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   语义计算 的翻译结果: 查询用时:0.452秒
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语义计算
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  semantic computation
     The evaluations in TREC data show that, the precision of text retrieval can be improved around 10% after using the two kinds of semantic computation technologies.
     利用TREC数据集进行的评测表明,采用了语义计算技术后,文本检索的准确率可以提高10%左右.
短句来源
     Semantic Computation for Text Retrieval
     面向文本检索的语义计算
短句来源
     Based on the above technologies, semantic computation is realized in some degree in text retrieval.
     以上工作在一定程度上实现了语义计算的功能.
短句来源
     The world ontology,domain ontology and domain knowledge text are fused to make up the knowledge base for semantic computation,and thus to drive a specific bank QA system.
     融合通用本体、领域本体和领域知识文本,构造了支持语义计算求解某一银行QA问题的知识库.
短句来源
     Introducing semantic computation into text retrieval is an important direction in the field of intelligent retrieval.
     将语义计算技术应用于文本检索,是智能检索的重要方向.
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  “语义计算”译为未确定词的双语例句
     Guided by the designing ideas of CIQAMS,we have designed a CMHSCCES(Chinese Modern History Sematic Comprehension and Computation Experiment System) to verify the functionality of the sematic comprehension and computation.
     作者基于CIQAMS的设计思想,实现了一个实验系统CMHSCCES(Chinese Modern History Sematic Comprehension and Computation ExperimentSystem)以验证CIQAMS的语义理解和语义计算
短句来源
     As a whole,speciality-hownet is built, by transfering speciality-hownet and sentence similarity computation into Chinese Q/A system,we proposes a CIQAMS(Chinese Intelligent Question Answer Model Based on Speciality-hownet),we have designed a speciality-hownet model to realize the understanding of semantic and similarity computation for speciality-key-words.
     将专业知网和句子语义相似度计算引入中文自动答疑系统,设计了一个基于专业知网的中文智能答疑系统模型CIQAMS(Chinese Intelligent Question Answer Model Based onSpeciality-Hownet),实现了对专业关键词的语义理解和语义计算,并在此基础上实现句子语义相似度计算和模糊匹配。
短句来源
     The result of Deep-seated Semantic Computing in whole Semantic Neural Network is a result of nature language understanding.
     在整个语义神经网络上深层语义计算的结果就是自然语言理解的结果。
短句来源
     5. The semantic of land-use type is expressed and the similarities between them are computed.
     5.表达了土地利用类型的语义,计算出了土地利用类型语义相似度;
短句来源
     Grounded on the ranking algorithm model for semantic computing, a retrieval experiment prototype system for English information is built.
     根据这一语义计算排名算法模型,建造一个英文信息检索实验原型系统。
短句来源
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  相似匹配句对
     We also give a new correction factor to simplify the calculation of the Unstatistic.
     的计算
短句来源
     Semantic Computation for Text Retrieval
     面向文本检索的语义计算
短句来源
     Extraction and semantic computing of Chinese textual time information
     中文文本时间信息获取及语义计算
短句来源
     Calculation of Skewed Plates
     斜板的计算
短句来源
     Semantic Come-back
     语义回归
短句来源
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  semantic computation
Despite their other similarities, the frameworks of Derivational Minimalism and Resource Logic differ in the method of semantic computation.
      
Semantic computation is guided by the derivation tree and consists of adding feature value equations to the descriptions.
      
It is proved that semantic computation is promising in novelty detection.
      
After semantic computation they are no longer relevant; they are not part of the semantic representations that finally get interpreted.
      
This approach works in the problematic cases and it has the advantage of using a well-defined operation, unification, for semantic computation.
      
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Functional object-oriented programming language FOPL is an intelligent integrated language which supports both functional programming style and object-oriented programming style.Its denotational semantics is described on a universal abstract space.Moreover,a call-by-value operational semantics to which the denotational semantics is computationally correspondent is discussed.

函数式面向对象程序设计语言FOPL,是笔者设计并实现的一种同时支持函数式程序设计和面向对象程序设计的合成型智能语言,本文在一个全称抽象域上描述了它的指称语义,进而讨论了一个和该指称语义计算一致的按值调用的操作语义。

natural language processing, temporal is an important situation . order to understand temporal situation in the text, this paper presents a hierarchical temporal semantic structure. The surface semantic structure formalizes the description of temporal situation: The deep semantic structure describes the dynamic attributes of temporal situation, and the charac- teristic of the event state in a given temporal situation. multilingual MT, with the hierarchi- cal temporal semantic structure, the temporal information...

natural language processing, temporal is an important situation . order to understand temporal situation in the text, this paper presents a hierarchical temporal semantic structure. The surface semantic structure formalizes the description of temporal situation: The deep semantic structure describes the dynamic attributes of temporal situation, and the charac- teristic of the event state in a given temporal situation. multilingual MT, with the hierarchi- cal temporal semantic structure, the temporal information and descriptive style can be recorded fully in analysis, and the source temporal information can be described in the same style in gen- aeration. On the other hand, a universal calculation method of the temporal semantics provided in this paper can localize the descriptions of temporal in all languages into the temporal axis. The temporal relationships among events in the text can be reasoned conveniently based on the tem- poral calculation . This structure simplified the semantic calculation of temporal situation in a complex Sentence as well .

在自然语言处理中,时间是一个重要的语境因素,为了真实反映并准确理解文本中的各级时间语境,本文提出了一种多层次时间语义表达结构,浅层语义结构是时间描述的量化表示,深层语义结构描述时间语境的动态时间属性和事件在给定时区内的状态特征。这样,在多语翻译中,借助这种时间语义表达结构,在分析时能完整记录时间描述信息及风格,在生成时可准确再现原时间量值及其描述风格。同时,本文提供通用的时间语义计算方法,将各语言的时间描述映射到时间轴上。从而准确刻划文本中各事件的时间相关性。这种多层次时间语义表达结构也使复句的时间语过计算变得简单。

In order that the probabilistic logic reasoning under uncertainty can be used for large scale knowledge base, this paper presents a clustering algorithm for decomposition of probabilistic logic formula set based on the general consistence assigning algorithm for probabilistic logic and the experience of developing the knowledge base in an practical expert system. It ensures that the united model of Dantzig Wolfe decomposition can be used for probabilistic logic reasoning on probabilistic logic knowledge...

In order that the probabilistic logic reasoning under uncertainty can be used for large scale knowledge base, this paper presents a clustering algorithm for decomposition of probabilistic logic formula set based on the general consistence assigning algorithm for probabilistic logic and the experience of developing the knowledge base in an practical expert system. It ensures that the united model of Dantzig Wolfe decomposition can be used for probabilistic logic reasoning on probabilistic logic knowledge base with different background, provided the formula set hold certain hierarchical structure. Experiments show that the algorithm performs successfully on instances with dozens of variables and clauses.

在自然语言理解中,时间是一个重要的语境因素.本文提出一种独立于句子表层形式的多层次时间语义结构,浅层语义结构是时间描述的量化语义表示,深层语义结构描述事件的动态属性和存在特征.该时间语义模型能表示时刻和时段,将时间基点明确区分为物理时间基点和说话者时间基点,并提供通用的时间语义计算方法,将各语言的时间描述映射到时间轴上.在该模型基础上,从语义观点出发,建立时、体的可计算模型及各事件时间相关性计算模型.

 
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