Spell checking in computer-assisted language learning: A study of misspellings by nonnative writers of German

Author: 
Date created: 
2005
Abstract: 

This thesis investigates spell checking in Computer-Assisted Language Learning. It analyzes nonnative misspellings and evaluates the performance of a generic spell checker. A total of 1027 unique misspellings were collected from 32 beginners and 16 intermediate university learners of German who worked on two different task types. CLASSY, a classification system for nonnative misspellings that has been developed for this thesis, is introduced. CLASSY categorizes misspellings along four taxonomies: competence vs. performance, linguistic subsystem, language influence, and target modification. Results show that 72% of the nonnative misspellings are competence-related rather than accidental typographical mistakes. Furthermore, the generic spell checker tested on the misspellings of this study corrects only 62% of them. The study also indicates that both proficiency level and task type influence the learners' misspellings and affect the spell checker's correction success. Finally, the thesis makes computational and pedagogical suggestions to enhance spell checking for foreign language writers.

Description: 
The author has placed restrictions on the PDF copy of this thesis. The PDF is not printable nor copyable. If you would like the SFU Library to attempt to contact the author to get permission to print a copy, please email your request to summit-permissions@sfu.ca.
Language: 
English
Document type: 
Thesis
Rights: 
Copyright remains with the author
File(s): 
Department: 
Department of Linguistics - Simon Fraser University
Thesis type: 
Thesis (M.A.)
Statistics: