Chinese Spelling Check based on Sequence Labeling

Abstract

Chinese has been widely used by people from all over the world. Various Chinese spelling errors may occur inevitably from Chinese as Foreign Language (CFL) beginners. This paper presents a method for Chinese spelling check to detect and correct spelling errors in a sentence. Our approach is based on the sequence labeling model using the bi-direction LSTM network. We also utilize the Pinyin feature and Chinese strokes feature to improve performance. The evaluation on the SIGHAN-8 shows that our approach gets good performance on both detection and correction tasks.