This book offers an accessible introduction to the ways that language is processed and produced by computers, a field that has recently exploded in interest. The book covers writing systems, tools to help people write, computer-assisted language learning, the multidisciplinary study of text as data, text classification, information retrieval, machine translation, and dialog. Throughout, we emphasize insights from linguistics along with the ethical and social consequences of emerging technology. This book welcomes students from diverse intellectual backgrounds to learn new technical tools and to appreciate rich language data, thus widening the bridge between linguistics and computer science.
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Lelia Glass (Ph.D. from Stanford, 2018) is an Assistant Professor of Linguistics and the Coordinator of a growing linguistics program in the School of Modern Languages at Georgia Institute of Technology. She studies meaning and variation in language, with diverse projects on NLP-informed lexical semantics and sociophonetics unified by their emphasis on corpus data and social context.
Markus Dickinson (Ph.D. from the Ohio State University, 2005) was an Associate Professor of Linguistics at Indiana University before leaving academia for the oddities of leading a college ministry and having more free time. He used to research corpus annotation, the automatic analysis of second language learner data, and various bits and bobs related to those areas. He still enjoys dipping into computational linguistics when he can.
Chris Brew (D.Phil from the University of Sussex, 1992) was an Associate Professor of Linguistics and Computer Science at the Ohio State University before moving into industry in 2011. He is a passionate fan of all things NLP. His current main interests are the use of large language models for summarization and question-answering. He works as a Principal Data Scientist at LexisNexis Legal and Professional, where he designs and builds AI-based components for their legal information systems. He recently rejoined Ohio State part-time, where he teaches one computer science class per semester.
Detmar Meurers (Ph.D. from the University of Tübingen, 2000) is a Professor of Computational Linguistics and the head of the Language and AI in Education Lab at the Leibniz-Institut für Wissensmedien (IWM), with prior appointments at the University of Tübingen, the University of Tromsø, and The Ohio State University. His current work mostly explores the intersection between computational linguistics and empirical education science. He is particularly interested in second language acquisition, where he is also involved in mentoring start-ups developing computer-assisted language learning tools. Detmar is committed to teaching computational linguistics in a way that combines current technology and research insights with the linguistic fundamentals of the field.
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