对于早期语言习得的可靠研究,密集语料库应该有多大?

IF 0.1 Q4 LINGUISTICS CogniTextes Pub Date : 2019-06-17 DOI:10.4000/COGNITEXTES.1483
C. Parisse
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引用次数: 0

摘要

密集语料库是语言习得语料库研究的必要工具。尽管人们对它们很感兴趣,但它们还没有被经常使用,可能是因为它们的创建成本很高。本研究的目的是预测密集纵向语料库的最佳大小,用于人工或自动推断儿童语言词汇或句法发展的细节。结果表明,至少30到40个一小时记录的语料库是必要的,但使用相同协议的更长语料库提供的新信息很少。密集语料库确实非常有用,但不需要太大来研究语法发展。这对于可以优化的语料库构建项目具有重要的影响。大型语料库提供的信息量存在限制,这对语言学理论也有重要影响,因为这有助于确定学习固定形式和概括语言结构知识之间的界限。
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How large should a dense corpus be for reliable studies in early language acquisition ?
Dense corpora have been put forward as necessary tools for corpus studies of language acquisition. Despite their great interest, they are not yet frequently used, probably because of the high cost involved in their creation. The goal of the present study was to predict the optimal size of a dense longitudinal corpus when used to infer, manually or automatically, the details of lexical or syntactic development in child language. The results show that corpora of at least 30 to 40 one-hour recordings are necessary, but that longer corpora using the same protocol provide little new information. Dense corpora are indeed very useful, but do not need to be overly large to study grammatical development. This has important consequences for corpus-building projects, which can be optimized. The existence of a limit to the amount of information provided by large corpora also has important consequences for linguistic theory, as this helps locate the threshold between learning frozen forms and generalizing knowledge about language structure.
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CogniTextes
CogniTextes LINGUISTICS-
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审稿时长
25 weeks
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