基于语料库的中国英语学习者反义词共现使用研究 [5]
论文作者:www.51lunwen.org论文属性:硕士毕业论文 thesis登出时间:2017-06-23编辑:lgg点击率:6518
论文字数:38547论文编号:org201706212057579006语种:英语 English地区:中国价格:$ 66
关键词:英语毕业论文反义词共现中国英语学习者语篇功能
摘要:本文是英语毕业论文,笔者怀疑,中国的英语学习者英语反义词同现的使用是如何。反义关系是一种语义关系,可以称为一种词汇衔接,从而使语篇连贯。
nbsp;relative frequency and raw frequency are both showed, then the author calculated a ‘bias’ of each pair by dividing the higher relative frequency by the lower one. Here, the raw frequency refers to the number of occasions a certain antonymous pair appears in SWECCL 2.0 registered as token in table 5.1, and the relative frequency is the times of the pair per 100,000 words in SWECCL 2.0. The specific way to calculate the relative frequency of each pair in WECCL and SECCL is to divide the raw frequency by 12 and 10 (the amount of the total words of the two sub-corpora of SWECCL 2.0 have been introduced in chapter 4.2). For instance, in table 5.1, we find that the antonyms difficult and easy co-occur (within a span of fifteen words) on 5 occasions in the written sub-corpus WECCL and on 4 occasions in the spoken sub-corpus SECCL of the SWECCL 2.0. Through calculating, we find that the relative frequencies of difficult/easy are 0.41(0.41 times per 100,000 words) and 0.40(0.40 times per 100,000 words) respectively in WECCL and SECCL. In other words, in relative terms, this pair co-occurs at a near rate in two sub-corpora. Actually, difficult/easy is very unusual, because no matter written language or spoken one, most pairs prefer either of which. For another example, right and wrong co-occur 3.92 times per 100,000 words in WECCL and 0.40 times per 100,000 words in SECCL, leading to a bias of 9.80 (3.92 divided by 0.40) toward written language. Supposing the sub-corpora can reflect our language in general, right/wrong could be concluded to be used 9.80 times more frequent in written language, compared to spoken language.
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Conclusions
This study is committed to looking into the situation of Chinese EFL learners’ use of antonym co-occurrence on the basis of corpus SWECCL 2.0, which is a rare and authoritative corpus about English spoken and written language of Chinese learners. The data of the written corpus comes from the English
essays of college students along four grades not only in English majors but also in non-English majors. And the data of spoken corpus is from TEM 4 and TEM 8. The focus of the present study is to explore the discourse function distribution of antonym co-occurrence on Chinese EFL learners, which is &nb
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