Translation Template Learning Based on Hidden Markov Modeling.
Le-Minh Nguyen, Akari Shimazu, Susumu Horiguchi · Pacific Asia Conference on Language, Information, and Computation · 2003
This paper addresses a novel translation method based on Hidden Markov Model using template rules after learning them from the bilingual corpus. The method can enhance the translation accuracy and ensure a low complexity in comparing with the pervious template learning translation method and draws a new perspective for applying statistical machine learning on example based translations. domain.