Inference of Phrase-Based Translation Models via Minimum Description Length
Jesús González-Rubio, Francisco Casacuberta · 2014
We present an unsupervised inference procedure for phrase-based translation models based on the minimum description length principle.In comparison to current inference techniques that rely on long pipelines of training heuristics, this procedure represents a theoretically wellfounded approach to directly infer phrase lexicons.Empirical results show that the proposed inference procedure has the potential to overcome many of the problems inherent to the current inference approaches for phrase-based models.