英语释义

1. a cyclone in the middle or high latitudes often containing a cold front that extends toward the equator for hundreds of miles

片语

degree of semantic similarity语义相似度

Semantic Similarity Computing语义相似度计算

Semantic Similarity Between Sentences语义相似度

Basic Semantic Similarity Dictionary基本语义相似

word semantic similarity measure词汇语义相似性度量

semantic similarity measure语义相似测度

semantic similarity degree语义相似度

semantic similarity computation语义相似度计算

semantic space similarity语境相似度

英汉例句

• by analyzing two traditional semantic similarity computation methods and modifying the problems in them, this paper puts forward a compositive method based on ontology.

  通过分析两种传统的语义相似度计算方法，对它们存在的问题进行改进，提出了一种综合的基于本体的概念语义相似度计算方法。

• the measurement of concept similarity is defined by semantic similarity and semantic distance.

  相似度的度量由语义相似度和语义距离来定义。

• test result shows that compared with traditional similarity model of word frequency, the weighted semantic similarity model improves the precision obviously.

  实验表明，本文提出的基于语义树的加权语义相似度模型与传统的词频相似度模型相比，準确率有明显提高。

• application of this model to document retrieval is discussed which includes two aspects: navigating browse and criteria query based on semantic similarity calculation.

  对模型在文献检索中的应用进行了初步探讨，包括两方面：导航浏览和基于语义相似度计算的条件查询。

• the present semantic similarity algorithms are analyzed and a hybrid similarity measure is proposed based on semantic distance and dynamic weight.

  分析了现有的概念相似度的算法，提出了基于语义距离和动态权重的混合概念间语义相似度算法。

• in this thesis, the sentence correlation is a weighted average of word correlation including semantic similarity and context correlation with key word.

  词语相关度包括了词语语义相似度和词语与语境核心词的语境关联度，并且考虑了词序因素。

• tcuss algorithm measures the document similarity by semantic similarity of concepts in concept lists, then clusters the document based on graph analysis, thus avoiding the restrict of clusters shape.

  tcu ss算法利用两个概念列表中单词间的语义相似度作为文档间相近程度的度量，并以图为基础进行聚类分析，避免有些聚类算法对聚簇形状的限制。

• semantic similarity is the crucial factor affecting the precision rate and recall rate of semantic information retrieval system.

  语义相似度是影响语义检索系统查準率和查全率的重要因素。

• the measure method of semantic similarity is proposed by taking advantage of the isa relationship of concepts in ontology.

  利用本体结构上的isa关系，提出了本体内部概念之间的相似度计算方法。

• the paper proposes a model of concept semantic similarity computation based on thesaurus and semantic distance, and describes its computation process in detail.

  提出基于叙词表、基于距离的概念语义相似度计算方法，详细叙述其计算流程。

• in this paper, factors that affect ontological semantic similarity are analyzed and quantified, and a distance-based semantic similarity calculation model for concepts is proposed.

  该文分析和量化了影响本体语义相似度的各种因素，并提出了一种基于距离的概念语义相似度计算模型。

• semantic similarity describes the degrees of similarity between two concepts.

  语义相似度是指概念之间自身语义的相似程度；

• combined with semantic similarity of text data, this paper gives a method of text data clustering based on semantic density.

  结合文本数据的语义相似度，给出一种基于语义密度文本数据聚类的方法。

• this paper puts forward an integrated method based on semantic similarity and semantic relevancy.

  提出了基于语义相似度和相关度的综合概念相似度计算方法。

• this paper introduces a scorm learning resource model for semantic similarity measurement, researching and integration of the scorm learning resources.

  提出了一种用于scorm学习资源语义相似度度量、搜索与整合的scorm学习资源模型。

• paralleled sentences with the adverb 「hai」 meaning 「in addition」 are characterized by their parallel and symmetric syntax, and semantic similarity in symmetric parts of paralleled structures.

  现代汉语表「补充增加」意义的副词「还」 ，其平行句式的特点是：句法结构平行对称，对应的结构成分语义上有类同性。

• 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。

• when generalizing patterns, semantic similarity of words and synonym extension are used to make the patterns more selective.

  模板泛化时，引入词汇语义相似度计算和同义词扩展，提高模板覆盖率。

• the traditional methods measure semantic similarity by computing semantic distance between nodes, which are difficult to ensure the accuracy of computation.

  传统的语义相似度计算方法大都利用结点间的语义距离来衡量，难以保证计算的準确性。

• semantic similarity computation is a key problem of information processing technology.

  语义相似度计算是信息处理技术中的一个关键问题。

• then the three parts can be integrated into the semantic similarity of two concepts.

  然后将三个相似度分量加权综合得到概念间的综合语义相似度。

• semantic similarity among geospatial entity classes is an important theoretic problem in categorical database generalization.

  地理空间实体类型语义相似度对于类型数据库综合具有重要理论意义。

• by calculating the semantic similarity of the context the misclassification rate can be reduced and the extraction accuracy can be improved.

  通过计算抽取模式的上下文之间的语义相似度可以降低模式聚类的错分率，提高词典内涵属性值抽取的準确率。

• the connection pattern between meanings formed on semantic similarity and cannot be separated from syntactic positions.

  词义之间的关联模式是在语义相似性的基础上形成的，并与句法位置分不开。