自然言语中包含较多的非流利成分，在近些年有越来越多的研究关注这一常见现象。本研究在对非流利研究的现状进行概述的基础上，将前人提出的非流利分类体系进行了调整以符合汉语的表达，并检验新体系在汉语母语者中的适用性。随后，对非流利语料进行词频分析，得出非流利产出中的高频词并做个例分析。结果发现，新体系可以较好地对汉语母语者在真实会话中的非流利片段进行划分。而在以高频词“就”为例对相关会话进行分析中，发现“就”在会话中有近一半数量是作为非流利成分出现的，所属的非流利类别也较为固定，说明了非流利产出内部有一定的规律可循。非流利产出现象在当下有较为广阔的研究前景，特别是在和新技术的结合下，将有助于研究人员对言语现象做进一步探索。

Disfluencies in spontaneous speech are very common and have been investigated more and more in recent years. This study first summarized previous research on disfluency, and then attempted to adapt the classification system of disfluency for spoken Chinese. High-frequency words in the disfluency corpus were also analyzed. The results show that the component of disfluency in real conversation of Chinese native speakers can be well classified by the new system. “Jiu”（就）, for example, is one of the high-frequency words in disfluency. Nearly half number of this word are used as a component of disfluency, and belong to the same categories of disfluency, which indicates that there should be some rules in the production of disfluency. The disfluency phenomenon has broad research prospects, and is beneficial to further exploration of speech.