Using text-based indices to predict perceptions of the lexical richness of short French, German, and Portuguese texts written by children: Technical report.
BLE-BLL
- Vanhove, Jan ORCID University of Fribourg
- 2019
Language teaching and learning
Human ratings
Lexical diversity
Lexical sophistication
Lexical richness
Predictive modelling
English
The primary goal of this project is to find out how well raters’ perceptions of the lexical richness of short German, French, and Portuguese texts written by children can be predicted from automatically computable (i.e., algorithmic) measures of lexical diversity and lexical sophistication and some other properties such as text length, and gain insight into how different lexical aspects of a text affect its perceived lexical richness. This report documents—in tedious detail—all the steps taken in the "Lexical richness" project so that it may serve as a point of reference common to all researchers working on this project and it can be referred to in research papers to avoid cramming them with all the tedious details involved in collecting, preparing and analysing the data.
- Faculty
- Faculté des lettres et des sciences humaines
- Department
- Département de plurilinguisme et didactique des langues étrangères
- Language
-
- English
- Classification
- Language, linguistics
- License
- License undefined
- Identifiers
- Persistent URL
- https://folia.unifr.ch/unifr/documents/309688
Statistics
Document views: 24
File downloads:
- IFM_technicalreport_using.pdf: 80