Natural Language and Speech Processing

    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

    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.

    The Department of Electrical Engineering and Computer Science has announced the appointment of five of its faculty members to Career Development Professorships, retroactively effective July 1, 2021. Those

    It’s nearing the end of 2021, and we want to celebrate the accomplishments and contributions of our incredible EECS community by sharing some of the awards given by

    The rigorous selection process for this prestigious fellowship took into account the two students’ outstanding track record of scientific achievement and inquiry, as well as their contributions to the STEM community.

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