Examining the Relationship Between Words and the Degree of Noun Bias
Keywords
No Thumbnail Available
Authors
Issue Date
2018-06-18
Language
nl
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
The degree of noun bias di ers between children. This project focused
on trying to uncover the di erences in word knowledge between children
with a weak degree of noun bias and children with a strong degree of noun
bias. By using data from Wordbank, which contains parent-completed
reports of the Communicative Development Inventory (CDI), di erent
random forest models and decision trees were created for four di erent
age groups: 16 to 19 months, 20 to 23 months, 24 to 27 months and 28
to 30 months. The random forests were used to see which words were
important for classifying if a child has a weak or strong degree of noun
bias. It was found that the classi cation worked quite well and that all of
the important nouns were indicative of a strong degree of noun bias and
all of the important verbs for a weak degree of noun bias. The decision
trees were simple and had a high accuracy when trained and tested with
the Wordbank data, but failed to get a high accuracy when tested on
CHILDES data, which is data that is collected during interactions with
children. This suggests that there is a relationship between words and the
degree of noun bias when the data that is used comes from CDI forms.
Description
Citation
Supervisor
Faculty
Faculteit der Sociale Wetenschappen