Paper: Automated Collocation Suggestion for Japanese Second Language Learners

ACL ID P13-3008
Title Automated Collocation Suggestion for Japanese Second Language Learners
Venue Annual Meeting of the Association of Computational Linguistics
Session Student Session
Year 2013
Authors

This study addresses issues of Japanese lan- guage learning concerning word combinations (collocations). Japanese learners may be able to construct grammatically correct sentences, however, these may sound ?unnatural?. In this work, we analyze correct word combinations using different collocation measures and word similarity methods. While other methods use well-formed text, our approach makes use of a large Japanese language learner corpus for generating collocation candidates, in order to build a system that is more sensitive to con- structions that are difficult for learners. Our results show that we get better results com- pared to other methods that use only well- formed text.