Classification of Speaking Proficiency Level by Machine Learning and Feature Selection
Classification of Speaking Proficiency Level by Machine Learning and Feature Selection
Brendan Flanagan,S. Hirokawa,Emiko Kaneko,Emi Izumi
2016 · DOI: 10.1007/978-3-319-52836-6_72
1 Citations
TLDR
The words and parts of speech of transcripts from different speaking proficiency levels found in the NICT-JLE corpus are classified to find a set of characteristic features that achieve optimal classification performance, which can be used to predict spoken learner proficiency.