1887
Volume 135, Issue 1
  • ISSN 0019-0829
  • E-ISSN: 1783-1490
USD
Buy:$35.00 + Taxes

Abstract

Abstract This paper presents an investigation into the extent to which the lexical choices made by learners of a second language (L2) are distinctive. It follows on from an earlier paper by the same authors in which a neural network was successfully trained to mark a set of texts produced by L2 learners to the same standard, within broad categories, as had been awarded by experienced human markers. For this present paper, we examined a set of L2 texts and searched them for unique lexical choices (‘lexical signatures’). The results suggest a possible explanation for the success of the neural-network trial, and may have some practical implications for determining the levels of achievement reached by L2 learners.

Loading

Article metrics loading...

/content/journals/10.1075/itl.135-136.04mea
2002-01-01
2019-12-05
Loading full text...

Full text loading...

References

  1. HOLMES, D.I.
    (1994) : Authorship attribution. Computers and the Humanities, 28 (2), 87-106.
    [Google Scholar]
  2. MEARA, P.M. , RODGERS, C. and JACOBS, G.
    (2000) : Computational assessment of texts written by L2 speakers. System, 28, 345-354.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/journals/10.1075/itl.135-136.04mea
Loading
  • Article Type: Research Article
This is a required field
Please enter a valid email address
Approval was successful
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error