Our research encompasses all aspects of speech and language processing—ranging from the design of fundamental machine learning methods to the design of advanced applications that can extract information from documents, translate between languages, and execute instructions in real-world environments. Two central themes of our research are unsupervised discovery of linguistic structure (from sounds to word meanings to grammars) and the use of language to train and explain computational models across application domains (including computer vision, robotics, and medicine). We aim to simultaneously tackle pressing social problems and develop foundational technologies for enabling humans to interact with computers using the languages they already speak.
Latest news in natural language and speech processing
The department is proud to announce multiple promotions this year.
Award is given each year by the School of Engineering to an outstanding educator up for promotion to associate professor without tenure.
New LiGO technique accelerates training of large machine-learning models, reducing the monetary and environmental cost of developing AI applications.
Six distinguished scientists with ties to MIT were recognized “for significant contributions in areas including cybersecurity, human-computer interaction, mobile computing, and recommender systems among many other areas.”
Jack Cook, Matthew Kearney, and Jupneet Singh will begin postgraduate studies at Oxford University next fall.