Jaime Carbonell foresaw a world where people could freely communicate with each other, no matter what language they spoke. He knew that making this dream a reality would require automation, so he spent his career building systems that could understand human language.
Carbonell, 66, died February 28, 2020, following an extended illness. He was the Allen Newell Professor of Computer Science and had earned the distinction of University Professor, the highest academic accolade CMU faculty can attain. He also founded and directed the Center for Machine Translation, which later became the... Read More
A smile that lifts the cheeks and crinkles the eyes is thought by many to be truly genuine. But new research at Carnegie Mellon University casts doubt on whether this joyful facial expression necessarily tells others how a person really feels inside.
In fact, these "smiling eye" smiles, called Duchenne smiles, seem to be related to smile intensity, rather than acting as an indicator of whether a person is happy or not, said Jeffrey Girard, a former post-doctoral researcher at CMU's ... Read More
An impressive 46 papers by LTI faculty and students were accepted at the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), including 37 main conference accepted papers and 19 papers accepted to the newly added Findings publication.
Organized by the Association for Computational Linguisitcs, and now in its 25th year, EMNLP is one of the premier conferences worldwide in the fields of Natual Language Processing and Computational Linguistics. This year's conference was... Read More
Note: The application deadline has passed, thank everyone who has applied for your interest!
The Language Technologies Institute in Carnegie Mellon University is recruiting interns for Summer 2021. The topic of the internship will be “Language Technology For All,” where you will focus on performing research on cutting-edge language systems to make them more accurate, efficient, or inclusive.
Specific topics include:
- Natural Language Processing (including machine translation, language analysis, question answering, etc.)
- Vision... Read More
It wasn't long after Hurricane Laura hit the Gulf Coast Thursday that people began flying drones to record the damage and posting videos on social media. Those videos are a precious resource, say researchers at Carnegie Mellon University, who are working on ways to use them for rapid damage assessment.
By using artificial intelligence, the researchers are developing a system that can automatically identify buildings and make an initial determination of whether they are damaged and how serious that damage might be.
"Current damage assessments are mostly based on individuals... Read More
In a tense time when a pandemic rages, politicians wrangle for votes and protesters demand racial justice, a little politeness and courtesy go a long way. Now researchers at Carnegie Mellon University have developed an automated method for making communications more polite.
Specifically, the method takes nonpolite directives or requests — those that use either impolite or neutral language — and restructures them or adds words to make them more well-mannered. "Send me the data," for instance, might become "Could you please send me the data?"
The researchers will present... Read More
Dear Members of the LTI Community,
Like many of you, I was horrified by the recent deaths of George Floyd, Breonna Taylor,... Read More
The 2020 Annual Conference of the Association for Computational Linguistics (ACL 2020) features a bevy of accepted papers from LTI faculty and students – 38 in all. In addition to the large contingent of LTI-authored papers, a number of LTI students and faculty members are involved in workshops affiliated with the ACL conference, either as members of organizing committees, or as invited speakers.
The ACL conference, now in its 58th year, bills itself as "the premier conference of the field of computational linguistics, covering... Read More
Jaime Carbonell foresaw a world where people could freely communicate with each other, no matter what language they spoke. He knew that making this dream a reality would require automation, so he spent his career building machines that could understand human language.
He knew full well that earlier attempts at machine translation had largely come to naught. Nevertheless, as a young computer science professor at Carnegie Mellon University in 1985, Carbonell persuaded his superiors to let him start a Center for Machine Translation. For the next 35 years... Read More