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本文首先论述了语言理解过程中机器所面临的主要困难，包括意群分割，歧义消解， 语言、文化和心理多层次解读以及言外意义领悟等。然后，通过分析人类理解语言 的一般规律，提出了意群动力学的观点，作为解决汉语机器理解困难的对策。并讨 论了有关汉语理解过程的特点，给出了汉语机器理解的一种意群动力学的计算策略， 即一种基于量子纠缠原理之上的多重松弛计算逼近的思想和方法。
This paper first discusses the main difficulties that machines face in the process of language comprehension, including the segmentation of meaning groups, the disambiguation of ambiguities, the multi-level interpretation of language, culture and psychology, and the comprehension of extraterritorial meaning. Then, by analyzing the general law of human understanding of language, this paper puts forward the viewpoint of meaning group dynamics as a countermeasure to solve the difficulty of Chinese machine learning. The characteristics of the process of Chinese comprehension are also discussed. A computational strategy of integrable group dynamics for Chinese machine learning is given, which is a kind of thought and method based on quantum entanglement.