论文讨论了一种通过自然语言语义层次的理解来协助提高脱机手写体识别率的方法。
In this paper, we discuss a new method to effectively improve offline handwritten character recognition through semantic analysis.
但语音识别系统忽略语言的视觉特性，仅仅利用听觉特性，使得语音识别系统在噪声环境下，识别率大大下降。
However, audio-recognition system only USES the audio information of speech, and ignores the visual features of it. Under the noise circumstance, the recognition rate declines so much.
但语音识别系统忽略语言的视觉特性，仅仅利用听觉特性，使得语音识别系统在噪声环境下，识别率大大下降。
However, audio-recognition system only USES the audio information of speech, and ignores the visual features of it. Under the noise circumstance, the recognition rate declines so much.
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