亚洲免费av电影一区二区三区,日韩爱爱视频,51精品视频一区二区三区,91视频爱爱,日韩欧美在线播放视频,中文字幕少妇AV,亚洲电影中文字幕,久久久久亚洲av成人网址,久久综合视频网站,国产在线不卡免费播放

        ?

        Contrastive Analysis of Semantic Prosodies of “incur” and “induce”

        2018-01-01 00:00:00蒲林宴
        校園英語·月末 2018年5期

        【Abstract】Semantic prosody implies the speaker or writer’s stance and attitude towards certain entities or propositions. Using data-based approach, semantic prosodies of “incur” and “induce” are analyzed contrastively. Then, the semantic prosodic strengths of the two words are to be compared and contrasted.

        【Key words】semantic prosody; incur; induce; data-based approach; semantic prosodic strength

        I. Introduction

        Semantic prosody studies the “extended units of meaning” (Tognini-Bonelli, 2001) and semantic coloring among word chunks, which can indicate that something is good or bad. Semantic prosody can be classified under three categories: positive, neutral or mixed, and negative prosody (Stubbs, 1996). Semantic prosodic strength (Wei Li, 2014) is employed, which is a useful indicator to show the degrees of a certain category of semantic prosody for a node word.

        Intuitively, “incur” and “induce” are considered to be unpleasant or bad. This paper is to identify which one is more “gloomy” and negative by analyzing the collocations with them in the corpus.

        II. Research Method

        The corpus BAWE (British Academic Written English) and retrieval tool AntCont3.2.2 are used. And data-based approach is conducted to study the colligations of the two words. The specific procedure is as follows: 1) Extracting concordance lines. 2) Establishing the colligations. 3) Collecting and classifying the collocates. 4) Analyzing and contrasting semantic prosody.

        III. Semantic Prosodies of “incur” and “induce”

        The observed frequency of “incur” in BAWE is 41. There’s only one meaning for this word from the concordance. 40 colligation of “incur” is “V + N”, and one is “V + N + to + V*”. All the collocates can be roughly classified into 3 different categories according to their semantics:

        i. 22 out of 41 collocates of “incur” are the words connoting “cost”, “expenditure” or some ones alike.

        ii. 11 out of 41 collocates are words about physical and emotional state or change.

        iii. Other 8 collocates are involved with words or patterns from science and economic fields.

        “incur” are more frequently used with words relating to financial loss and unfavorable physical or emotional state or change. It’s obvious that majority of the collocates (88%) are negative words, so “incur” has a negative prosody.

        The observed frequency of “induce” in BAWE is 144. Three different meanings of “induce” are observed in the corpus: 1) “causing labour or birth” which is excluded in the analysis; 2) “persuade” and its colligation is “V + N + to + V*” whose frequency is 21 in BAWE; 3) “cause” and its colligation is “V + N” whose frequency is 122, and all its collocates can be classified into three distinct semantic categories:

        i. 60 collocates are words from natural sciences. 30 out of them are something negative. 5 have a positive and favorable sense. Other 25 are neutral.

        ii. 41 collocates are about economics or social science, 12 for negative, 10 for positive and 10 for neutral.

        iii. 21 collocates are about physical or emotional state and change. 15 of them are negative; 3 are close to good; other 3 are neutral.

        All in all, around 47% collocational words with “induce” have negative semantic coloring; 22% are positive or likeable words; and 31% are neutral. Thus, the semantic prosody of “induce” is negative.

        IV. Conclusion

        In sum, “induce” is much more frequently used than “incur”. “incur” is more often related to “causing financial loss”; while “induce” constantly appears in science and economic fields. Both “incur” and “induce” have a negative semantic prosody, but “incur” has a stronger negative prosodic strength than “induce”.

        References:

        [1]Naixing Wei,Xiaohong,Li.2014.Exploring semantic preference and semantic prosody across English and Chinese:Their roles for cross-linguistic equivalence.Corpus Linguistics and Ling.Theory.

        [2]Stubbs,M.1996.Text and Corpus Analysis.Oxford:Blackwell Publishers.

        [3]Tognini-Bonell,E.2001.Corpus Linguistics at Work.2Amsterdam and Philadelphia:John Benjamins.

        少妇人妻中文字幕在线| 艳妇乳肉豪妇荡乳av无码福利| 日本污视频| 久久精品人妻嫩草av蜜桃| 人妻制服丝袜中文字幕| 国产又色又爽又黄的| 亚洲日本va中文字幕久久| 无码中文字幕久久久久久| 国产一区二区三区男人吃奶| 久久精品国产99国产精偷| 国产精品免费久久久久软件| 97高清国语自产拍| 在线高清精品第一区二区三区| 亚洲香蕉av一区二区蜜桃| 24小时免费在线观看av| 中文人妻熟妇乱又伦精品| 国产精品调教| 国产成人色污在线观看| 岛国熟女精品一区二区三区| 久久久久波多野结衣高潮| 国产成人拍精品免费视频| 日本大片在线一区二区三区| 黄片大全视频在线播放| 日本熟妇色xxxxx欧美老妇| 日韩欧美在线观看成人| 中文字幕亚洲高清精品一区在线| 亚洲自偷自拍另类第1页| 18禁无遮挡羞羞污污污污网站| 国产码欧美日韩高清综合一区| 中文字幕亚洲在线第一页| 亚洲熟妇少妇任你躁在线观看无码 | 黑人一区二区三区啪啪网站| 美腿丝袜在线一区二区| 一本一道久久a久久精品综合| 人妻无码在线免费| 蜜桃视频在线在线观看| 少妇中文字幕乱码亚洲影视| 国产国产人精品视频69| 淫秽在线中国国产视频| 夜夜躁日日躁狠狠久久av| 亚洲男人天堂|