英文摘要 |
Many grammar checkers in rule-based approach do not handle errors that come from various usages, for example, the usages of prepositions. To study the behavior of prepositions, we introduce the language model into a grammarchecking task. A language model is trained from a large training corpus, which contains many short phrases. It can be used for detecting and correcting certain types of grammar errors, where local information is sufficient to make decision. We conduct several experiments on finding the correct English prepositions. The experiment results show that the accuracy of open test is 71% and the accuracy of closed test is 89%. The accuracy is 70% on TOEFL-level tests. |