We propose a backoff model for phrasebased machine translation that translates unseen word forms in foreign-language text by hierarchical morphological abstractions at the word and the phrase level. The model is evaluated on the Europarl corpus for German-English and FinnishEnglish translation and shows improvements over state-of-the-art phrase-based models.
REF proposed a backoff model for phrase-based SMT that translated word forms in the source language by hierarchical morphological phrase level abstractions.
Phrase-Based Backoff Models For Machine Translation Of Highly Inflected Languages
Conference Of The European Association For Computational Linguistics
Computer Science