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
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.
The Department of Electrical Engineering and Computer Science (EECS) recently announced the following crop of chair appointments, all effective July 1, 2022. Karl Berggren has been named the…
Recent MEng graduates reflect on their application-focused research as affiliates of the MIT-IBM Watson AI Lab.
MEng graduate students engage with IBM to develop their research skills and solutions to real-world problems.