歧义字段可从三个方面进行分类。
该文利用一种统计的方法来解决交集型歧义字段的切分。
This paper proposes a statistical method to solve overlapped ambiguity in Chinese words' segmentation.
该方法建立在词法和句法基础上，从语境角度分析歧义字段，提高分词准确率。
The method improves the accuracy of word segmentation, by combining morphology and syntax with language situation.
系统包括初切分，词性标注、歧义字段处理、模型平滑、未登录词识别等功能模块。
The system includes some modules such as originally segmenting, POS tagging, ambiguity processing, model smoothing and Unknown Word Recognizing.
汉语自动分词中组合歧义是难点问题，难在两点：组合歧义字段的发现和歧义的消解。
One of challenges in Chinese Word Segmentation is the combinational ambiguity problem with two main obstacles: the detection of combinational ambiguities and ambiguity resolution.
提出了相对词频的概念，据此建立了语境计算模型，利用歧义字段前后语境信息对组合型分词歧义进行消解。
The concept of relative word frequency (RWF) is proposed. A context calculation model is set up, which makes use of contextual information to resolute covering ambiguity in Chinese word segmentation.
本文在利用正向最大匹配方法和逆向最大匹配方法来对输入文本进行预切分，并通过双向扫描的方法检测歧义字段。
We segmented input text. utilizing the methods of Maximum Matching and Reverse Maximum Matching, and found ambiguous word through two-way-scan method.
对于组合型歧义，通过语料库学习到歧义字段的消歧规则列表并对其进行优化，然后用来纠正这些歧义字段的分词错误。
To combination ambiguous segmentation, we acquire and optimize disambiguation rules list through corpus, then apply the rules to correct ambiguous segmentation.
目前学术界主要采用计算机自动分词解决中文文本分词，但是这种方法不能完全解决分词问题，这是因为计算机自动分词不能彻底地解决歧义字段的切分。
And now the most widely used method is automatic segmentation. But this method can't solve the problem thoroughly, because this method can't solve the problem of ambiguous segment.
组合型歧义切分字段一直是汉语自动分词的难点，难点在于消歧依赖其上下文语境信息。
Combinational ambiguity is a challenging issue in Chinese word segmentation in that its disambiguation depends on the contextual information.
介绍了编码信息块中常用字段的著录方法，并结合实例对易产生歧义的代码进行了分析。
This paper has discussed the description method of coding block and used examples to explain different meanings code.
介绍了编码信息块中常用字段的著录方法，并结合实例对易产生歧义的代码进行了分析。
This paper has discussed the description method of coding block and used examples to explain different meanings code.
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