Chinese syllable-to-character conversion with recurrent neural network based supervised sequence labelling

By Yi Liu, Jing Hua, Xiangang Li, Tong Fu, Xihong Wu. 2015

6 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Bo Xu
2. Linhao Dong
3. Shiyu Zhou
4. Shuang Xu
5. Jinyu Li
6. Feng Wang
7. Zhiheng Huang
8. Shujie Liu

In Computer Vision and Pattern Recognition

1. Shiyu Zhou
2. Bo Xu
3. Shuang Xu
4. Linhao Dong

Citations in the corpus

• Syllable-Based Sequence-to-Sequence Speech Recognition with the Transformer in Mandarin Chinese (2018, methodology): “[16] proposed RNN based supervised sequence labelling method with CTC algorithm to achieve a direct conversion from syllable sequences to word sequences.”