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Characteristics of EFL Readers' Summary Writing

A Study with Korean University Students

Bibliographic Data

ID8936801
AuthorsSung‐Ae Kim (Pusan National University, corresponding author)
Year2001
Volume34
Issue6
Pages569-581
Publication date2001-11-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueForeign Language Annals (JOURNAL)
Journal identifiersISSN: 0015-718X • E-ISSN: 1944-9720
PublisherWiley (PUBLISHER • GB)
DOI10.1111/j.1944-9720.2001.tb02104.x
OpenAlexW1983553454
LanguageEN
Citations received9
References cited23

This study reports part of the findings of a study of Korean EFL students' skill in summarizing an English text. The participants were 70 freshmen who were assumed to possess the typical Korean EFL students' characteristics related to summary writing. The two English texts employed were expository texts taken from a college‐level ESL reading book. One of the texts ( i.e., Text A ) was assumed to be easier than the other ( i.e., Text B ) . Data gathered from two summaries were analyzed in terms of the content idea units included in the summary, the idea units on four importance levels, use of three summarization rules ( i.e., deletion, selection, and transformation ) , and accuracy. According to the results, the participants in this study were sensitive, though not fully, to importance. The most frequently used rule was the deletion rule, and the least frequently used rule was the transformation rule. Analysis of data also revealed that text difficulty can affect the summary writer's behavior Changes in the writers' behaviors due to text difficulty were noted in the proportion of content idea units included in the summary, the use of selection and transformation rules, and in the accuracy rate, but not in the use of the deletion rule or total rule use. Results indicate that Korean EFL students do not possess effective summarization skills and are in need of appropriate instruction and practice to improve these skills

Affect (linguistics · Automatic summarization · Linguistics · Mathematics education · Natural language processing · Reading (process · Reading comprehension · Selection (genetic algorithm · Artificial Intelligence · Communication · Computer Science · Discourse Analysis in Language Studies · EFL/ESL Teaching and Learning · Psychology · Writing and Handwriting Education

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Unique citing works9
Citations per year0.41
Citation span2004 - 2021 (18)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 7

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