The segmentation of ambiguous words is one of the several difficult problems faced by Chinese word segmentation. Solving this problem can effectively improve the accuracy of Chinese word segmentation. In this regard, this paper briefly introduces the overview of Chinese word segmentation, and specifically analyzes the obstacles existing in the current Chinese word segmentation technology and introduces the problem of ambiguous word segmentation in Chinese word segmentation. Finally, on this basis, a Chinese word segmentation system model based on a multivariate relational model that can effectively solve ambiguous segmentation is proposed, and the future optimization direction of this model is briefly analyzed.
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