Learn at LTI

Our unique programs offer expertise that prepares you for a wide range of careers while staying true to the rigorous curriculum that defines computer science at CMU.

Explore Our Work

At the LTI, our faculty and students investigate more than 20 areas of language and information technologies that will impact everything from education to healthcare.

Collaborate With Us

Strong partnerships lead to strong results. We want to work with you to change the world.

The LTI offers five graduate degrees in computer science, ranging from professional master’s programs designed to prepare you for careers in industry and government to a research-based Ph.D. We're looking for the best students to join us.

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Commercial Collaboration
Online repository offers resources for researchers

We recognize that the only way to advance language technologies research is to share our results with other professionals and researchers across the globe. The LTI Catalogue contains more than 100 different resources like tools, libraries, web services and data that are available to anyone. We hope that the catalogue will grow and thrive as our research does the same.

Our Bill of Rights

Get the right information to the right people at the right time in the right language, the right format and the right level of detail.

News

Halting the Ebola outbreak in West Africa is no laughing matter, but a phone information service developed by Carnegie Mellon University researchers is leveraging people's interest in phone games and wacky humor to help spread urgent health information in Guinea.The phone project, called Polly, began operating in March through the U.S. Embassy in Guinea, where the current Ebola epidemic began...

LTI Ph.D. candidate Manaal Faruqui won a Best Student Paper award from the 2015 Conference of the North American Chapter of the Association for Computational Linguistics — Human Language Technologies (NAACL HLT 2015) for his work "Retrofitting Word Vectors to Semantic Lexicons." The paper proposes a method for refining vector space representations using relational information from semantic...

MCDS student Chengliang Lian and LTI Ph.D. candidate Rui Liu took top honors in this semester's class project competition in 11-761: Language and Statistics.Students in the course, which aims to ground the data-driven techniques used in language technologies in sound statistical methodology, must complete a substantial team project at the end of the semester. The project requires students to...

Events

May 27
LTI PhD Thesis Defense: Dani Yogatama

10:00 AM - 4405 Gates & Hillman Centers

The Gates Hillman Complex

The LTI makes its home inside the Hillman Center for Future Generation Technologies. We're right on campus, but an easy walk from great restaurants, coffee shops, museums and libraries.