Using glossaries to increase the lexical coverage of television programs

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bitstream:

http://scholarspace.manoa.hawaii.edu/bitstream/10125/66653/1/22_1_10125_66653_webb.pdf

bitstream_txt:

http://scholarspace.manoa.hawaii.edu/bitstream/10125/66653/2/22_1_10125_66653_webb.pdf.txt

collection:

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

contributor.author:

Webb, Stuart

date.accessioned:

2020-05-22T02:10:41Z

date.available:

2020-05-22T02:10:41Z

date.issued:

2010-04

description.abstract:

This study examined the extent to which glossaries may affect the percentage of known words (coverage) in television programs. The transcripts of 51 episodes of 2 television programs (House and Grey’s Anatomy) were analyzed using Range (Heatley, Nation, & Coxhead, 2002) to create glossaries consisting of the low-frequency (less frequent than the 3,000 word level) word families that were encountered 10 or more times in each program. The results showed that coverage of the glossaries was 1.31% for Grey’s Anatomy and 2.26% for House. This was greater than coverage of the 3,001–4,000 most frequent word families in both programs. The cumulative coverage including the glossaries at the 3,000 word level increased to 96.00% for House and 97.20% for Grey’s Anatomy. The findings indicate that glossaries have the potential to improve comprehension of television programs.

description.provenance:

Made available in DSpace on 2020-05-22T02:10:41Z (GMT). No. of bitstreams: 1 22_1_10125_66653_webb.pdf: 88780 bytes, checksum: dce574b2a1611c720dbbe3d522528951 (MD5) Previous issue date: 2010-04

endingpage:

221

identifier.doi:

10125/66653

identifier.issn:

1539-0578

identifier.uri:

http://hdl.handle.net/10125/66653

number:

1

publisher:

University of Hawaii National Foreign Language Resource Center Center for Language & Technology

rfl.topic:

Lexis

site_url:

/rfl/item/216

startingpage:

201

subject:

glossary television vocabulary coverage comprehension

title:

Using glossaries to increase the lexical coverage of television programs

type:

Article

type.dcmi:

Text

volume:

22