Paper: Translating Unknown Words by Analogical Learning

ACL ID D07-1092
Title Translating Unknown Words by Analogical Learning
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2007

Unknown words are a well-known hindrance to natural language applications. In particu- lar, they drastically impact machine transla- tion quality. An easy way out commercial translation systems usually offer their users is the possibility to add unknown words and their translations into a dedicated lex- icon. Recently, Stroppa and Yvon (2005) have shown how analogical learning alone deals nicely with morphology in different languages. In this study we show that ana- logical learning offers as well an elegant and effective solution to the problem of identify- ing potential translations of unknown words.