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Language Technologies InstituteOverviewIntroductionThe 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).
(If you are travelling to the LTI, check out these directions.)
Graduate Programs in Language TechnologiesThe 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
will also benefit from a modular set of laboratory courses, in which
they will learn the basics of natural language technology through
intensive hands-on practice.
The Masters in Language TechnologiesThe Masters in Language Technologies (MLT) is a professional degree
which is normally completed two calendar years. Students choose an individualized curriculum from
a set 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,
visit the LTI MLT program page.
The Ph.D. Program in Language and Information TechnologiesThe Ph.D. curriculum draws on the same set of approved courses and
laboratories as the MLT, but with 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,
visit the LTI PhD program page.
How to ApplyInstructions and forms for applying to the LTI are
now available online.
For additional information, please write to:
Admissions Coordinator
Language Technologies Institute Carnegie Mellon University 5000 Forbes Avenue Pittsburgh, PA 15213 USA Email: ltp AT cs.cmu.edu About the Center for Machine TranslationThe Center for Machine Translation (CMT) was a research branch of 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 CMT provided a rich and diverse environment for collaboration
among faculty, staff, visiting scholars, and qualified students. For
more information about past CMT projects and publications,
visit the LTI Research page.
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