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Semantic prosody, also discourse prosody, describes the way in which certain seemingly neutral words can be perceived with positive or negative associations through frequent occurrences with particular collocations. Similar to linguistic prosody. An example given by John Sinclair is the verb ''set in'', which has a negative prosody: e.g. ''rot'' (with negative associations) is a prime example of what is going to 'set in'.〔 〕 Another well-known example is the verb sense of ''cause'', which is also used mostly in a negative context (accident, catastrophe, etc.),〔Stubbs, M. (1996) 'Text and Corpus Analysis'. Oxford: Blackwell.〕 though one can also say that something "caused happiness".〔Stefanowitsch, Anatol and Stefan Th. Gries (2003), 'Collostructions: Investigating the Interaction of Words and Constructions.' In: ''International Journal of Corpus Linguistics 8:2'',pp. 209-243. 〕 In recent years, linguists have used corpus linguistics and concordancing software to find many hidden associations that lend nonneutral connotation to the usual or majority perception of verbal expression. The software is used to arrange key words in context from a corpus of several million words of naturally-occurring text. The collocates can then be arranged alphabetically according to first or second word to the right or to the left. Using such a method, Elena Tognini-Bonelli (2001) found that the word ''largely'' occurred more frequently with negative words or expressions, while ''broadly'' appeared more frequently with positive ones. Lexicographers have often failed to allow for semantic prosody when defining a word, although with the recent development and increasing use of computers, the field of corpus linguistics is now being combined with that of lexicography. ==See also== *Discourse analysis *Corpus linguistics 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Semantic prosody」の詳細全文を読む スポンサード リンク
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