SOTAVerified

N-gram Model for Chinese Grammatical Error Diagnosis

2017-12-01WS 2017Unverified0· sign in to hype

Jianbo Zhao, Hao liu, Zuyi Bao, Xiaopeng Bai, Si Li, Zhiqing Lin

Unverified — Be the first to reproduce this paper.

Reproduce

Abstract

Detection and correction of Chinese grammatical errors have been two of major challenges for Chinese automatic grammatical error diagnosis.This paper presents an N-gram model for automatic detection and correction of Chinese grammatical errors in NLPTEA 2017 task. The experiment results show that the proposed method is good at correction of Chinese grammatical errors.

Tasks

Reproductions