Summary information

Study title

Reading of Dutch homophonous verb forms in tweets - present tense

Creator

R.J.P.M. Chamalaun (Radboud University)
T. Schmitz (Radboud University)
M.T.C. Ernestus (Radboud University)

Study number / PID

doi:10.17026/dans-zt6-5bhs (DOI)

714140

easy-dataset:261582 (DANS-KNAW)

Data access

Information not available

Series

Not available

Abstract

This dataset includes Dutch participants' responses to an eye-tracking experiment. A total of 60 subjects, most of them bachelor's or master's students at Radboud University, participated in the experiment. The aim of the experiment was to investigate whether and to what extent the morphological principle facilitates the reading of morphologically complex words, such as Dutch homophonous verb forms. These verb forms sound identical, but are spelled differently, reflecting the difference in morphological structure. When the members of a homophone pair are interchanged, this is inaudible, but visible in spelling, with the spelling indicating an incorrect morphological structure.

To approach the natural reading situation as closely as possible, the focus is on reading for comprehension of natural language material, that is, the reading of Dutch tweets. The focus is on the homophone pair consisting of the first and third person singular present tense. In the experiment, the reading of a correctly-spelled member is compared with the reading of an incorrectly-spelled member of the same homophone pair.

Each participant was presented 320 tweets, of which 32 contained an incorrectly-spelled homophone form a target verb, and 32 contained an incorrectly-spelled homophone form of a target verb (just as they were originally posted on Twitter). Each participant was only presented with one verb form of a homophone pair.

Topics

Not available

Methodology

Data collection period

Not available

Country

Time dimension

Not available

Analysis unit

Not available

Universe

Not available

Sampling procedure

Not available

Kind of data

Not available

Data collection mode

Not available

Access

Publisher

DANS Data Station Social Sciences and Humanities

Publication year

2022

Terms of data access

Not available

Related publications

Not available