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Chinese Syllable-to-Character (S2C) conversion is the important component for Input Methods, and the key problem in Chinese S2C conversion is the serious phenomenon in Chinese language. In order to disambiguate homophones to improve Chinese S2C conversion, in this paper, Chinese S2C conversion is treated as a sequence labelling task, and the recurrent neural network (RNN) based on supervise sequence...
Long short-term memory (LSTM) based acoustic modeling methods have recently been shown to give state-of-the-art performance on some speech recognition tasks. To achieve a further performance improvement, in this research, deep extensions on LSTM are investigated considering that deep hierarchical model has turned out to be more efficient than a shallow one. Motivated by previous research on constructing...
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