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漢語(yǔ)網(wǎng)絡(luò)人物稱謂的認(rèn)知分析

發(fā)布時(shí)間:2018-08-25 12:47
【摘要】:隨著網(wǎng)絡(luò)科技日新月異的發(fā)展,網(wǎng)絡(luò)已經(jīng)成為了人們認(rèn)識(shí)世界的一個(gè)重要窗口,而網(wǎng)絡(luò)語(yǔ)言也隨著網(wǎng)絡(luò)的廣泛使用而盛行起來(lái),并得到廣泛傳播。網(wǎng)絡(luò)語(yǔ)言已漸漸變成人們?nèi)粘S谜Z(yǔ)的重要組成部分,并且在電視劇、廣告、春晚以及新聞聯(lián)播中出現(xiàn),甚至近年來(lái)還出現(xiàn)在國(guó)家領(lǐng)導(dǎo)人的節(jié)日賀詞中。隨著網(wǎng)民的逐漸增多,對(duì)于網(wǎng)絡(luò)上各式網(wǎng)民的人物稱謂也盛行起來(lái),并逐步發(fā)展到現(xiàn)實(shí)社會(huì)人物事件中。然而目前對(duì)網(wǎng)絡(luò)人物稱謂的研究還集中在來(lái)源、分類及結(jié)構(gòu)等方面的分析,而關(guān)于網(wǎng)絡(luò)人物稱謂的認(rèn)知分析還相對(duì)較少。本研究以收集到的近年來(lái)相對(duì)熱門的180個(gè)網(wǎng)絡(luò)人物稱謂為基礎(chǔ),從認(rèn)知視角分析其構(gòu)成方式和使用特點(diǎn)。通過(guò)研究發(fā)現(xiàn),(1)從人物稱謂的來(lái)源看,主要通過(guò)六種渠道獲得:創(chuàng)造新詞;給舊詞增加新意;取諧音;從文學(xué)作品、電影、電視中吸取;從社會(huì)事件中獲取。從其構(gòu)詞方式看有縮略和合成兩種。(2)網(wǎng)絡(luò)人物稱謂構(gòu)成的認(rèn)知模式主要涉及隱喻和轉(zhuǎn)喻。涉及隱喻概念的網(wǎng)絡(luò)人物稱謂主要有PEOPLE ARE ANIMALS,PEOPLE ARE PLANTS,PEOPLE ARE COLORS,PEOPLE ARE HOMONYM等;涉及轉(zhuǎn)喻概念的網(wǎng)絡(luò)人物稱謂主要有PART OF BODY FOR PERSON,PROPERTY FOR PERSON,ACTION FOR PERSON,BELONGING FOR PERSON,INITIALISM FOR PERSON,MOVIE CHARACTERS FOR PERSON和EVENTS FOR PERSON;還有的網(wǎng)絡(luò)人物稱謂涉及隱喻和轉(zhuǎn)喻概念的結(jié)合。(3)涉及轉(zhuǎn)喻概念的網(wǎng)絡(luò)人物稱謂最多,有111個(gè),其次是隱喻概念,有61個(gè),最少的是隱轉(zhuǎn)喻概念的結(jié)合,只有8個(gè)。本研究得到的啟示是,從認(rèn)知視角研究網(wǎng)絡(luò)人物稱謂,有助于揭示人們?cè)诰W(wǎng)絡(luò)上對(duì)人物命名的認(rèn)知方式與規(guī)律,并透過(guò)認(rèn)知方式和規(guī)律進(jìn)一步揭示網(wǎng)民追求簡(jiǎn)潔和便利、追求娛樂(lè)性與自我減壓、追求創(chuàng)新、從眾以及仇富等心理特征。由于網(wǎng)絡(luò)發(fā)展迅速,更新快,以及時(shí)間精力有限,本文無(wú)法收集所有的網(wǎng)絡(luò)人物稱謂,也無(wú)法對(duì)所有的人物稱謂進(jìn)行逐一分析,只能對(duì)能收集到的語(yǔ)料加以分析。
[Abstract]:With the rapid development of network technology, the network has become an important window for people to understand the world. Internet language has gradually become an important part of people's daily language, and has appeared in TV dramas, advertisements, Spring Festival gala, news, and even in recent years in the national leaders' holiday messages. With the increasing number of Internet users, various types of Internet users' personal terms are also popular, and gradually developed into the real social events. However, at present, the research on online persona appellation is still focused on the analysis of source, classification and structure, while the cognitive analysis of Internet persona appellation is relatively rare. Based on 180 popular online appellations collected in recent years, this study analyzed their composition and usage from a cognitive perspective. It is found that (1) from the source of the appellation of characters, it is mainly obtained through six channels: creating new words; adding new meanings to old words; taking homophony; drawing from literature, movies and television; and obtaining from social events. There are two kinds of acronyms and syntheses in terms of their word-formation methods. (2) the cognitive models of network personas are mainly related to metaphor and metonymy. There are mainly PEOPLE ARE ANIMALS,PEOPLE ARE PLANTS,PEOPLE ARE COLORS,PEOPLE ARE HOMONYM and so on, which are related to metaphorical concepts. There are two types of metonymy: PART OF BODY FOR PERSON,PROPERTY FOR PERSON,ACTION FOR PERSON,BELONGING FOR PERSON,INITIALISM FOR PERSON,MOVIE CHARACTERS FOR PERSON and EVENTS FOR PERSON;, which involve the combination of metonymy and metonymy. (3) the network of metonymy is mostly involved in metonymy. There are 111, followed by metaphorical concepts, 61, and the least is the combination of metonymy, only 8. The enlightenment of this study is that it is helpful to reveal the cognitive ways and rules of people's naming on the Internet from the cognitive perspective, and to further reveal the Internet users' pursuit of simplicity and convenience through cognitive ways and rules. Pursuit of entertainment and self-decompression, pursuit of innovation, conformity and hatred of the rich and other psychological characteristics. Due to the rapid development of the network, rapid updating, and limited time and energy, this paper can not collect all the online address terms, nor can we analyze all of them one by one, and can only analyze the language data that can be collected.
【學(xué)位授予單位】:西華大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:H136

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