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词联接
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  term connection
    A Study on Term Connection Oriented NLP Technique and Its Applications
    基于词联接的自然语言处理技术及其应用研究
短句来源
    Under the National Science Funded Project, Computer Aided Literature Creation Research-Poem, Ci, Ballad, Couplet (60173060, 2002-2004), this paper proposes and primarily constructs a Term Connection Technique for NLP (TCT for short), and further applies it in the Poetry Processing System (PPS for short).
    在国家自然科学基金项目“计算机辅助文学艺术创作研究——诗词曲联”(60173060,2002~2004)的支持下,在深入分析NLP技术背景的基础上,本文提出并初步构建了基于词联接的NLP技术(Term Connection Technique for NLP,简称TCT),并应用到诗词语言处理系统(Poetry Processing System,简称PPS)中。
短句来源
    This paper presents a semantic representation approach based on term connection samples.
    笔者提出一种基于词联接实例的语义表示方法。
短句来源
    This paper looks into the research object,poetic language,strongly recommends and carefully proves poetry stylistic analysis technique based on term connection with supports of NLP technique as the background.
    本文以诗词语言为具体研究对象,以基于词联接的自然语言处理技术为技术背景,着重介绍并验证基于词联接的诗词风格评价技术。
短句来源
    Both theories and experiments confirm us that commonness exceeds individuality concerning poetry stylistic analysis,and therefore poetry stylistic analysis technique based on term connection is valid in evaluating poetry stylistics.
    结果表明,人的诗词风格评价共性大于个性,基于词联接的诗词风格评价技术能够有效地评价诗词风格。
短句来源
  term connections
    Principles and algorithm of semantic analysis based on term connections
    基于词联接的语义分析原理及其算法
短句来源
    Semantic Representation Approaches and Corpus Construction Based on Term Connections
    基于词联接的语义表示方法和知识库建设
短句来源
    Poetry Stylistic Analysis Technique Based on Term Connections
    基于词联接的诗词风格评价技术
短句来源
    This paper presents a semantic analysis approach and corresponding algorithms based on term connections.
    笔者提出了一种基于词联接的语义分析方法。
短句来源
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  term connection
This implies a long-term connection between the amplitude of mid-term quasi-periodicities and the solar dynamo strength.
      
Although the underlying network protocols are not connection-oriented, we use the term connection as a programming metaphor inside the environment.
      
Although the underlying network protocols are not connection oriented, we use the term connection as a programming metaphor inside the environment.
      
Customers may then develop a long-term connection with a product that they have sampled at the place of its origin.
      
Modification of the long-term connection weights of surviving context sets during presentation and recall causes them to become even better matches.
      
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  term connections
The end of the Famennian and the beginning of the tournaisian were indicated by smaller differences due to short-term connections of the basins which lie in different climatic belts.
      
We have investigated the possibility of making long-term connections to the central nervous system with microelectrodes.
      
Monkeys have been implanted with arrays of intracortical electrodes for periods of up to 37 months, indicating that long-term connections to the nervous system are possible.
      
Our second application, Netscape Navigator, generates HTTP traffic which most often takes the form of a series of short-term connections.
      


The current Natural Language Processing (NLP) means is chiefly grounded on the principle of language rules' description pattern, which lacks comprehensive semantic representation capability, and therefore it can not efficiently process the real texts in the layer of semantic meaning. This paper presents a semantic representation approach based on term connection samples. This method promotes the idea of describing fundamental language samples, and can analyze comprehensive semantic representations. So far it...

The current Natural Language Processing (NLP) means is chiefly grounded on the principle of language rules' description pattern, which lacks comprehensive semantic representation capability, and therefore it can not efficiently process the real texts in the layer of semantic meaning. This paper presents a semantic representation approach based on term connection samples. This method promotes the idea of describing fundamental language samples, and can analyze comprehensive semantic representations. So far it has been applied in project CAPC (Computer Aided Poetry Composing) funded by the Chinese Natural Science Foundation.

现有自然语言处理方法主要采取描述语言规律的基本思路,缺乏全面的语义表示能力,因此不能从语义层面有效处理各种类型的真实文本。笔者提出一种基于词联接实例的语义表示方法。该方法采取描述底层语言实例的基本思路,具有全面的语义表示能力,目前已应用于国家自然科学基金资助的"计算机辅助文学艺术创作研究———诗词曲联"项目。

The present natural language processing (NLP) methods mainly employ bottom-up language analysis ways, which have only limited semantic analysis capabilities. Therefore it is impossible to carry out semantic processing for large amounts of real texts. This paper presents a semantic analysis approach and corresponding algorithms based on term connections. The approach has rooted in semantics based on term connections and taken a major sentence cut-in, bottom-up semantic analyzing process. The main algorithm is...

The present natural language processing (NLP) methods mainly employ bottom-up language analysis ways, which have only limited semantic analysis capabilities. Therefore it is impossible to carry out semantic processing for large amounts of real texts. This paper presents a semantic analysis approach and corresponding algorithms based on term connections. The approach has rooted in semantics based on term connections and taken a major sentence cut-in, bottom-up semantic analyzing process. The main algorithm is to find the optimal sentence tree based on the semantic meaning conformity of term connections. So far, this approach has been applied in project CAPC (Computer Aided Poetry Composing) funded by the Chinese Natural Science Foundation.

现有自然语言处理方法主要采取自下而上的由词到句、由句到篇的语言分析过程,而且语义分析能力有限,因此难以对大规模真实文本进行语义处理。笔者提出了一种基于词联接的语义分析方法。该方法以词联接的语义知识为基础,采取整句切入、先下后上的语义分析过程,核心算法是句子最优树搜索和词联接语义符合度计算。目前该方法已应用于国家自然科学基金资助的计算机辅助诗词创作研究项目。

Literary language processing deserves its due attention in the current research atmosphere of Natural Language Processing(NLP).Since poetry fully reveals literary language features such as vividness,sensibility and individuality,it is the appropriate start-point in NLP.Stylistic analysis thus contributes as an important task in literary language processing with lots of challenges.This paper looks into the research object,poetic language,strongly recommends and carefully proves poetry stylistic analysis technique...

Literary language processing deserves its due attention in the current research atmosphere of Natural Language Processing(NLP).Since poetry fully reveals literary language features such as vividness,sensibility and individuality,it is the appropriate start-point in NLP.Stylistic analysis thus contributes as an important task in literary language processing with lots of challenges.This paper looks into the research object,poetic language,strongly recommends and carefully proves poetry stylistic analysis technique based on term connection with supports of NLP technique as the background.Further more,the corresponding algorithm is proposed and questionnaires are applied to evaluate poetry stylistics in surveys.Both theories and experiments confirm us that commonness exceeds individuality concerning poetry stylistic analysis,and therefore poetry stylistic analysis technique based on term connection is valid in evaluating poetry stylistics.

在当前自然语言处理的研究状况下,文学语言处理应当受到足够的重视。诗词艺术集中体现了文学语言的形象性、情感性、个性等特征,是文学语言处理研究很好的切入点。风格评价是文学语言处理的重要课题,极具挑战性。本文以诗词语言为具体研究对象,以基于词联接的自然语言处理技术为技术背景,着重介绍并验证基于词联接的诗词风格评价技术。提出了计算方法,设计了诗词风格评价问卷调查实验。结果表明,人的诗词风格评价共性大于个性,基于词联接的诗词风格评价技术能够有效地评价诗词风格。

 
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