouver, Canada. Association for Machine Translation in the Americas.
- Cite (Informal):
- Japanese-to-English patent translation system based on domain-adapted word segmentation and post-ordering (Sudoh et al., AMTA 2014)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2014.amta-researchers.18.pdf