We define noun phrase translation as a subtask of machine translation. This enables us to build a dedicated noun phrase translation subsystem that improves over the currently best general statistical machine translation methods by incorporating special modeling and special features. We achieved 65.5% translation accuracy in a German-English translation task vs. 53.2% with IBM Model 4.
In addition, REF show that it is reasonable to define noun phrase translation without context as an independent MT subtask and build a noun phrase translation subsystem that improves statistical machine translation methods.
Feature-Rich Statistical Translation Of Noun Phrases
Annual Meeting Of The Association For Computational Linguistics
Computer Science