Skip to main navigation
Skip to search
Skip to main content
Northern Arizona University Home
Home
Profiles
Departments and Centers
Scholarly Works
Activities
Grants
Datasets
Prizes
Search by expertise, name or affiliation
The roles of suprasegmental features in predicting English oral proficiency with an automated system
Okim Kang, David Johnson
English
Research output
:
Contribution to journal
›
Article
›
peer-review
12
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'The roles of suprasegmental features in predicting English oral proficiency with an automated system'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Arts & Humanities
Suprasegmental Features
100%
Proficiency
71%
English People
41%
Language Assessment
38%
Intonation
25%
Filled Pause
19%
Non-native Speakers of English
19%
Speech Rate
17%
Suprasegmentals
16%
Non-native Speakers
16%
Computer Model
15%
Monologue
13%
Machine Learning
12%
Empirical Evidence
11%
Salient
10%
Prediction
9%
Social Sciences
English language
31%
official language
23%
evidence
8%
learning
6%
Group
5%