使用伪词可以避免有指导的词义消歧方法中的数据稀疏问题，充分验证词义分类器的实验效果。
Using pseudowords we can overcome data sparseness problem in supervised WSD and fully verify the experimental effect of word sense classifier.
词义消歧问题可以形式化为典型的分类问题。
The problem of word sense disambiguation can be formalized to be a typical classify problem.
最后，在语义分类和语义编码研究的基础上，从认知入手，深入探讨词义的扩大与缩小。
Third, it probes into the amplification and the narrowing ofthe meaning of words from the cognitive way basing on the research of semantic category and the semantic encoding.
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