Employing natural language processing to analyse grammatical error in a simple Japanese sentence

Abstract

This paper presents our research in building an error analysis system that is used to help the language learning process, especially in writing a Japanese sentence with correct grammar. The grammar of the Japanese input is evaluated by the system using several natural language processing (NLP) tools. Type of grammatical errors that can be analysed by the system are writing error, particle usage error, sentence formation error, predicate usage error, and relevance error. The NLP tools used are morphemes analyzer and syntax analyzer, with some other specific modules to process the NLP tools result. The system evaluation is divided into sentence's completeness evaluation, tree structure evaluation, and grammatical function evaluation. Given a Japanese sentence input, the system detects the errors, analyses the cause of the errors, and finally gives instructions to the user about how to correct the sentence. By using 264 input sentences collected for the system evaluation, system achieved an accuracy of 80.30% in giving the fully relevant responses. The user experience's evaluation involves 12 respondents and gives the average score of 73.09 out of 100.