基于数据处理的需要，在分析原有编辑距离算法的基础上，通过拓展交换操作减少编辑操作的数量。
Based on the requirement of data processing, after analyzing the existing algorithm of Levenshtein Distance, the number of edit operation was decreased by extending the transposition operation.
基于编辑距离和多种后处理的生物医学文献实体名识别方法通过“全称缩写对识别算法”扩充词典，利用编辑距离算法提高识别召回率。
In order to enhance the robustness of LTSA algorithm, an outlier detection method based on the improved distance is presented in this paper.
Lucene支持基于编辑距离算法的模糊搜索，你可以使用波浪符号“~”放在查询词的后面，比如搜索一个与“roam”拼写相近的词可以使用。
Lucene supports fuzzy searches based on the Levenshtein Distance, or Edit Distance algorithm. To do a fuzzy search use the tilde, "~", symbol at the end of a Single word Term.
Aspell算法的优势在于它利用编辑距离的方式，它在单词级别上和语音代码级别上都使用编辑距离。
The strength of the Aspell algorithm is the way it USES edit distance at both the word level and the phonetic code level.
设计一个算法，计算任意两个字符串的编辑距离。
Design an algorithm to calculate any two of the string edit distance.
基于此编辑距离，提出一种事件序列聚类算法SOEC。
Thereby a sequence of events clustering algorithm, shorted for SOEC, is proposed.
改进编辑距离的算法与单纯基于语义辞典计算句子相似度的算法相比，具有便于扩展，准确率高等优点，在英文辅助写作领域取得了令人满意的效果。
The approach of improved edit-distance has more advantages than original edit-distance algorithm, such as easily extending, high precision and so on. It has gotten a satisfying result.
改进编辑距离的算法与单纯基于语义辞典计算句子相似度的算法相比，具有便于扩展，准确率高等优点，在英文辅助写作领域取得了令人满意的效果。
The approach of improved edit-distance has more advantages than original edit-distance algorithm, such as easily extending, high precision and so on. It has gotten a satisfying result.
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