發(fā)布時(shí)間：2018-01-12 15:03

  本文關(guān)鍵詞：基于復(fù)雜網(wǎng)絡(luò)的漢語復(fù)句關(guān)系詞搭配依存語言網(wǎng)及其應(yīng)用研究　出處：《華中師范大學(xué)》2016年博士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 復(fù)雜網(wǎng)絡(luò) 依存關(guān)系 依存語言網(wǎng)絡(luò) 復(fù)句關(guān)系詞搭配 復(fù)句層次關(guān)系

【摘要】：復(fù)雜網(wǎng)絡(luò)(Complex Network)是從全局的視角來研究復(fù)雜系統(tǒng)的新方法,無論網(wǎng)絡(luò)的結(jié)構(gòu)有多復(fù)雜,其規(guī)模有多大,它都采用節(jié)點(diǎn)和邊兩大基本要素來研究復(fù)雜的網(wǎng)絡(luò)系統(tǒng)。復(fù)雜網(wǎng)絡(luò)已經(jīng)成為研究復(fù)雜性科學(xué)與復(fù)雜系統(tǒng)的強(qiáng)有力的工具,對復(fù)雜網(wǎng)絡(luò)的研究具有極強(qiáng)的交叉學(xué)科特征。目前,復(fù)雜網(wǎng)絡(luò)的研究、應(yīng)用不僅已滲透到數(shù)學(xué)、物理、計(jì)算機(jī)科學(xué)、化學(xué)、生物和工程技術(shù)等各個(gè)學(xué)科,而且已經(jīng)在社會(huì)、政治、軍事、醫(yī)藥、經(jīng)濟(jì)、管理和語言等各個(gè)層面、各個(gè)領(lǐng)域都得到了廣泛的應(yīng)用。依存分析方法的核心是依存關(guān)系,依存關(guān)系是一種句中詞對的二元關(guān)系,支配詞記為核心詞,被支配詞記為依存詞(dependent),它是依存文法的主要元素,通過對語言單位內(nèi)成分間的依存關(guān)系的分析來揭示其句法結(jié)構(gòu),反映的是語義上核心詞和依存詞間的依賴關(guān)系。人類語言是人們彼此交流、相互溝通的主要工具之一,它隨著人類的進(jìn)步也不斷進(jìn)化著,現(xiàn)在很多學(xué)者經(jīng)過大量研究表明：人類語言也是人類復(fù)雜系統(tǒng)中的一種復(fù)雜網(wǎng)絡(luò)。語言網(wǎng)絡(luò)作為復(fù)雜網(wǎng)絡(luò)的一種新的研究領(lǐng)域得到了迅速發(fā)展。本文的主要研究內(nèi)容包括：(1)本文先簡單介紹了現(xiàn)代漢語“復(fù)句關(guān)系詞本體知識庫”,然后采用復(fù)雜網(wǎng)絡(luò)的研究理論與研究方法對“復(fù)句關(guān)系詞本體知識庫”中的搭配關(guān)系詞進(jìn)行研究,抽取出其中的457個(gè)搭配關(guān)系詞構(gòu)建成一個(gè)現(xiàn)代“漢語復(fù)句關(guān)系詞搭配庫”(RWCDB)。(2)本文研究并提出了一種自動(dòng)識別多重有標(biāo)復(fù)句中搭配關(guān)系詞的二階段方法。該方法的基本思想是先采用“基本準(zhǔn)則識別法”,對復(fù)句中關(guān)系詞的搭配特征信息進(jìn)行基本識別,初步判別兩個(gè)關(guān)系詞能否形成搭配關(guān)系：然后對于復(fù)雜搭配類,再采用第二階段的“樹圖”識別法對該復(fù)雜搭配類關(guān)系詞的搭配關(guān)系進(jìn)行處理和識別。(3)在RWCDB的基礎(chǔ)上,采用計(jì)算機(jī)軟件技術(shù)自動(dòng)轉(zhuǎn)換構(gòu)建出一個(gè)具有457個(gè)漢語復(fù)句關(guān)系詞節(jié)點(diǎn)的現(xiàn)代“漢語復(fù)句關(guān)系詞搭配語言網(wǎng)絡(luò)”,并研究了該搭配語言網(wǎng)絡(luò)的“小世界效應(yīng)”和“無標(biāo)度特征”。(4)在“漢語復(fù)句關(guān)系詞搭配語言網(wǎng)絡(luò)”的基礎(chǔ)上,采用依存分析方法,從漢語復(fù)句關(guān)系詞搭配的本體角度,對漢語復(fù)句關(guān)系詞搭配語言網(wǎng)絡(luò)進(jìn)行分析、研究,由于現(xiàn)代漢語復(fù)句關(guān)系詞搭配關(guān)系的有向性,實(shí)際上它們體現(xiàn)的是搭配關(guān)系詞之間的一種依存關(guān)系,即它們是前呼關(guān)系詞與其后應(yīng)關(guān)系詞之間的相互依存關(guān)系。所以本文構(gòu)建的漢語復(fù)句關(guān)系詞搭配語言網(wǎng)絡(luò),實(shí)際上是一種“漢語復(fù)句關(guān)系詞搭配依存語言網(wǎng)絡(luò)”。本文對“漢語復(fù)句關(guān)系詞搭配依存語言網(wǎng)絡(luò)”的依存路徑長度特征、平均依存路徑長度特征、依存度特征、平均依存度特征和依存聚集特征、平均依存聚集特征進(jìn)行詳細(xì)研究,并得到一系列相關(guān)的基本依存特征值。(5)本文先在分析“依存路徑長度值”的基礎(chǔ)上,研究出“依存路徑長度準(zhǔn)則”,然后在該準(zhǔn)則的基礎(chǔ)上,研究出“基于依存路徑長度準(zhǔn)則的漢語復(fù)句關(guān)系詞搭配關(guān)系自動(dòng)識別方法”,設(shè)計(jì)出“基于依存路徑長度準(zhǔn)則的漢語復(fù)句關(guān)系詞搭配關(guān)系自動(dòng)識別算法”,開發(fā)出“基于依存路徑長度準(zhǔn)則的漢語復(fù)句關(guān)系詞搭配關(guān)系自動(dòng)識別軟件”。為了驗(yàn)證該軟件的有效性,從CCCS語料庫中挑選出1000條有標(biāo)復(fù)句進(jìn)行實(shí)驗(yàn),實(shí)驗(yàn)結(jié)果該軟件運(yùn)行的正確率達(dá)到90%以上。本文的研究有助于提高網(wǎng)絡(luò)搜索引擎的查全率、查準(zhǔn)率和搜索的速度,有助于提高機(jī)器翻譯的水平,有助于促進(jìn)計(jì)算語言學(xué)和中文信息處理的研究與發(fā)展,有助于提高我國中小學(xué)的漢語教學(xué)和對外漢語教學(xué)的水平。本文研究成果的直接作用是為計(jì)算機(jī)識別并處理復(fù)句的層次關(guān)系奠定基礎(chǔ),為人們進(jìn)一步深入研究計(jì)算機(jī)自動(dòng)識別復(fù)句和漢語篇章的重大難題奠定研究基礎(chǔ)。本文研究內(nèi)容均屬于理科、工科和文科三個(gè)學(xué)科的交叉性內(nèi)容,所以本文的研究內(nèi)容均為初探性。到目前為止,學(xué)術(shù)界還沒有發(fā)現(xiàn)相關(guān)的研究報(bào)道。
[Abstract]:The complex network (Complex Network) is a new method to study the complex system from a global perspective, regardless of the complexity of the network structure, its size, it has the nodes and edges of the two basic elements to study the complex network system. The complex network has become a powerful tool to study the complex science and complex the study of complex network has a strong interdisciplinary characteristics. At present, the study of complex networks, the application has not only penetrated into mathematics, physics, computer science, chemistry, biology and engineering technology and other disciplines, and has been in the social, political, military, medicine, economy, management and language etc. level, in various fields have been widely used. The core dependency analysis method is the dependency relation, dependency relation is two yuan of a sentence, dominated words as the core, dominated by words for word dependency (depend ENT), it is the main element of dependency grammar, to reveal its syntactic structure through the analysis of the dependency relation between components within the unit of language, reflects the semantic core words and dependency between words dependencies. Human language is for people to communicate with each other, one of the main tools to communicate with each other, it is with the progress of mankind the evolution, now many scholars after a large number of studies show that: a complex network of human language and human language network in complex systems. As a new research field of complex networks has been developing rapidly. The main research contents of this paper include: (1) this paper first introduces the modern Chinese "relationship ontology the knowledge base, research theory and research method and the complex network to research the relationship between the sentences ontology knowledge base" in the collocation of words, extracted 457 collocation of them The relationship between words to construct a "modern Chinese sentence collocation library" (RWCDB). (2) this paper presents a new automatic identification of multiple two stage method of word collocation of complex sentence. The basic idea of this method is first to use the "basic principles of identification method, the basic recognition of complex which word collocation feature information, determine the initial two words can form a collocation: then for complex collocation, the second stage of the" tree "method to identify the complex relationship between word collocation collocation types of processing and recognition. (3) on the basis of RWCDB, using computer software automatic conversion technology to construct a 457 Chinese conjunctions in complex sentences in modern Chinese sentence node collocation language network", and studies the collocation language network "small world effect and scale-free characteristics." (4 ) based on "Chinese sentence collocation language network", using the dependency analysis method, from the angle of ontology of Chinese sentence collocation, collocation of Chinese complex sentence language network analysis, research, because the modern Chinese sentence collocation relation to, they actually is the embodiment of a collocation the relationship between dependency relation between words, which are discussed of mutual dependency relation relations between words should be. So Chinese Conjunctions in complex sentences the collocation of language network, is actually a "Chinese complex sentence collocation language network". The "dependency path length characteristics of Chinese sentence collocation dependency language network", the average path length dependence characteristics, dependence characteristics, average dependence characteristics and accumulation characteristics of dependence, dependence on average accumulation characteristics in detail. The basic characteristics of dependency and obtains a series of related values. (5) firstly, based on the analysis of the "dependency path length", the "dependency path length criterion, and then based on this criterion, the" Chinese Conjunctions in complex sentences dependency path length rule collocation method for automatic identification based on the design of "Chinese Conjunctions in complex sentences dependency path length rule collocation algorithm of automatic recognition based on the" developed "Chinese Conjunctions in complex sentences dependency path length rule collocation automatic recognition software based on". In order to verify the validity of the software, from the CCCS corpus selected 1000 tag complex sentence experiment the experimental results, the accuracy of the software running above 90%. This study helps to improve the network search engine recall, precision and search speed, help to improve the machine translation The level of translation, help to promote the research and development of computational linguistics and information processing Chinese, help to improve the Chinese teaching in primary and middle schools in our country and the foreign language teaching level. The direct effect of the results of this study is to lay the foundation for the computer to recognize and deal with the hierarchy of complex sentences, which lays a foundation for further major problem people study computer automatic recognition of complex sentence and Chinese text. The contents of this paper are science, interdisciplinary content of three disciplines of engineering and liberal arts, so the research contents of this paper are preliminary. Up to now, the academic circles have not found related research reports.

【學(xué)位授予單位】：華中師范大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2016
【分類號】：H146

【相似文獻(xiàn)】

相關(guān)期刊論文 前10條

1 陳保亞;漢臺關(guān)系詞的相對有階分析[J];民族語文;1997年02期

2 孫蕾;關(guān)系詞與語言的自我中心性[J];外語學(xué)刊;2001年02期

3 肖升;胡金柱;姚雙云;吳鋒文;;關(guān)系詞搭配的聯(lián)列分析[J];寧夏大學(xué)學(xué)報(bào)(人文社會(huì)科學(xué)版);2009年06期

4 胡金柱;吳鋒文;李瓊;舒江波;;漢語復(fù)句關(guān)系詞庫的建設(shè)及其利用[J];語言科學(xué);2010年02期

5 陳保亞;臺佤關(guān)系詞的相對有階分析[J];語言研究;1997年01期

6 陳保亞;再論核心關(guān)系詞的有階分布[J];民族語文;1998年03期

7 陳保亞;漢臺關(guān)系詞雙向相對有階分析[J];語言研究;1998年02期

8 趙修江;;疑問詞、連接詞、關(guān)系詞專練[J];中學(xué)英語園地(初三版);2008年Z1期

9 謝奎金;;選擇關(guān)系詞十注意[J];高中生;2010年24期

10 周振香;;關(guān)系詞的用法[J];高中生;2013年27期

相關(guān)會(huì)議論文 前2條

1 胡金柱;沈威;杜超華;;基于規(guī)則的復(fù)句中的關(guān)系詞標(biāo)注探討[A];第三屆學(xué)生計(jì)算語言學(xué)研討會(huì)論文集[C];2006年

2 胡金柱;沈威;杜超華;羅進(jìn)軍;;基于渡越矩陣的復(fù)句關(guān)系詞自動(dòng)標(biāo)注初探[A];第三屆學(xué)生計(jì)算語言學(xué)研討會(huì)論文集[C];2006年

相關(guān)重要報(bào)紙文章 前1條

1 馬清華;義近:親屬關(guān)系詞必須滿足的意義條件[N];中國社會(huì)科學(xué)報(bào);2010年

相關(guān)博士學(xué)位論文 前4條

1 胡泉;基于復(fù)雜網(wǎng)絡(luò)的漢語復(fù)句關(guān)系詞搭配依存語言網(wǎng)及其應(yīng)用研究[D];華中師范大學(xué);2016年

2 舒江波;面向中文信息處理的復(fù)句關(guān)系詞自動(dòng)標(biāo)識研究[D];華中師范大學(xué);2011年

3 楊紅;現(xiàn)代漢語關(guān)系名詞研究[D];華中師范大學(xué);2013年

4 姚雙云;復(fù)句關(guān)系標(biāo)記的搭配研究與相關(guān)解釋[D];華中師范大學(xué);2006年

相關(guān)碩士學(xué)位論文 前10條

1 榮蕾;基于依存語法的漢語復(fù)句關(guān)系詞自動(dòng)標(biāo)識[D];華中師范大學(xué);2015年

2 丁彥;基于關(guān)系詞的漢語多重復(fù)句層次結(jié)構(gòu)的研究[D];華中師范大學(xué);2015年

3 黎琛;基于依存樹相似度計(jì)算的漢語復(fù)句關(guān)系詞自動(dòng)識別[D];華中師范大學(xué);2015年

4 王娜娜;基于語義文法的術(shù)語關(guān)系獲取方法研究[D];廣西師范大學(xué);2015年

5 宋林森;基于搭配強(qiáng)度的復(fù)句關(guān)系詞自動(dòng)標(biāo)識方法研究[D];華中師范大學(xué);2014年

6 金鑫;“一邊”類關(guān)系詞及其相關(guān)句式研究[D];華中師范大學(xué);2007年

7 向磊;基于決策樹的漢語復(fù)句關(guān)系詞自動(dòng)識別中規(guī)則挖掘方法研究[D];華中師范大學(xué);2014年

8 斯琴呼;關(guān)于阿魯科爾沁次土語親屬關(guān)系詞[D];內(nèi)蒙古大學(xué);2011年

9 沈威;基于渡越矩陣與語境計(jì)算模型的復(fù)句關(guān)系詞的自動(dòng)標(biāo)注[D];華中師范大學(xué);2007年

10 徐濤;復(fù)句關(guān)系詞自動(dòng)標(biāo)識中規(guī)則引擎的實(shí)現(xiàn)策略研究[D];華中師范大學(xué);2013年

，

本文編號：1414746