The Words that Count

Richard M. Chapman
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Abstract

Computer assisted discourse studies (CADS) undoubtedly offers great prospects in our attempts to observe and understand the use and social effects of language in context, but it does so with a caveat: we need to be constantly aware of our significant (and often implicit) assumptions when attempting to reach beyond electronically analysed masses of text into assessments of pragmatic (and so social) behaviour. This paper aims to remind us of the need for reflection on our most basic assumptions as we begin to make use of more complex and refined procedures and start to make more ambitious claims about what various corpora can show us. It is argued that concepts such as the word, tokens, types and frequency require constant re-evaluation, in particular when we are using data that have been extracted from their original textual (and so contextualized) sources in the creation of corpora. It is hoped that a small contribution can be made to the debate about the empirical approach to understanding language, perhaps in terms of methodologies to be utilized, the potential extent and limits of CADS, or in terms of presenting or interpreting the results and conclusions of published studies.
重要的话
计算机辅助话语研究(CADS)无疑为我们观察和理解语境中语言的使用和社会影响提供了巨大的前景,但它有一个警告:当我们试图超越电子分析的大量文本,进入语用(以及社会)行为的评估时,我们需要不断意识到我们重要的(通常是隐含的)假设。本文旨在提醒我们,当我们开始使用更复杂、更精细的程序,并开始对各种语料库可以向我们展示的内容做出更雄心勃勃的主张时,有必要反思我们最基本的假设。有人认为,单词、标记、类型和频率等概念需要不断重新评估,特别是当我们在创建语料库时使用从原始文本(因此上下文化)来源中提取的数据时。希望能够对理解语言的实证方法的争论做出一点贡献,也许是在使用的方法方面,CADS的潜在范围和局限性,或者在呈现或解释已发表研究的结果和结论方面。
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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