Chinese Grammatical Error Correction Based on Convolutional Sequence to Sequence Model

Chinese grammatical error correction (CGEC) is practically useful for learners of Chinese as a second language, but it is a rather challenging task due to the complex and flexible nature of Chinese language so that existing methods for English cannot be directly applied. In this paper, we introduce...

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Veröffentlicht in:	IEEE access 2019, Vol.7, p.72905-72913
Hauptverfasser:	Li, Si, Zhao, Jianbo, Shi, Guirong, Tan, Yuanpeng, Xu, Huifang, Chen, Guang, Lan, Haibo, Lin, Zhiqing
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Chinese grammatical error correction Context Convolution convolutional Decoding Error correction Error correction & detection Hidden Markov models Kernel Machine translation Neural networks Optimization Recurrent neural networks sequence to sequence Task analysis Writing
Online-Zugang:	Volltext
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