Paper: Automatic Linguistic Analysis For Language Teachers: The Case Of Zeros

ACL ID C02-1051
Title Automatic Linguistic Analysis For Language Teachers: The Case Of Zeros
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2002
Authors

This paper presents the Natural Language Processing-based linguistic analysis tool that we have developed for Japanese as a Second Language teachers. This program, Zero De- tector (ZD), aims to promote effective instruc- tion of zero anaphora, on the basis of a hy- pothesis about ideal conditions for second language acquisition, by making invisible zeros visible. ZD takes Japanese written narrative discourse as input and provides the zero-specified texts and their underlying structures as output. We evaluated ZD’s performance in terms of its zero detecting accuracy. We also present an experimental report of its validity for practical use. As a result, ZD has proven to be pedagogically feasible in terms of its accuracy and its impact on effective instruction.