Factored Translation Models

Philipp Koehn, Hieu Hoang

Research output: Chapter in Book/Report/Conference proceedingConference contribution


We present an extension of phrase-based statistical machine translation models that enables the straight-forward integration of additional annotation at the word-level — may it be linguistic markup or automatically generated word classes. In a number of experiments we show that factored translation models lead to better translation performance, both in terms of automatic scores, as well as more grammatical coherence.
Original languageEnglish
Title of host publicationProceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)
Place of PublicationPrague, Czech Republic
PublisherAssociation for Computational Linguistics
Number of pages9
Publication statusPublished - 1 Jun 2007

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