Extensive reading for a 9,000-word vocabulary: Evidence from corpus modeling

Nov. 9, 2022, 11:52 a.m.
Nov. 22, 2022, 1:16 a.m.
Nov. 22, 2022, 1:16 a.m.
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Volume 34, No. 2
Green, Clarence
2022-10-14T22:26:45Z
2022-10-14T22:26:45Z
2022-10-15
This paper contributes to a research program within extensive reading (ER) and Reading in a Foreign Language using corpora to simulate ER input to develop vocabulary through incidental learning to 9,000 words. This helps researchers/teachers evaluate ER. If corpora indicate no ‘pathway’ from smaller to larger vocabulary sizes through authentic ER input, with vocabulary recurrence rates sufficient for incidental learning, then graded readers or other pedagogy appear essential. Studies offer different conclusions due to modeling issues. This study replicates previous research on a larger corpus of general fiction, with improved modeling. For every vocabulary size, a substantial amount of comprehensible fiction is found, with enough repetition of vocabulary from subsequent levels that pathways from smaller to larger vocabulary sizes are possible without graded readers. Prior estimates of approximately 3 years to acquire 9,000 words at 1 hour a day are underestimates, with modeling indicating 2 hours a day would be required.
248
Green, C. (2022). Extensive reading for a 9,000-word vocabulary: evidence from corpus modeling. Reading in a Foreign Language, 34(2), 232–248. http://hdl.handle.net/10125/67424
1539-0578
https://hdl.handle.net/10125/67424
2
Reading in a Foreign Language
University of Hawaii National Foreign Language Resource Center Center for Language & Technology
/rfl/item/555
232
extensive reading graded readers vocabulary acquisition coverage comprehension model comprehensible input incidental learning
Extensive reading for a 9,000-word vocabulary: Evidence from corpus modeling
Article
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