句子相似度计算在中文信息处理中有若非常广泛的应用。
The sentence similarity computing has been widely used in Chinese information processing.
在基于实例的机器翻译中，句子相似度计算是实例匹配的有效机制。
In example based machine translation, sentence similarity computing is an effective mechanism for example matching.
句子相似度计算在中文自然语言处理领域有着非常广泛的应用背景。
Sentence similarity computing has been widely used in the field of natural language processing.
对其进行适当的改进后，可适于多数需要计算句子相似度的应用领域。
After modified appropriately, it could be used in most fields using the computation of sentence semantic similarity.
本文在词语相似度计算的基础上重点研究了中文信息处理中的句子相似度。
In this thesis, similarity computing was studied and the emphasis is sentences similarity computation based on word similarity computation.
文中着重介绍了用于查找候选问题集的数据结构以及句子相似度的计算方法。
We introduce the data structure used to search for candidate question set and the method to compute sentence similarity in detail.
该方法与其他方法相比，描述句子的信息更加全面，从而使句子相似度计算更加准确。
Comparing to other sentence similarity computing methods, our method can fully describe the features of the sentence, and then we can get the more accurate result.
为同时提高信息检索的查全率和查准率，提出一种基于语义依存度的句子相似度改进算法。
It is a difficulty problem that how to improve the recall and the accuracy ratio simultaneously on information searching.
为了节约用户的时间，在返回给用户答案时，利用计算句子相似度的方法有效去掉重复或相近的答案。
In order to save the time of users, we discard the repetitive or similar answers by computing sentence similarity when the system returns the answers to the users.
针对专利文献专业术语相对较多、形式规范、语言严谨的特点，本文提出了一种基于伪lcs的句子相似度计算方法。
Aiming at the characteristics of patent documents, this paper presents a computing method of sentence similarity based on pseudo-LCS.
文中也给出了关于句子相似度的文本比对算法的计算机实现过程，并利用相关文本进行了测试，对所用的方法进行验证。
The paper also gives the achievement of text comparison algorithm based on sentence similarity on the computer. And then validate it with some relevant texts.
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.
本文提出一种新颖的方法，可以利用双语例句来帮助度量待翻译句子与例句的相似度。
In this paper, we present a novel approach, which makes use of the bilingual examples to measure the similarity of the source input sentence and the examples.
在基于实例的机器翻译（EBMT）的语句相似度研究中，确定谓语中心词以把握句子的整体结构是至关重要的。
It is necessary to grasp the main structure of the sentence through its predicate head for the sentence similarity calculation in EBMT.
句子间相似度的计算在自然语言处理的各个领域都占有很重要的地位，在多文档自动文摘技术中，句子间相似度的计算是一个关键的问题。
Sentence similarity computation is very important in all the fields of Natural Language Processing. In Multi-document Summarization Technology, sentence similarity computation is a key problem.
句子间相似度的计算在自然语言处理的各个领域都占有很重要的地位，在多文档自动文摘技术中，句子间相似度的计算是一个关键的问题。
Sentence similarity computation is very important in all the fields of Natural Language Processing. In Multi-document Summarization Technology, sentence similarity computation is a key problem.
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