Language Technologies Institute

The Language Technologies Institute (LTI) of the School of Computer Science at Carnegie Mellon University conducts research and provides graduate education in all aspects of language technology and information management. The LTI was established in 1996 as an expansion of the Center for Machine Translation (CMT).

The LTI is a research department in the School of Computer Science devoted to basic and applied research in all aspects of natural language processing - with a primary focus on machine translation, speech processing, and information retrieval. Containing a unique mix of academic and industrial researchers specializing in various aspects of computer science, artificial intelligence, computational linguistics, and theoretical linguistics, the LTI provides a rich and diverse environment for collaboration among faculty, staff, visiting scholars, and qualified students. For more information about current and past projects, as well as LTI publications, please see our Research page.

The graduate programs in Language Technologies draw on CMU's longstanding accomplishments in natural language processing of written and spoken language. The curricula of the graduate programs are based on a set of approved courses that cover linguistic and statistical approaches, basics of computer science, and in-depth coverage of applied areas of language technology. Machine translation, information retrieval, and speech recognition are strongly emphasized. Students also benefit from a modular set of laboratory courses, in which they learn the basics of natural language technology through intensive, hands-on practice.

 

Students showing off their work at the 2009 Open House

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The Masters in Language Technologies (MLT) is a professional degree which is normally completed in two calendar years. Students choose an individualized curriculum consisting of approved courses and self-paced laboratory modules. Courses should be chosen to emphasize a specialty in one of three language technology areas: machine translation, information retrieval, or speech recognition. Faculty advisors work with students to construct their individualized curricula and supervise directed research. This directed research can focus on original research or a significant contribution to an existing language technology. For more information about our MLT program, please visit the LTI MLT program page.

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The Ph.D. curriculum draws on the same set of approved courses and laboratories as the MLT, but has additional distributional requirements which provide students with a broader education in all areas of language technology and computational linguistics. Ph.D. students can specialize in more theoretical aspects of computational linguistics, as well as the three main language technology areas. Ph.D. students must also demonstrate proficiency in writing, presentation, programming, and teaching and complete and defend a Ph.D. thesis containing significant original research. For more information about our Ph.D. program, please visit the LTI PhD program page.

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Instructions and forms for applying to the LTI are now available online. For additional information, please write to:

Stacey Young
Language Technologies Institute
Carnegie Mellon University
5000 Forbes Avenue
Pittsburgh, PA 15213 USA