Compositional Translation of Technical Terms by Integrating Patent Families as a Parallel Corpus and a Comparable Corpus

In the previous methods of generating bilingual lexicon from parallel patent sentences extracted from patent families, the portion from which parallel patent sentences are extracted is about 30% out of the whole “Background” and “Embodiment” parts and about 70% are not used. Considering this situation, this paper proposes to generate bilingual lexicon for technical terms not only from the 30% but also from the remaining 70% out of the whole “Background” and “Embodiment” parts. The proposed method employs the compositional translation estimation technique utilizing the remaining 70% as a comparable corpus for validating translation candidates. As the bilingual constituent lexicons in compositional translation, we use an existing bilingual lexicon as well as the phrase translation table trained with the parallel patent sentences extracted from the 30%. Finally, we show that about 3,600 technical term translation pairs can be acquired from 1,000 patent families.