Publication
Title
Anglicized Words and Misspelled Cognates in Native Language Identification
Author
Abstract
In this paper, we present experiments that estimate the impact of specific lexical choices of people writing in a second language (L2). In particular, we look at misspelled words that indicate lexical uncertainty on the part of the author, and separate them into three categories: misspelled cognates, "L2-ed" (in our case, anglicized) words, and all other spelling errors. We test the assumption that such errors contain clues about the native language of an essay's author through the task of native language identification. The results of the experiments show that the information brought by each of these categories is complementary. We also note that while the distribution of such features changes with the proficiency level of the writer, their contribution towards native language identification remains significant at all levels.
Language
English
Source (journal)
INNOVATIVE USE OF NLP FOR BUILDING EDUCATIONAL APPLICATIONS
Source (book)
14th Workshop on Innovative Use of NLP for Building Educational, Applications, AUG 02, 2019, Florence, ITALY
Publication
Stroudsburg : Assoc computational linguistics-acl , 2019
ISBN
978-1-950737-34-5
Volume/pages
(2019) , p. 275-284
ISI
000521943400029
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 05.05.2020
Last edited 29.10.2024
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