從語用學角度對英語新聞報道中的模糊語言研究_商務英語論文
文檔分類: 商務英語 文檔上傳會員:海于咸 上傳時間:2017-11-27
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Abstract

Fuzziness is an essential feature of human language. As a linguistic concept together with a linguistic phenomenon, fuzzy language embodies the uncertainty of the language at its extension. News report is believed to be accurate, brief and clear. However, such uncertainty is often set against the authenticity and accuracy of the news. In fact, in spite of this particular feature, news report are found to possess the nature of being fuzzy as well, which shows that news report are not exceptions of nature language. This analysis is based on news materials selected from official and well-known newspaper and news websites, seeking to demonstrate the necessity and importance of fuzzy language in news report and its pragmatic functions within the theoretical framework. This paper is aimed to illustrate that the usage of fuzzy language in news is avoidable, and its appropriate use can help to improve the quality of news report.

Key words: fuzzy language  news report  pragmatic function

摘 要

模糊性是人類語言的一個重要特征。模糊語言既是一種語言特征同時又是一種語言現象,它反映了客觀事物在外延上的一種不確定性。新聞報道應遵循三項原則,即內容準確、語言簡潔、句子清晰。事實上,英語新聞語篇作為一種特殊文體雖具有其自身特點,但要遵循自然語言的規律,不能與其相悖。本文運用定性分析從語用學角度對新聞報道中模糊語言進行分析和研究。語料全部取自于官方報紙和新聞網站。本文將說明模糊語言在新聞報道中的重要性和必要性,并闡述模糊語言在理論框架中所體現的語用功能。

關鍵詞:模糊語 新聞報道 語用功能

1 Introduction 
    As a type of public discourse, news report is produced under certain social conditions and background. While reporting the facts that happen recently by using the words properly, its primary function is to make the reader know well about the events that happened. There are a thousand Hamlets in a thousand people’s eyes.(Shakespeare) Also a single event can be quite differently reported to express the different points and attitudes of reporters. As a result, readers from different social background will produce quite different reactions about the facts. In this case, news report is aimed to convey the facts from an objective angle. To ensure a successful report with such a purpose, it can not avoid using fuzzy language.

 

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