关键词: 哈萨克语, 语言模型, 语音识别, 语料库构建, 文本处理

Abstract: A good language model not only compresses the search space for speech recognition process, but also improves the recognition accuracy. N-gram statistical language model is one of the widely used language models. This paper starts from the collection and processing of the text, introduces the construction technology of Kazakh language model. On?this?basis?a Kazakh continuous speech recognition baseline system?is?implemented. It trains the 3-gram language model based on word and syllable respectively, and then the two language models are evaluated by the result of perplexity and continuous language experiment.

Key words: Kazakh language, language model, Automatic Speech Recognition（ASR）, corpus creation, text processing