语料库工具的比较-对比分析(以电影语篇语料库为例)

Nadezhda A. Shamova
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引用次数: 0

摘要

语料库技术的广泛应用表明其在应用语言学中的重要性。采用比较对比方法和计算机分析方法,作者试图对Sketch Engine、AntConc和WordSmith tools程序的主要语料库工具进行比较和对比,重点关注2019-2020年关于电影摄影的专业期刊“Total Film”和“American Cinematographer”的文本。这种比较的主要目的是为获取某些类型信息的工具和程序的最佳选择提供建议。作者使用Sketch Engine和AntConc中的“concordance”、“wordlist”、“collocations”+“word s etch”、“N-grams”、“keywords”功能(word - smith工具只有“concordance”、“wordlist”和“keywords”功能)对90多万字的文本总量进行了处理。关于各种语料库中可用的特定工具的信息被收集并呈现在一个专门开发的表格中。本文中描述的不同软件程序具有执行相同任务的功能,但在数据的表示方式上存在一些差异。在本案例研究的软件程序中,Sketch Engine平台为选择个人设置提供了最多的选项。“单词列表”功能显示给定列表中的所有单词,并记录其在语料库中的频率。“搭配”功能(或“单词蚀刻”)识别固定的表达式,“N-grams”功能查找包含一定数量元素的短语,而“关键字”功能允许用户识别特定主题领域的特定单词。从语料库中获得的信息可能有助于更新英语LSP词典和电影摄影词汇。本研究的理论意义在于将现有语料库工具的材料系统化,而其实际价值在于使用三个语料库程序的工具来研究电影话语,这里的理解是电影观众和电影制作人在专业期刊“Total Film”和“American Cinematographer”上讨论电影摄影时使用的语言。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Comparative-Contrastive Analysis of Corpus Tools (Case Study: Working with Corpora of Cinematic Discourse)
A broad scope of application of corpus technologies indicates their importance in applied linguistics. Employing the comparative-contrastive method and the method of computer analysis, the author seeks to compare and contrast the main corpus tools of the programs Sketch Engine, AntConc, and WordSmith Tools, focusing on texts from specialized periodicals about cinematography ‘Total Film’ and ‘American Cinematographer’ for 2019–2020. The primary goal of this comparison is to provide recommendations for optimal choice of tools and programs for obtaining certain types of information. The author processed the total volume of texts that contained over 900,000 words, using the functions “concordance”, “word list”, “collocations” + “word s etch”, “N-grams”, “keywords” in Sketch Engine and AntConc (Word-Smith Tools has only “concordance”, “wordlist,” and “keywords”). Information about specific tools available in various corpora is collected and presented in a specially developed table. Different software programs described in the article have functions that perform the same tasks, but there are some differences in how data is presented. Among the software programs featured in this case study, the Sketch Engine platform gives the most options for choosing personal settings. The “concordance” function shows the word in context, “Wordlist” shows all the words on a given list with a record of their frequency in the corpus. The “collocation” function (or “word s etch”) recognizes fixed expressions, “N-grams” finds phrases that comprise a certain number of elements, while the “ eywords” function allows users to identify words that are specific to a particular subject area. Information thus obtained from the corpora may be helpful in updating English LSP dictionaries and glossaries of cinematography. The theoretical significance of the present study lies in systematizing the material about existing corpus tools, while its practical value is in using the tools of three corpus programs for the study of cinematic discourse, understood here as language used by the community of movie goers and filmmakers in their discussions of cinematography in specialized periodicals ‘Total Film’ and ‘American Cinematographer’.
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