电视和电影语料库

IF 1.6 2区文学 0 LANGUAGE & LINGUISTICS International Journal of Corpus Linguistics Pub Date : 2021-02-09 DOI:10.1075/IJCL.00035.DAV

Mark Davies

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引用次数: 18

摘要

摘要:本文讨论了在englishcorpora.org网站上提供的电视语料库(7.5万集，3.25亿字，6个英语国家，20世纪50年代至2010年代)和电影语料库(2.5万部电影，2亿字，6个英语国家，20世纪30年代至2010年代)的创建和使用。该语料库在非正式性、词汇、短语和语法方面与BNC-Conversation数据进行了比较。但它们的总字数为5.25亿，是BNC-Conversation (BNC1994和BNC2014的总和)的30多倍，这意味着它们可以用来研究广泛的语言现象。电视和电影语料库还允许对不同时期的非常非正式的语言(包括20世纪30年代和后来的电影文本，以及20世纪50年代以后的电视节目文本)和英语方言(如英式英语和美式英语)进行有用的比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The TV and Movies corpora

Abstract This paper discusses the creation and use of the TV Corpus (subtitles from 75,000 episodes, 325 million words, 6 English-speaking countries, 1950s-2010s) and the Movies Corpus (subtitles from 25,000 movies, 200 million words, 6 English-speaking countries, 1930s–2010s), which are available at English-Corpora.org. The corpora compare well to the BNC-Conversation data in terms of informality, lexis, phraseology, and syntax. But at 525 million words in total size, they are more than 30 times as large as BNC-Conversation (both BNC1994 and BNC2014 combined), which means that they can be used to look at a wide range of linguistic phenomena. The TV and Movies corpora also allow useful comparisons of very informal language across time (containing texts from the 1930s and later for the movies, and from the 1950s onwards for TV shows) and between dialects of English (such as British and American English).

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来源期刊

International Journal of Corpus Linguistics Multiple-

CiteScore

3.30

自引率

0.00%

发文量

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.