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Comparative evaluation of automated scoring of syntactic competence of non-native speakers
Klaus Zechner
, Su Youn Yoon
,
Suma Bhat
, Chee Wee Leong
Coordinated Science Lab
National Center for Supercomputing Applications (NCSA)
Educational Psychology
Social & Behavioral Sciences Institute
Siebel School of Computing and Data Science
Electrical and Computer Engineering
Research output
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peer-review
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Dive into the research topics of 'Comparative evaluation of automated scoring of syntactic competence of non-native speakers'. Together they form a unique fingerprint.
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Keyphrases
Non-native
100%
Feature-based
100%
Syntactic Competence
100%
Automated Scoring
100%
Three-class
66%
Grammar
66%
Part-of
66%
Tag Feature
66%
Assessment System
33%
High Correlation
33%
Evaluation Practice
33%
Grammatical Features
33%
Test Takers
33%
Spoken Language
33%
Scoring Model
33%
N-gram
33%
Feature Correlation
33%
Clause Type
33%
Spoken Proficiency
33%
English Practice
33%
Automatic Scoring System
33%
Proficiency Score
33%
Arts and Humanities
Proficiency
100%
Non-native speakers
100%
Part of speech
100%
Tag
100%
Expression
50%
Spoken Language
50%
Ngram
50%
Clause types
50%
English
50%
Computer Science
Comparative Evaluation
100%
Syntactics
100%
Assessment System
33%
High Correlation
33%
Assessment Practice
33%
Scoring System
33%
Spoken Language
33%