Paper: Automatic Error Detection In The Japanese Learners' English Spoken Data

ACL ID P03-2026
Title Automatic Error Detection In The Japanese Learners' English Spoken Data
Venue Annual Meeting of the Association of Computational Linguistics
Session System Demonstration
Year 2003
Authors

This paper describes a method of detecting grammatical and lexical errors made by Japanese learners of English and other techniques that improve the accuracy of error detection with a limited amount of training data. In this paper, we demonstrate to what extent the proposed methods hold promise by conducting experiments using our learner corpus, which contains information on learners’ errors.