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- The Parser checks both syntax and semantic analysis. 解析器检查语法和语义。
- semantical analysis based method 基于语义分析的方法
- The Difference between Syntactic-Semantic Parsing and Semantic Analysis of Sentences Category. 句法-语义分析和句类语义分析之间的区别。
- In our semantic analysis, EBC is shown to manifest a perfect match between syntax and semantics. 删除的过程受黄(1991b)中提到“方向性制约”的约束,在我们的语义分析中,可以看出,“显性比字句”表现出句法和语义完美搭配。
- Latent Semantic Analysis (LSA) is a theory and method of acquisition and representation of knowledge. 摘要潜在语义分析(LSA)是一种知识提取和表示的理论和方法。
- Of arithmetic expressions and assignment statements and generate semantic analysis of quaternion sequence. 对算术表达式和赋值语句进行语义分析并生成四元式序列。
- In addition, the most attentions in research of semantic analysis are mainly on the explanation of polysemy. 此外，以语义分析为中心的相关研究中，重点多半聚焦在其多义的解释上。
- Source language analysis is core of MT, and includes morphology analysis, parsing and semantic analysis. 源语分析是机器翻译的核心,包括词法分析、句法分析和语义分析。
- A new arithmetic based on Latent Semantic Analysis Model and domain ontology was proposed to summarize the document. 介绍了一种以潜语义分析模型为基础，辅之以领域本体的文档自动摘要算法。
- In this paper, we discuss a new method to effectively improve offline handwritten character recognition through semantic analysis. 论文讨论了一种通过自然语言语义层次的理解来协助提高脱机手写体识别率的方法。
- The coding process accomplishes accidence analysis, syntax analysis, and semantic analysis and transitional codes are generated on it. 译码过程完成词法分析、语法分析和语义分析,并在此基础上生成中间代码。
- In semantic analysis of a sentence, the basic unit is called predication, which is the abstraction of the meaning of a sentence. 对句子进行意义分析时，基本单位称为述谓，这是对句子意义的抽象化。
- This paper proposes that the semantic analysis be made exhaustive and scientific on condition that they are integrated in a systematic way. 在语义研究中只有将两者有机地结合起来，才能使意义分析更加完整。
- For semantics analysis there are Componential Analysis of Hjelmslev, Case Grammar of Fillmore, Semantics Network of Simmons etc. 在语义方面主要有Hjelmslev等的义素分析、Fillmore的格语法、Simmons等的语义网络等;
- This paper investigates how to identify utterance topics in spontaneous spoken dialogues based on some shallow semantic analysis. 摘要本文研究如何根据浅层的语义分析确定自然口语对话中的语句主题。
- In the beginning the generalization of semantic analysis formalizes the language, so to blur the self-referential characters of language. 最初的语义哲学的抽象化却把语言格式化了，从而使得语言的自我关涉特征模糊不清。
- Aimed at the main challenges of recommender system, this thesis based the research on the pLSA (probabilistic Latent Semantic Analysis) model. 针对上述问题，本文对基于模型的推荐算法进行了初步的探索，在前人工作的基础上，研究了基于概率隐含语义分析(probabilistic Latent Semantic Analysis; pLSA)在推荐系统中的应用和实现技术，取得的主要研究成果如下： 1.;通过对用户、社区、推荐对象三者相关关系的分析，发现了社区兴趣相对稳定的特点。
- According to the texts character, this method combines shallow parsing technology with deep parsing and semantic analysis technology. 根据领域文本的特点，该方法将浅层句法分析和深层句法语义分析结合在了一起。
- Semantic Analysis is the key of whether sentence processing can get breakthrough or not.Semantic Analysis has played such an important role in NLU. 语义分析是句处理阶段能否取得突破的关键，在自然语言理解中起着举足轻重的作用。
- NLP technique includes eight modules, such as segmentation, part-of speech tag, syntactic analysis and semantic analysis. 自然语言处理过程包括分词、词性标注、句法分析、语义分析等8大模块；
