Translating compounds by learning component gloss translation models via multiple languages
Nikesh Garera, David Yarowsky · 2008
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 by adding component-sequence and learned-morphology models along with context sim-ilarity from monolingual text and optional combination with traditional bilingual-text-based translation discovery. 1