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Download full textWan, Qian; Crossley, Scott; Allen, Laura; McNamara, Danielle – Grantee Submission, 2020
In this paper, we extracted content-based and structure-based features of text to predict human annotations for claims and nonclaims in argumentative essays. We compared Logistic Regression, Bernoulli Naive Bayes, Gaussian Naive Bayes, Linear Support Vector Classification, Random Forest, and Neural Networks to train classification models. Random…
Descriptors: Persuasive Discourse, Essays, Writing Evaluation, Natural Language Processing
Direct linkCrossley, Scott; Clevinger, Amanda; Kim, YouJin – Language Assessment Quarterly, 2014
There has been a growing interest in the use of integrated tasks in the field of second language testing to enhance the authenticity of language tests. However, the role of text integration in test takers' performance has not been widely investigated. The purpose of the current study is to examine the effects of text-based relational (i.e.,…
Descriptors: Language Proficiency, Connected Discourse, Language Tests, English (Second Language)
Crossley, Scott; McNamara, Danielle – Language Learning & Technology, 2013
This study explores the potential for automated indices related to speech delivery, language use, and topic development to model human judgments of TOEFL speaking proficiency in second language (L2) speech samples. For this study, 244 transcribed TOEFL speech samples taken from 244 L2 learners were analyzed using automated indices taken from…
Descriptors: English (Second Language), Language Proficiency, Language Tests, Speech Communication
Crossley, Scott; McNamara, Danielle – Grantee Submission, 2013
This study explores the potential for automated indices related to speech delivery, language use, and topic development to model human judgments of TOEFL speaking proficiency in second language (L2) speech samples. For this study, 244 transcribed TOEFL speech samples taken from 244 L2 learners were analyzed using automated indices taken from…
Descriptors: English (Second Language), Language Proficiency, Language Tests, Speech Communication
