A Chinese Writing Correction System for Learning Chinese as a Foreign Language

Yow-Ting Shiue, Hen-Hsen Huang, Hsin-Hsi Chen


Abstract
We present a Chinese writing correction system for learning Chinese as a foreign language. The system takes a wrong input sentence and generates several correction suggestions. It also retrieves example Chinese sentences with English translations, helping users understand the correct usages of certain grammar patterns. This is the first available Chinese writing error correction system based on the neural machine translation framework. We discuss several design choices and show empirical results to support our decisions.
Anthology ID:
C18-2030
Volume:
Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations
Month:
August
Year:
2018
Address:
Santa Fe, New Mexico
Venue:
COLING
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
137–141
Language:
URL:
https://www.aclweb.org/anthology/C18-2030
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/C18-2030.pdf