IJCL - Editorial Board Member (EBM)

About Professor Keith Thomas Phillips

Keith Thomas Phillips is an assistant professor of world languages at Howard Community College (Columbia, Maryland) and a Ph.D. student at the Universidad de Deusto (Bilbao, Spain) where he is studying the "Application of Information and Communication Technologies to Innovation in Education". His academic interests are at the intersection of language acquisition, natural language processing, and computational linguistics. Keith shares the belief that "language is an intrinsically computational system, and computational linguistics is linguistics" (Abney, 2021). Trained initially in applied linguistics and language pedagogy, he was granted a full-year academic sabbatical during which he audited graduate-level courses in natural language processing and computational linguistics. He has taught French and Spanish to adult learners for 20+ years, he developed his own approach to second language learning based on linguistic description, and he was previously awarded academic tenure in recognition of his contributions as a practitioner in the field.

His research focuses on helping instructors and learners in and out of the classroom with corpus-based descriptivist approaches to second language acquisition using computational models. His recent work includes the development of a patent-allowed system & method for language pedagogy and acquisition. In addition, he was previously awarded a grant to pursue a computational model to support spoken dialog systems for use in language pedagogy. His research interests lie primarily in the application of computational linguistics and artificial/synthetic intelligence to advance language acquisition and learning.

Professor Keith Thomas Phillips handles review of manuscripts that are submitted under the following topics.

• Computational Linguistics
• Corpus Linguistics
• Formal Linguistics-Theoretic and Grammar Induction
• Language Generation
• Language Learning
• Linguistics Modeling Techniques
• Linguistics Theories
• Natural Language Processing