Factored Translation Models

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.

• Type: Conference
• Year: 2007
• Where: EMNLP
• Authors: Philipp Koehn, Hieu Hoang
• Keywords: Better Translation Performance, EMNLP 2007, Machine Translation Models, Natural Language Processing, Translation Models