论文信息 - Improving Statistical Machine Translation in the Medical Domain using the Unified Medical Language system

Improving Statistical Machine Translation in the Medical Domain using the Unified Medical Language system

Texts from the medical domain are an important task for natural language processing. This paper investigates the usefulness of a large medical database (the Unified Medical Language System) for the translation of dialogues between doctors and patients using a statistical machine translation system. We are able to show that the extraction of a large dictionary and the usage of semantic type information to generalize the training data significantly improves the translation performance.

[1] C. Lindberg. The Unified Medical Language System (UMLS) of the National Library of Medicine. , 1990, Journal.

[2] Salim Roukos,et al. Bleu: a Method for Automatic Evaluation of Machine Translation , 2002, ACL.

[3] Y. Zhang,et al. Integrated phrase segmentation and alignment algorithm for statistical machine translation , 2003, International Conference on Natural Language Processing and Knowledge Engineering, 2003. Proceedings. 2003.

[4] Vipul Kashyap,et al. The UMLS® Semantic Network and the Semantic Web , 2003, AMIA.

[5] Hongfang Liu,et al. Evaluating the UMLS as a source of lexical knowledge for medical language processing , 2001, AMIA.

[6] Hermann Ney,et al. HMM-Based Word Alignment in Statistical Translation , 1996, COLING.

[7] George R. Doddington,et al. Automatic Evaluation of Machine Translation Quality Using N-gram Co-Occurrence Statistics , 2002 .

[8] Allen C. Browne,et al. UMLS language and vocabulary tools. , 2003, AMIA ... Annual Symposium proceedings. AMIA Symposium.

[9] D. Lindberg,et al. The Unified Medical Language System , 1993, Methods of Information in Medicine.

[10] Robert H. Baud,et al. UMLF: a Unified Medical Lexicon for French , 2005, AMIA.

[11] B. Zuckerman,et al. Errors in medical interpretation and their potential clinical consequences in pediatric encounters. , 2003, Pediatrics.

[12] Hermann Ney,et al. Translation with Cascaded Finite State Transducers , 2000, ACL.