Paper: Improving SMT Quality With Morpho-Syntactic Analysis

ACL ID C00-2162
Title Improving SMT Quality With Morpho-Syntactic Analysis
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2000
Authors

In the framework of statistical machine transla- tion (SMT), correspondences between the words in the source and the target language are learned from bilingual corpora on the basis of so-called alignment mode, Is. Many of the sta- tistical systems use little or no linguistic know- ledge to structure the underlying models.