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摘要：本文是一篇商务英语论文，本文对特斯拉公司2010-2017年年报“风险因素”中使用的套期保值进行了研究，旨在找出在“风险因素”中使用了哪些套期保值。在此基础上，本文还研究了被广泛采用的模糊限制语，从年度报告中选取风险因素构建了语料库RFTCAR，并根据hylands模型对模糊限制语进行了识别。

Meaning Criteria and the Logic of FuzzyConcepts, the term hedge was first introduced by Lakoff (1972). He studiedStandard English on the aspects of spoken and written from the synchronic andnon-contrastive perspectives. He claimed that the function of hedges is to makemeanings fuzzier or less fuzzy based on the philosophy of language. He argued thatsemantic analysis of predicates was required in order to find out the logic of hedges.

In his article Fuzzy-Set – Theoretic Interpretation of Linguistic Hedges, Zadeh(1972) adopted the term hedge from Lakoff. He analyzed “slightly”, “technically”,“essentially” and “practically” as hedges in English language. He stated that on thefuzzy set hedges were operators representing the meaning of their operands. Hedgesvaried depending on their contexts.

Table 3-1: Ten constraints of Grand Strategy of Politeness by Leech (2005)

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CHAPTER THREE THEORETIC FRAMEWORK ....................20

3.1 Leech s Grand Strategy of Politeness............20

3.2 Hyland s classification of hedges...............24

CHAPTER FOUR RESEARCH METHODOLOGY.......................29

4.1 Data collection .........................29

4.2 Research methods ........................30

CHAPTER FIVE ANALYSIS OF HEDGES IN CORPUS RFTCAR...................36

5.1 Frequency and distribution of hedges in corpus RFTCAR............36

5.2 Analysis of different types of hedges in corpus RFTCAR ............39

CHAPTER FIVEANALYSIS OF HEDGES IN CORPUS RFTCAR

5.1 Frequency and distribution of hedges in corpus RFTCAR

According to Hyland s model, the frequency and distribution of hedges are presentedin this part.

Figure 5-1: Concordance of “to a large extent”

It is quite obvious to see the result of the hedging device (to a large extent) inFigure 5-1. This hedging device was used 13 times in corpus RFTCAR. By using thesame way, frequency of all the hedging devices in corpus RFTCAR can be calculated.

As illustrated in Table 5-1, there are totally 172,457 words in the “risk factors”.Based on Hyland s classification of hedges, there are 20,707 words that can be identified as hedges in corpus RFTCAR. Percentage of the hedges in corpus RFTCARis 12% which implies that the proportion of hedges in “risk factors” is pretty large.

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CHAPTER SIXCONCLUSION

6.1 Major findings

This thesis carries out a study about hedges used in the “risk factors” of TeslaCorporation s annual reports from 2010 to 2017. The study aims to find out whatkinds of hedges have been used in the “risk factors”. 本论文由英语论文网提供整理，提供论文代写，英语论文代写，代写论文，代写英语论文，代写留学生论文，代写英文论文，留学生论文代写相关核心关键词搜索。