Based on the individual character recognition, it is needed for us to do post-processing using language knowledge and context relevant information of text.
需要在单字符识别基础上，利用语言学知识和文本的上下文相关信息进行后处理。
Traditional speech recognition system has an intrinsic defect that, commonly only use the acoustic model of speech and unable to use non-acoustic knowledge of language to recognize speech.
仅仅依靠语音信号的声学模型来进行语音识别，存在着不能利用语言的非声学知识的固有缺陷。
Traditional speech recognition system has an intrinsic defect that, commonly only use the acoustic model of speech and unable to use non-acoustic knowledge of language to recognize speech.
仅仅依靠语音信号的声学模型来进行语音识别，存在着不能利用语言的非声学知识的固有缺陷。
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