本文選題：復句層次結構 + 標記隱現(xiàn)模式��； 參考：《華中師范大學》2017年碩士論文

【摘要】：中文信息處理作為計算語言學的一個分支,在人工智能、搜索引擎等互聯(lián)網技術飛速發(fā)展的今天顯得越來越重要。漢語的使用范圍也隨著中國在國際上的影響力逐漸擴大,而漢語復句作為漢語語言的重要組成部分,已經成為計算機解決的核心對象,也是目前中文信息處理的研究難點之一。目前,對復句的研究主要包括關系標記的自動標識、分句和非分句的判斷、復句層次的自動劃分和復句關系的識別。其中,關系標記的自動標識和分句劃分已經有了較多的研究,而復句層次的自動劃分和關系識別研究較少。鑒于關系標記的自動標識技術已經基本成熟,且關系標記本身具有標明復句層次結構和分句間邏輯語義的作用,因此,在對復句的層次結構進行分析時也要緊緊抓住關系標記這一重要形式標志。然而,由于漢語表達方式的多樣性,分句內總會出現(xiàn)關系標記的缺省,即關系標記的隱現(xiàn),這就導致僅僅依靠關系標記實現(xiàn)復句層次的識別困難重重。為此,本文采取“分而治之”的策略,將研究對象(三句式有標復句)分成充盈態(tài)和非充盈態(tài)兩種類型;同時,為解決標記缺省的問題,構建了標記配位類型表和標記隱現(xiàn)規(guī)則,實現(xiàn)對復句內的標記隱現(xiàn)模式的自動提取;另外,在復句的依存句法分析基礎上,提出了利用句法成分復現(xiàn)進行分句間關聯(lián)度的計算。最終通過構建基于標記隱現(xiàn)規(guī)則和關聯(lián)特征的復句層次結構識別模型,達到對復句的層次結構進行自動劃分的目的。本文的工作從以下幾個方面開展。首先,本文利用依存句法和標點符號對復句內的分句進行劃分;其次,在剔除偽分句的基礎上,對分句內的關系標記進行標注和提取,以期獲得復句的關系標記序列;然后,構建標記配位類型表,并在此基礎上提出了標記隱現(xiàn)模式確定算法,獲得給定復句的標記隱現(xiàn)模式;同時,在依存句法分析的基礎上,提出利用句法成分復現(xiàn)對分句間的關聯(lián)度進行計算的方法;最后,構建基于標記隱現(xiàn)規(guī)則和關聯(lián)特征進行復句層次結構判斷的模型,通過標記隱現(xiàn)規(guī)則對充盈態(tài)三句式有標復句的層次進行識別和分析,對于非充盈態(tài)三句式有標復句則利用關聯(lián)特征進行層次結構判斷。通過實驗,標記隱現(xiàn)模式獲得的正確率達91.5%,復句層次結構分析的正確率達90.6%。該結果表明,本文提出的方法對復句層次結構的分析是行之有效的。
[Abstract]:As a branch of computational linguistics, Chinese information processing is becoming more and more important with the rapid development of artificial intelligence, search engine and other Internet technologies. The scope of use of Chinese has gradually expanded with the international influence of China. As an important part of Chinese language, Chinese complex sentence has become the core object of computer solution and one of the difficulties in the research of Chinese information processing. At present, the research on complex sentences mainly includes the automatic identification of relational markers, the judgment of clauses and non-clauses, the automatic division of complex sentence levels and the recognition of complex sentence relationships. Among them, more research has been done on automatic identification and clause division of relational markers, but less on automatic classification and relationship recognition of complex sentence levels. In view of the fact that the automatic identification technology of relational tags is basically mature, and that relational tags themselves have the function of indicating the hierarchical structure of complex sentences and the logical semantics between clauses, so, In the analysis of the hierarchical structure of complex sentences, we should also grasp the important formal mark of relational markers. However, due to the diversity of Chinese expressions, the default of relational markers, that is, the concealment of relational markers, always occurs in clauses, which leads to difficulties in realizing the recognition of complex sentence levels by only relying on relational markers. In order to solve the problem of marking default, this paper adopts the strategy of "divide and conquer", and divides the research object into two types: filling state and non-filling state. In this paper, the label coordination type table and marker concealment rule are constructed to realize the automatic extraction of the marker concealment pattern in complex sentences, in addition, based on the analysis of the dependency syntax of complex sentences, the correlation degree between clauses is calculated by using syntactic component repetition. Finally, the hierarchical structure recognition model of complex sentence based on label hidden rule and association feature is constructed to achieve the purpose of automatic division of complex sentence hierarchy. The work of this paper is carried out from the following aspects. First of all, this paper uses dependency syntax and punctuation to divide the clauses in complex sentences. Secondly, on the basis of eliminating pseudo-clauses, we annotate and extract the relational markers in clauses in order to obtain the sequence of relational markers of complex sentences. On the basis of constructing the marker coordination type table, a new algorithm for determining the label hidden pattern is proposed to obtain the marker hidden pattern of a given complex sentence, and at the same time, on the basis of the analysis of dependent syntax, This paper proposes a method of calculating the correlation degree between clauses by using syntactic component repetition. Finally, a model for judging the hierarchical structure of complex sentences based on marker concealment rules and associated features is constructed. This paper identifies and analyzes the levels of marked complex sentences in three sentence types of filling state by the rule of marked concealment, and judges the hierarchical structure of three marked complex sentences of non-filling state of three sentences by using the correlation feature. The experimental results show that the correct rate of marker concealment pattern is 91.5% and the correct rate of complex sentence hierarchy analysis is 90.6%. The results show that the method proposed in this paper is effective in analyzing the hierarchical structure of complex sentences.
【學位授予單位】：華中師范大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP391.1

【參考文獻】

相關期刊論文 前10條

1 秦川;;復句關系的意象圖式——以系聯(lián)圖示為例[J];語文學刊;2015年14期

2 鄭曉曉;段雪璐;;現(xiàn)代漢語容認性讓步句的形式分類[J];忻州師范學院學報;2014年03期

3 趙舸;;漢語復句三分法與對外漢語教學淺談[J];邢臺學院學報;2014年02期

4 石翠;;依存句法分析研究綜述[J];智能計算機與應用;2013年06期

5 ;易混標點符號用法比較[J];新疆地方志;2012年04期

6 羅進軍;;有標假設復句的語義關系特征[J];華中師范大學學報(人文社會科學版);2012年05期

7 段瀟雪;;現(xiàn)代漢語語義角色研究述評[J];文教資料;2012年27期

8 鄭偉發(fā);;漢語句法分析研究綜述[J];信息技術;2012年07期

9 吳鋒文;;面向信息處理的“一標三句式”復句層次關系判定[J];北方論叢;2012年01期

10 吳鋒文;;面向信息處理的“二標三句式”復句層次關系判定[J];信陽師范學院學報(哲學社會科學版);2012年01期

相關博士學位論文 前1條

1 舒江波;面向中文信息處理的復句關系詞自動標識研究[D];華中師范大學;2011年

相關碩士學位論文 前2條

1 洪鹿平;漢語復句關系自動判定研究[D];南京師范大學;2008年

2 俞小娟;面向中文信息處理的漢語復句中書讀短語的自動識別研究[D];華中師范大學;2008年

，

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