Volume 22, No. 1 Special Issue: In Honor of Paul Nation Learning about language and learners from computer programs

Learning about language and learners from computer programs

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http://scholarspace.manoa.hawaii.edu/bitstream/10125/66641/1/22_1_10125_66641_cobb.pdf
bitstream_txt:
http://scholarspace.manoa.hawaii.edu/bitstream/10125/66641/2/22_1_10125_66641_cobb.pdf.txt
collection:
Volume 22, No. 1 Special Issue: In Honor of Paul Nation
contributor.author:
Cobb, Tom
date.accessioned:
2020-05-22T02:10:34Z
date.available:
2020-05-22T02:10:34Z
date.issued:
2010-04
description.abstract:
Making Nation’s text analysis software accessible via the World Wide Web has opened up an exploration of how his learning principles can best be realized in practice. This paper discusses 3 representative episodes in the ongoing exploration. The first concerns an examination of the assumptions behind modeling what texts look like to learners with different levels of lexical knowledge; the second concerns approaches to handling proper nouns in text profiling within an international context; and the third involves the future of the Academic Word List as new frequency information appears to undermine its utility. Underlying these explorations is an argument that writing computer programs is a useful way to investigate language and language learning.
description.provenance:
Made available in DSpace on 2020-05-22T02:10:34Z (GMT). No. of bitstreams: 1 22_1_10125_66641_cobb.pdf: 96691 bytes, checksum: 310262393904ec5d8ea49daa5e0a2061 (MD5) Previous issue date: 2010-04
endingpage:
200
identifier.doi:
10125/66641
identifier.issn:
1539-0578
identifier.uri:
http://hdl.handle.net/10125/66641
number:
1
publisher:
University of Hawaii National Foreign Language Resource Center Center for Language & Technology
rfl.topic:
Methods and Materials
site_url:
/rfl/item/215
startingpage:
181
subject:
computer text analysis lexical frequency profiling (LFP) Range Vocabprofile (VP) Academic Word List (AWL) Vocabulary Levels Test text coverage frequency list learner modeling
title:
Learning about language and learners from computer programs
type:
Article
type.dcmi:
Text
volume:
22