Top Ranked Graduate Programs in Computational Linguistics
Ranked as: #33 in Best National University
The Computational Linguistics MS program at Rochester trains students to be conversant both in the analysis of language and in computational techniques applied to natural language. The curriculum consists of courses in Linguistics and Computer Science for a total of 32 credit hours. The degree can typically be completed in three full-time semesters.
Ranked as: #35 in Best National University
The master degree program (MS) in computational linguistics is an intensive two-year program that prepares you for mastery in the field, whether you want to work in industry or pursue your PhD. The computational linguistics training at Brandeis enables both initial success and satisfying long term careers in this burgeoning field. The first year curriculum is tailored to the level of the students entering the program.
The two-year Master of Science in Computational Linguistics program is an accessible, intensive two-year curriculum for students who have a linguistics, language, computer science, mathematics, or science background, as well as students without prior study of computer science or linguistics.
Ranked as: #53 in Best National University
The Computational Linguistics concentration area at the UT Linguistics department is structured as follows. In their first year, graduate students interested in computational linguistics usually take the required courses related to syntax and semantics (some students opt to take Semantics I in their second year). Beginning in their second year, students interested in continuing in computational linguistics choose advanced courses and seminars in computational linguistics, as well as courses from other departments.
The Computational Linguistics concentration area educates the student in the theory, technologies and applications of Computational Linguistics and Natural Language Processing (NLP). Computational Linguistics is an interdisciplinary field addressing human languages by applying methods of both Linguistics and Computer Science. Research in Computational Linguistics addresses the computational properties of linguistic models of natural language and develops algorithms and computational implementations of such linguistic models 2. Research in NLP emphasizes the goal of developing systems that can deal effectively with natural language data in an application context.
Ranked as: #58 in Best National University
Computational Linguistics (also called Natural Language Processing, abbreviated as NLP) is a field of vital importance in the information age. With growing amounts of speech and text data, the demand keeps increasing for automated tools to understand human language and NLP specialists to develop and operate these tools. Nine courses (five 3-credit LIN courses in linguistics, two 3 credit CPS courses in computational science, and two 3 credit IST courses in information studies) plus a 3 or 6 credit IST internship, all offered on a yearly basis, will be required of all those interested in receiving the degree.
Ranked as: #62 in Best National University
The Association for Computational Linguistics Fellows program was established in 2011 to recognize ACL members whose contributions to the field have been most extraordinary. To be named a Fellow, a candidate must have been a member of the ACL for the past three consecutive years and be nominated by a current ACL member. Subscribe to RSS Association for Computational Linguistics Fellows.
Ranked as: #76 in Best National University
The ACL 2019 conference invites the submission of long and short papers on substantial, original, and unpublished research in all aspects of Computational Linguistics and Natural Language Processing. Alternatively, you may consider submitting your work to the Computational Linguistics journal, which does not require anonymization and has a track for short (i.e., conference-length) papers.
Ranked as: #88 in Best National University
The Departments of Linguistics and Computer Science have teamed up to jointly offer an interdisciplinary degree, the Computational Linguistics, Analytics, Search and Informatics Professional Master’s Degree (CLASIC), approved by the University of Colorado Board of Regents in April 2016. Professor Martha Palmer, who holds a joint appointment in the two departments, developed the program. CLASIC, a stand-alone Professional Master of Science degree, provides students with a solid foundation in both linguistics and computer science graduate course work as well as several courses focused on date-driven linguistics, computational linguistics, and information processing. Graduates of the program will be specialists in the application of computers to the processing of natural languages, such as English, Chinese, Arabic and Urdu.
Ranked as: #0 in No ranking information available
M.A. M.S. in Applied Linguistics with emphasis in TESOL. We offer a 15 credit hour graduate certificate intended to document foundational skills and expertise in computational linguistics and natural language processing (NLP). This certificate cannot be completed 100% .
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The concentration in computational linguistics is a 30-credit-hour program. The degree plan in the concentration is a mix of required courses and electives, with the Linguistics as the primary academic area. A total of 18 credit hours from linguistics will be earned from courses in theoretical linguistics, research methods, experimental design and computational linguistics.