字串匹配 meaning in Chinese

string matching

In order to identify the dependent relationship between words based on statistics efficiently and accurately , this paper has rectified part of the shortcomings of present algorithms by making the best of the distribution characteristic between words , distinguishing the collocation , coordinate and affiliation relationship between words , identifying them respectively by different strategies , presenting a new module of matching between strings and a new module of dependent intensity between words , constructing the tree of dependent relationship , pruning the constructed tree of dependent relationship and identifying some latent dependent relationship
摘要本文扩展和改进了现有的词语间依存关系定量识别算法，充分考虑词项概率分布的影响；明确区分词项之间的搭配关系、并列关系和从属关系，针对它们不同的特点，提出不同的识别算法；提出字串匹配模型；充分考虑两个词项之间相互位置的离散分布和距离的影响、以及它们的概率分布特性，提出词项间的依存强度模型，并据此构建词语间依存关系树；提出更新策略，对已经建好的依存关系树进行裁剪，并挖掘出潜在的依存关系。