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Computational linguistics explores the intersection of computers and human language. This field encompasses well-known applications like machine translation, speech recognition, and information extraction, but also extends to computational models of language processing and acquisition, grammar development, and working with extensive language datasets, including preserving at-risk languages. Steven Abney focuses on computational linguistics, with expertise in parsing and language acquisition. Ezra Keshet researches computational semantics, while Jonathan Brennan investigates how meaning is processed during comprehension. Drago Radev (School of Information and Linguistics) works on computational linguistics applications in information systems, particularly summarization and question-answering technologies. Richmond Thomason (Philosophy and Linguistics) explores natural language generation and dialogue systems, and Richard Lewis (Psychology and Linguistics) develops computational models of how humans process sentences.
Applicants complete a bachelor’s degree from a U.S. college or university accredited by a regional accrediting association; or complete an international degree that is equivalent to a U.S. bachelor’s degree from a college or university recognized and approved by the Ministry of Education or Commission responsible for higher education in the country where the degree is earned.
On average, entering students have a GPA of 3.5 or higher, although there is no strict minimum requirement.
A minimum score of 84 on the MELAB, of 100 on the internet-based TOEFL, of 600 on the paper-based TOEFL, or of 7.5 on the IELTS is normally necessary for admission.