Developing a Chunk-based Grammar Checker for Translated English Sentences

Machine Translation systems expect target language output to be grammatically correct. In Myanmar-English statistical machine translation system, target language output (English) can often be ungrammatical. To address this issue, we propose an ongoing chunk-based grammar checker by using trigram language model and rule based model. It is able to solve distortion, deficiency and make smooth the translated English sentences. We identify the sentences with chunk levels and generate context free grammar (CFG) rules for recognizing grammatical relations of chunks. There are three main processes to build a grammar checker: checking the sentence patterns in chunk level, analyzing the chunk errors and correcting the errors. According to experimental results, this checker can detect simple, compound and complex sentence types for declarative and interrogative sentences. This system is useful for reducing grammar errors of target language in Myanmar-English machine translation system.