Paper: Learning Chinese Bracketing Knowledge Based On A Bilingual Language Model

ACL ID C02-1003
Title Learning Chinese Bracketing Knowledge Based On A Bilingual Language Model
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2002
Authors

This paper proposes a new method for automatic acquisition of Chinese bracketing knowledge from English-Chinese sentence- aligned bilingual corpora. Bilingual sentence pairs are first aligned in syntactic structure by combining English parse trees with a statistical bilingual language model. Chinese bracketing knowledge is then extracted automatically. The preliminary experiments show automatically learned knowledge accords well with manually annotated brackets. The proposed method is particularly useful to acquire bracketing knowledge for a less studied language that lacks tools and resources found in a second language more studied. Although this paper discusses experiments with Chinese and English, the method is also applicable to other language pairs.