How much input do you need to learn the most frequent 9,000 words?

IF 1.3 Q2 LINGUISTICS
P. Nation
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引用次数: 81

Abstract

This study looks at how much input is needed to gain enough repetition of the 1st 9,000 words of English for learning to occur. It uses corpora of various sizes and composition to see how many tokens of input would be needed to gain at least twelve repetitions and to meet most of the words at eight of the nine 1000 word family levels. Corpus sizes of just under 200,000 tokens and 3 million tokens provide an average of at least 12 repetitions at the 2nd 1,000 word level and the 9th 1,000 word level respectively. In terms of novels, this equates to two to twenty-five novels (at 120,000 tokens per novel). Allowing for learning rates of around 1,000 word families a year, these are manageable amounts of input. Freely available "Mid-frequency Readers" have been created to provide the suitable kind of input needed.
你需要多少输入来学习最常用的9000个单词?
这项研究着眼于学习前9000个英语单词需要多少输入来获得足够的重复。它使用各种大小和组成的语料库来查看需要多少个输入符号才能获得至少12次重复,并满足9个1000单词族级别中的8个中的大多数单词。低于200,000和300万个标记的语料库大小分别在第2个1,000单词级别和第9个1,000单词级别提供了平均至少12次重复。就小说而言,这相当于2到25本小说(每本小说120,000代币)。考虑到一年大约1000个单词族的学习率,这些输入量是可控的。免费提供的“中频读卡器”已经创建,以提供所需的适当类型的输入。
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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来源期刊
CiteScore
2.20
自引率
15.00%
发文量
0
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