Absrtact: Text chunking ACTS as critical function in the field of natural processing field.
摘要：文本语块识别在自然语言处理领域具有重要作用。
In this paper, we treat Chinese text chunking as a classification problem, and apply SVM to solve it.
本文将中文组块识别问题看成分类问题，并利用SVM加以解决。
The text chunking, as a preprocessing step for parsing, is to divide text into syntactically related non-overlapping groups of words (chunks), reducing the complexity of the ful.
文本组块分析作为句法分析的预处理阶段，通过将文本划分成一组互不重叠的片断，来达到降低句法分析的难度。
The text chunking, as a preprocessing step for parsing, is to divide text into syntactically related non-overlapping groups of words (chunks), reducing the complexity of the full parsing.
文本组块分析作为句法分析的预处理阶段，通过将文本划分成一组互不重叠的片断，来达到降低句法分析的难度。
The text chunking, as a preprocessing step for parsing, is to divide text into syntactically related non-overlapping groups of words (chunks), reducing the complexity of the full parsing.
文本组块分析作为句法分析的预处理阶段，通过将文本划分成一组互不重叠的片断，来达到降低句法分析的难度。
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