Knowledge Sources for Word-Level Translation Models
Philipp Koehn, Kevin K. Knight · Edinburgh Research Explorer (University of Edinburgh) · 2001
We present various methods to train word-level translation models for statistical machine translation systems that use widely different knowledge sources ranging from parallel corpora and a bilingual lexicon to only monolingual corpora in two languages. Some novel methods are presented and previously published methods are reviewed. Also, a common evaluation metric enables the first quantitative comparison of these approaches.