The use of eye movement corpora in vocabulary research
The use of eye movement corpora in vocabulary research
Analysis of existing datasets of eye movements in reading is a valuable tool for vocabulary research because it allows researchers to examine word recognition in an authentic context. We argue that such secondary analysis is an important addition to new experimental studies and existing mega-studies because it examines word recognition in real text rather than in crammed conditions or in isolation. Corpora in which participants read long texts are particularly interesting because they provide rich material that can be better controlled for confounding variables, but a collection of small data sets can also be interesting because it contains more variation than is typically possible in a single study. We discuss the considerations to take into account when dealing with eye movement data in reading and urge colleagues to make their eye movement data available in the spirit of open science so that a larger database can be built more quickly.
Corpus, Eye movements, Megastudies, Vocabulary
Brysbaert, Marc
a382c4b4-bad3-4c11-ad1b-6b4307e980b1
Drieghe, Denis
dfe41922-1cea-47f4-904b-26d5c9fe85ce
April 2024
Brysbaert, Marc
a382c4b4-bad3-4c11-ad1b-6b4307e980b1
Drieghe, Denis
dfe41922-1cea-47f4-904b-26d5c9fe85ce
Brysbaert, Marc and Drieghe, Denis
(2024)
The use of eye movement corpora in vocabulary research.
Research Methods in Applied Linguistics, 3 (1), [100093].
(doi:10.1016/j.rmal.2023.100093).
Abstract
Analysis of existing datasets of eye movements in reading is a valuable tool for vocabulary research because it allows researchers to examine word recognition in an authentic context. We argue that such secondary analysis is an important addition to new experimental studies and existing mega-studies because it examines word recognition in real text rather than in crammed conditions or in isolation. Corpora in which participants read long texts are particularly interesting because they provide rich material that can be better controlled for confounding variables, but a collection of small data sets can also be interesting because it contains more variation than is typically possible in a single study. We discuss the considerations to take into account when dealing with eye movement data in reading and urge colleagues to make their eye movement data available in the spirit of open science so that a larger database can be built more quickly.
Text
Brysbaert & Drieghe (in press)
- Accepted Manuscript
Restricted to Repository staff only until 20 December 2025.
Available under License Other.
Request a copy
More information
Accepted/In Press date: 24 October 2023
e-pub ahead of print date: 20 December 2023
Published date: April 2024
Additional Information:
Publisher Copyright:
© 2023 Elsevier Ltd
Keywords:
Corpus, Eye movements, Megastudies, Vocabulary
Identifiers
Local EPrints ID: 483806
URI: http://eprints.soton.ac.uk/id/eprint/483806
ISSN: 2772-7661
PURE UUID: a47c1ca2-e9d7-460f-acc9-7eb3edb45c11
Catalogue record
Date deposited: 06 Nov 2023 18:04
Last modified: 10 Apr 2024 01:45
Export record
Altmetrics
Contributors
Author:
Marc Brysbaert
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics
