1003 EDEN AVE
Natural Language Processing, Learning Analytics, Linguistics
Scott Crossley is a professor of Applied Linguistics and Learning Sciences at Georgia State University. Crossley’s primary research focus is on natural language processing and the application of computational tools and machine learning algorithms in language learning, writing, and text comprehensibility. His main interest area is the development and use of natural language processing tools in assessing writing quality and text difficulty. He is also interested in the development of second language learner lexicons and the potential to examine lexical growth and lexical proficiency using computational algorithms. He has received external funding to support his research from Educational Testing Services (ETS), the National Institute of Health (NIH), and the National Science Foundation (NSF). His research has appeared in many prestigious journals in the field of discourse processing, language acquisition, composition studies, and reading including Studies in Second Language Acquisition, TESOL Quarterly, Language Learning, The Modern Language Journal, Second Language Research, Language Testing, Written Communication, Behavior Research Methods, Discourse Processing and the Journal of Reading Research.