CYUT-III Team Chinese Grammatical Error Diagnosis System Report in NLPTEA-2018 CGED Shared Task

Shih-Hung Wu, Jun-Wei Wang, Liang-Pu Chen, Ping-Che Yang


Abstract
This paper reports how we build a Chinese Grammatical Error Diagnosis system in the NLPTEA-2018 CGED shared task. In 2018, we sent three runs with three different approaches. The first one is a pattern-based approach by frequent error pattern matching. The second one is a sequential labelling approach by conditional random fields (CRF). The third one is a rewriting approach by sequence to sequence (seq2seq) model. The three approaches have different properties that aim to optimize different performance metrics and the formal run results show the differences as we expected.
Anthology ID:
W18-3729
Volume:
Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications
Month:
July
Year:
2018
Address:
Melbourne, Australia
Venues:
ACL | NLP-TEA | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
199–202
Language:
URL:
https://www.aclweb.org/anthology/W18-3729
DOI:
10.18653/v1/W18-3729
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PDF:
http://aclanthology.lst.uni-saarland.de/W18-3729.pdf