The sentence similarity computing has been widely used in Chinese information processing.
句子相似度计算在中文信息处理中有若非常广泛的应用。
Sentence similarity computing has been widely used in the field of natural language processing.
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。
In example based machine translation, sentence similarity computing is an effective mechanism for example matching.
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。
We divide the system into four main tasks: word segment and sentence segment, syntax analysis, keyword extraction and sentence similarity computing.
本文将阅卷过程分解为四个主要任务来进行的：分句分词、句法分析、关键词提取和相似度计算。
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.
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。
Aiming at the characteristics of patent documents, this paper presents a computing method of sentence similarity based on pseudo-LCS.
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。
Computing the semantic similarity of sentences by the method of cosine, eigenvalue come from the skeleton semantic clip, and the semantics of sentence expressed the vector space model.
用骨架语片做特征项，用空间向量模型表示文本语义，用语片的出现频度做语片权重，用余弦法计算文本间语义相似度。
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.
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.
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。
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