语料库查询的原则:讨论笔记

IF 0.5 3区 文学 0 LANGUAGE & LINGUISTICS
Bálint Sass
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引用次数: 1

摘要

目前,在语言学研究中,以数据为基础而非自省的现象十分普遍。有无数的语料库——包括原始的和有语言注释的——可供我们使用,它们提供了所需的基本数据。在大多数情况下,语料库都很大,从几百万字到几十亿字不等,显然不适合通过细读逐字研究。基本上,有两种方法可以从中检索数据:(1)通过查询接口或(2)直接通过自动文本处理。在这里,我们提出了如何通过查询,即在没有编程知识的情况下直接操作数据,从语料库中健全有效地收集语言数据的原则。什么是值得思考的,使用哪些工具,默认情况下做什么,以及如何解决有问题的情况。综上所述,如何从语料库中获得正确完整的数据来进行语言学研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Principles of corpus querying: A discussion note
Nowadays, it is quite common in linguistics to base research on data instead of introspection. There are countless corpora – both raw and linguistically annotated – available to us which provide essential data needed. Corpora are large in most cases, ranging from several million words to some billion words in size, clearly not suitable to investigate word by word by close reading. Basically, there are two ways to retrieve data from them: (1) through a query interface or (2) directly by automatic text processing. Here we present principles on how to soundly and effectively collect linguistic data from corpora by querying i.e. without knowledge of programming to directly manipulate the data. What is worth thinking about, which tools to use, what to do by default and how to solve problematic cases. In sum, how to obtain correct and complete data from corpora to do linguistic research.
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来源期刊
Acta Linguistica Academica
Acta Linguistica Academica Arts and Humanities-Literature and Literary Theory
CiteScore
1.00
自引率
20.00%
发文量
20
期刊介绍: Acta Linguistica Academica publishes papers on general linguistics. Papers presenting empirical material must have strong theoretical implications. The scope of the journal is not restricted to the core areas of linguistics; it also covers areas such as socio- and psycholinguistics, neurolinguistics, discourse analysis, the philosophy of language, language typology, and formal semantics. The journal also publishes book and dissertation reviews and advertisements.
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