Paper: Translating Named Entities Using Monolingual And Bilingual Resources

ACL ID P02-1051
Title Translating Named Entities Using Monolingual And Bilingual Resources
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2002
Authors

Named entity phrases are some of the most difficult phrases to translate because new phrases can appear from nowhere, and because many are domain specific, not to be found in bilingual dictionaries. We present a novel algorithm for translating named entity phrases using easily obtain- able monolingual and bilingual resources. We report on the application and evalua- tion of this algorithm in translating Arabic named entities to English. We also com- pare our results with the results obtained from human translations and a commer- cial system for the same task.