Automatic linguistic analysis for language teachers: the case of zeros

Authors:
Mitsuko Yamura-Takei;Makoto Yoshie;Miho Fujiwara;Teruaki Aizawa
Affiliations:
Hiroshima City University, Hiroshima, Japan;Hiroshima City University;Willamette University, OR;Hiroshima City University
Venue:
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Year:
2002

Citing 1
Cited 4

Centering: a framework for modeling the local coherence of discourse

Computational Linguistics

Approaches to zero adnominal recognition

ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 2
Inferable Centers, Centering Transitions, and the Notion of Coherence

Computational Linguistics
Japanese zero pronoun resolution based on ranking rules and machine learning

EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
A method of creating new valency entries

Machine Translation

Quantified Score

Hi-index	0.00

Visualization

Abstract

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 Detector (ZD), aims to promote effective instruction of zero anaphora, on the basis of a hypothesis 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.