屏幕上的创新

IF 1.6 2区 文学 0 LANGUAGE & LINGUISTICS
Susan A. Reichelt
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引用次数: 5

摘要

摘要本研究探讨了在电视剧本对话中标记词缀作为表征的可能线索。这里使用的数据是最新汇编的电视语料库,在北美英语语境中包含超过2.65亿个单词。最初的基于语料库的分析量化了词缀在整个语料库的单词形成过程中的创新使用,以便与下面的字符分析进行比较,该分析调查了衍生单词形成如何支持特定系列中的特征模式,吸血鬼杀手巴菲。为此,使用一系列富有成效的前缀(例如de、un-)和后缀(例如-y、-ish)来引出相关上下文。因此,该研究结合了两种方法来处理脚本环境中的单词形成过程。在很大程度上,它展示了衍生新词是如何在电视对话中传播的,在小得多的范围内,它强调了这些新词被用来帮助角色构建的特定例子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Innovation on screen
Abstract This study explores marked affixation as a possible cue for characterization in scripted television dialogue. The data used here is the newly compiled TV Corpus, which encompasses over 265 million words in its North American English context. An initial corpus-based analysis quantifies the innovative use of affixes in word-formation processes across the corpus to allow for comparison with a following character analysis, which investigates how derivational word-formation supports characterization patterns within a specific series, Buffy the Vampire Slayer. For this, a list of productive prefixes (e.g. de-, un-) and suffixes (e.g. -y, -ish) is used to elicit relevant contexts. The study thus combines two approaches to word-formation processes in scripted contexts. On a large scale, it shows how derivational neologisms are spread across TV dialogue and on a much smaller scale, it highlights particular instances where these neologisms are used to aid character construction.
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来源期刊
CiteScore
3.30
自引率
0.00%
发文量
43
期刊介绍: The International Journal of Corpus Linguistics (IJCL) publishes original research covering methodological, applied and theoretical work in any area of corpus linguistics. Through its focus on empirical language research, IJCL provides a forum for the presentation of new findings and innovative approaches in any area of linguistics (e.g. lexicology, grammar, discourse analysis, stylistics, sociolinguistics, morphology, contrastive linguistics), applied linguistics (e.g. language teaching, forensic linguistics), and translation studies. Based on its interest in corpus methodology, IJCL also invites contributions on the interface between corpus and computational linguistics.
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