A Light Rule-based Approach to English Subject-Verb Agreement Errors on the Third Person Singular Forms
Yuzhu Wang, Hai Zhao · Institutional Repositories DataBase (IRDB) · 2015
Verb errors are one of the most common grammar errors made by non-native writers of English.This work especially focus on an important type of verb usage errors, subject-verb agreement for the third person singular forms, which has a high proportion in errors made by non-native English learners.Existing work has not given a satisfied solution for this task, in which those using supervised learning method usually fail to output good enough performance, and rule-based methods depend on advanced linguistic resources such as syntactic parsers.In this paper, we propose a rule-based method to detect and correct the concerned errors.The proposed method relies on a series of rules to automatically locate subject and predicate in four types of sentences.The evaluation shows that the proposed method gives state-of-the-art performance with quite limited linguistic resources.