Learning about language and learners from computer programs

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dc.contributor.authorCobb, Tom
dc.date.accessioned2020-05-22T02:10:34Z
dc.date.available2020-05-22T02:10:34Z
dc.date.issued2010-04
dc.description.abstractMaking 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.
dc.identifier.doi10125/66641
dc.identifier.issn1539-0578
dc.identifier.urihttp://hdl.handle.net/10125/66641
dc.publisherUniversity of Hawaii National Foreign Language Resource Center
dc.publisherCenter for Language & Technology
dc.subjectcomputer text analysis
dc.subjectlexical frequency profiling (LFP)
dc.subjectRange
dc.subjectVocabprofile (VP)
dc.subjectAcademic Word List (AWL)
dc.subjectVocabulary Levels Test
dc.subjecttext coverage
dc.subjectfrequency list
dc.subjectlearner modeling
dc.titleLearning about language and learners from computer programs
dc.typeArticle
dc.type.dcmiText
local.rfl.topicMethods and Materials
prism.endingpage200
prism.number1
prism.startingpage181
prism.volume22

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Volume 22, No. 1 Special Issue: In Honor of Paul Nation