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.


A Carnegie Mellon system designed to rapidly answer questions — even some seemingly off the wall — posed to the Yahoo! Answers website received the highest score by far in the LiveQA evaluation track at the Text Retrieval Conference (TREC 2015)."This is the question answering that really matters to people," said LTI Professor Eric Nyberg, who heads  the Open Advancement of Question...

Carnegie Mellon celebrated a strong showing last month at ASSETS 2015, where a team of researchers earned the Best Demonstration Award and a student took third place in the Student Research Competition.Jeff Bigham, an associate professor in both the LTI and Human-Computer Interaction Institute (HCII), joined forces with HCII post-doc Luz Rello and the University of Maryland's Abdullah Ali to...

The October issue of The Atlantic featured LTI Assistant Professor Louis-Philippe Morency's research into using computers to analyze, recognize and predict subtle human behaviors during social interactions. The article, "Machines That Can See Depression on a Person's Face," talks about how machine learning gives scientists news ways to interpret subtle facial expressions, discusses the results...

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.