Repairing Bengali Verb Chunks for Improved Bengali to Hindi Machine Translation

The present paper identifies the mistakes made by a data driven Bengali chunker. The analysis of a chunk based machine translation output shows that the major classes of errors are generated from the verb chunk identification mistakes. Therefore, based on the analysis of the types of mistakes in the Bengali verb chunk identification we propose some modules. These modules use tables of manually created entries which are validated using chunk annotated and dependency annotated corpus. These modules are used to repair the Bengali verb chunks and subsequently to improve the quality of Bengali to Hindi transfer based machine translation system.