《紅樓夢(mèng)》前80回中的把字句研究
本文選題:《紅樓夢(mèng)》把字句 切入點(diǎn):動(dòng)詞配價(jià)語(yǔ)法 出處:《四川師范大學(xué)》2012年碩士論文 論文類型:學(xué)位論文
【摘要】:現(xiàn)代漢語(yǔ)把字句是語(yǔ)法界備受關(guān)注的語(yǔ)法課題之一。配價(jià)語(yǔ)法也是近些年研究的熱點(diǎn)課題。本文運(yùn)用配價(jià)語(yǔ)法研究《紅樓夢(mèng)》前80回把字句句式。 本文根據(jù)漢語(yǔ)把字句中動(dòng)核結(jié)構(gòu)數(shù)量的不同,將把字句分為單動(dòng)核把字句、雙動(dòng)核把字句和多動(dòng)核把字句。再根據(jù)動(dòng)詞配價(jià)語(yǔ)法來(lái)分析不同動(dòng)核組成的把字句。 根據(jù)上文的研究思路,本文將從以下三個(gè)部分來(lái)分析《紅》前80回中的把字句,內(nèi)容如下: 第一部分:即緒論部分,主要講了本文選題的目的和意義,本文研究的方法及理論依據(jù)。理論依據(jù)主要從四個(gè)方面來(lái)談:把字句研究綜述(把字句靜態(tài)和動(dòng)態(tài)研究)、動(dòng)詞的配價(jià)理論(動(dòng)詞“價(jià)”的性質(zhì)、配價(jià)的確定和“價(jià)”的分類)、動(dòng)核結(jié)構(gòu)、把字句和動(dòng)核結(jié)構(gòu)。 第二部分:對(duì)《紅》前80回把字句進(jìn)行分類研究,即第二章、第三章和第四章。首先根據(jù)把字句中動(dòng)核數(shù)量的不同,將《紅》中的把字句分為:?jiǎn)蝿?dòng)核把字句(第二章)、雙動(dòng)核把字句(第三章)和多動(dòng)核把字句(第四章),再分章進(jìn)行分析。由于能進(jìn)入《紅》前80回把字句的單動(dòng)核的動(dòng)詞有形容詞和動(dòng)詞,因此第一章我們將把字句分為:動(dòng)核為形容詞的單動(dòng)核把字句和動(dòng)核為動(dòng)詞的單動(dòng)核把字句!都t》中雙動(dòng)核把字句最多。由于主要?jiǎng)雍舜蠖酁閯?dòng)詞,因此根據(jù)把字句句式不同將之分為六類:雙動(dòng)核動(dòng)體式把字句、雙動(dòng)核動(dòng)結(jié)式把字句、雙動(dòng)核動(dòng)量式把字句、雙動(dòng)核動(dòng)介式把字句、雙動(dòng)核動(dòng)得式把字句和雙動(dòng)核動(dòng)賓式把字句。根據(jù)各個(gè)句式內(nèi)動(dòng)核價(jià)的不同再細(xì)分并分別進(jìn)行詳盡的分析。《紅》中多動(dòng)核把字句最少,主要是主要?jiǎng)釉~為二價(jià)的動(dòng)趨式多動(dòng)核把字句。 第三部分:結(jié)論。對(duì)《紅》前80回把字句中句式、動(dòng)詞配價(jià)、動(dòng)核結(jié)構(gòu)、主要?jiǎng)釉~和次要?jiǎng)釉~進(jìn)行總結(jié)。
[Abstract]:It is one of the most concerned grammatical topics in modern Chinese. The valence grammar is also a hot topic in recent years. This paper studies the sentence patterns of the first 80 sentences in A Dream of Red Mansions by using the valence grammar. In this paper, according to the difference of the number of verb kernel structure in Chinese Ba sentence, the sentence is divided into single action core, double action core and hyperactive kernel, and then according to the verb valency grammar, we analyze the word with different verb kernel. According to the above research ideas, this paper will analyze the first 80 chapters of "Red" from the following three parts, the contents are as follows:. The first part is the introduction part, which mainly talks about the purpose and significance of this paper. The research methods and theoretical basis of this paper. The theoretical basis is mainly discussed from four aspects: a summary of the study of sentences (static and dynamic studies of sentences), the theory of verb valency (the nature of the verb "valence"), The determination of valence and the classification of "valence", the structure of moving-nucleus, the structure of words and the structure of moving-nucleus. The second part: the classification of the first 80 sentences, namely, the second chapter, the third chapter and the fourth chapter. Firstly, according to the number of moving-nuclei in the sentence, The words and phrases in "Red" are divided into two parts: the monomeric word (chapter 2), the double-action kernel word sentence (chapter 3) and the hyperactive kernel word sentence (chapter 4). The verbs in the core are adjectives and verbs. So in the first chapter, we will divide the sentence into two parts: the monomorphic core with the core of the verb and the single core with the core as the verb. (< Red > > the double core is the most. Since the main core of the action is mostly a verb, Therefore, according to the different patterns of sentences, they can be divided into six categories: the double action nuclear type, the double action nucleus combination, the double action nucleus momentum, the double action nucleus and the medium type. According to the different values of the inner moving-kernels of each sentence, they are further subdivided and analyzed in detail respectively. In < Red >, the hyperactive kernels are the least. The main verb is the bivalent movement-trend hyperactivity core word. Part three: conclusion. Summarize the sentence structure, verb valency, moving-kernel structure, main verb and secondary verb in the first 80 chapters of "Red".
【學(xué)位授予單位】:四川師范大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2012
【分類號(hào)】:H146
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