Using a Grammar Checker for Detection Translated English Sentence

Abstract

Machine Translation Systems expect target language output to be grammatically correct within the frame of proper grammatical category. In Myanmar-English statistical machine translation system, the proposed system concerns with the target language model to smooth the translated English sentences. Most of the typical grammar checkers can detect ungrammatical sentences and seek for what error it is. However, they often fail to detect grammar errors for translated English sentence such as missing words. Therefore, we intend to develop an ongoing grammar checker for English as a second language (ESL). There are two main tasks in this approach: detecting the sentence pattern in chunk structure and analyzing the chunk errors. This system identifies the chunk types and generates context free grammar (CFG) rules for recognizing grammatical relations of chunks. It also presents a hybrid approach of trigram-based markov model with rule-based model. Experimental results show that the proposed grammar checker can improve the effectiveness of translation quality.