Using frequency lists to assess L2 texts

Studies of lexical richness fall into three main domains: the analysis of classical literature, the study of first language acquisition, and the study of second language acquisition. In the last-names, a variety of measures of lexical richness have been proposed and used, but the measures are often...

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Main Author: Bell, H. M.
Published: Swansea University 2003
Subjects:
410
Online Access:http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.636075
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spelling ndltd-bl.uk-oai-ethos.bl.uk-6360752015-03-20T05:33:02ZUsing frequency lists to assess L2 textsBell, H. M.2003Studies of lexical richness fall into three main domains: the analysis of classical literature, the study of first language acquisition, and the study of second language acquisition. In the last-names, a variety of measures of lexical richness have been proposed and used, but the measures are often seriously flawed in either design or interpretation. Recent studies have suggested that using text-analysis tools based on lexical frequency counts may be a useful contribution to the field. This thesis discusses the various methods of using frequency counts in this way, examining in details two particular measures: the Lexical Frequency Profile (Laufer and Nation, 1995) and Plex (Meara, 2001). My conclusions are that the use of lexical frequency data can provide a useful way of avoiding the problems associated with measures based n the type-token distinction and that the results can be presented in a straightforward and mathematical simple way. As a measure of lexical richness, Plex appears to be comparatively unproblematic, and a very useful development in this form of assessment. However, problems remain when this form of assessment is applied to the evaluation of the freely-produced language of learners. One reason for this is the difficulty of producing a frequency list which is appropriate to the situation of the learners.410Swansea University http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.636075Electronic Thesis or Dissertation
collection NDLTD
sources NDLTD
topic 410
spellingShingle 410
Bell, H. M.
Using frequency lists to assess L2 texts
description Studies of lexical richness fall into three main domains: the analysis of classical literature, the study of first language acquisition, and the study of second language acquisition. In the last-names, a variety of measures of lexical richness have been proposed and used, but the measures are often seriously flawed in either design or interpretation. Recent studies have suggested that using text-analysis tools based on lexical frequency counts may be a useful contribution to the field. This thesis discusses the various methods of using frequency counts in this way, examining in details two particular measures: the Lexical Frequency Profile (Laufer and Nation, 1995) and Plex (Meara, 2001). My conclusions are that the use of lexical frequency data can provide a useful way of avoiding the problems associated with measures based n the type-token distinction and that the results can be presented in a straightforward and mathematical simple way. As a measure of lexical richness, Plex appears to be comparatively unproblematic, and a very useful development in this form of assessment. However, problems remain when this form of assessment is applied to the evaluation of the freely-produced language of learners. One reason for this is the difficulty of producing a frequency list which is appropriate to the situation of the learners.
author Bell, H. M.
author_facet Bell, H. M.
author_sort Bell, H. M.
title Using frequency lists to assess L2 texts
title_short Using frequency lists to assess L2 texts
title_full Using frequency lists to assess L2 texts
title_fullStr Using frequency lists to assess L2 texts
title_full_unstemmed Using frequency lists to assess L2 texts
title_sort using frequency lists to assess l2 texts
publisher Swansea University
publishDate 2003
url http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.636075
work_keys_str_mv AT bellhm usingfrequencyliststoassessl2texts
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