One of challenges in Chinese Word Segmentation is the combinational ambiguity problem with two main obstacles: the detection of combinational ambiguities and ambiguity resolution.

What is discussed in this paper is the In-depth Analysis of disambiguating in the combinational ambiguity.

The structure was classified in detail using the set theory, and we acquired a series of reasons that producing Combinatorial ambiguity and segment variation.

An inconsistent result about the combinatorial ambiguity causes a discussion between the definitions of combinatorial ambiguity and segmentation variation.

Resolving combinational ambiguity in Chinese word segmentation based on rule mining and Nave Bayes method;

Aiming at cross ambiguity and combinational ambiguity,using the HowNet as the main semantic resources,using knowledge map s knowledge as representation,using the algorithms mentioned in this paper based on semantic calculations,and calculating the discrepancy field of semantic context,to select the correct sentence cut programs,so as to achieve the objective to remove ambiguities.

The cause of ambiguous sentences and its ambiguity division;

Categories and rhetorical functions of ambiguity in English;

The fascination in different meanings of Chinese reading;

According to analyse different meanings general, make a thorough in quiry of produce cause, grope dispel different meanings, attain dispel different meanings and show explicit.

Different structures and functions, the influence of subjects and objects are the main causes which result in the different meanings of the sentences with "shi(是).