Paper: Translating Compounds by Learning Component Gloss Translation Models via Multiple Languages

ACL ID I08-1053
Title Translating Compounds by Learning Component Gloss Translation Models via Multiple Languages
Venue International Joint Conference on Natural Language Processing
Session Main Conference
Year 2008
Authors

This paper presents an approach to the translation of compound words without the need for bilingual training text, by mod- eling the mapping of literal component word glosses (e.g. “iron-path”) into flu- ent English (e.g. “railway”) across mul- tiple languages. Performance is improved byaddingcomponent-sequenceandlearned- morphology models along with context sim- ilarity from monolingual text and optional combination with traditional bilingual-text- based translation discovery.