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

    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.

    Nearly 300 government and military members participated in a new course designed to explore the next generation of artificial intelligence and related technologies.

    MIT researchers developed a hardware and software system that could reduce the computing power, energy, and time required for text analysis and generation. Image: Jose-Luis Olivares, MIT Human language

    MIT today announced the MIT Climate and Sustainability Consortium, which convenes influential industry leaders from a broad range of industries with the aim of vastly accelerating shared solutions

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