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  • Video 
    Distinguished lectures in humanities : language learning in humans and machines : two sides of the same coin

    Distinguished lectures in humanities : language learning in humans and machines : two sides of the same coin

    Psychology, Computer Science and Neuroscience have a history of shared questions and inter-related advances. Recently, new technology has enabled those fields to move from “toy” small-scale approaches to the study of language learning from raw sensory input and to do so at a large scale that constitutes daily life. The three primary goals of my research are 1) to quantify the statistical regularities in the real world, 2) to examine the underlying computational mechanisms operated on the statistical data, and 3) to apply the findings from basic science to real-world applications. In this talk, I will present several projects in my research lab to show that the advances in human learning and machine learning fields place us at the tipping point for powerful and consequential new insights into mechanisms of (and algorithms for) learning.

    Event Date: 28/06/2023
    Speaker: Prof. Chen YU (University of Texas at Austin)
    Hosted by: Faculty of Humanities

    Subjects:
    Language and Languages
    Keywords:
    Machine learning Language acquisition Computational linguistics
    Resource Type:
    Video
     
  • Video 
    The Giant Leaps in Language Technology -- and Who's Left Behind

    The Giant Leaps in Language Technology -- and Who's Left Behind

    Thousands of languages thrive across the globe, yet modern speech technology -- with all of its benefits -- supports just over a hundred. Computational linguist Kalika Bali dreams of a day when technology acts as a bridge instead of a barrier, working passionately to build new and inclusive systems for the millions who speak low-resource languages. In this perspective-shifting talk, she outlines what happens when a language is omitted from the digital landscape -- and what can be gained when communities keep pace with the future.

    Subjects:
    Language and Languages and Computing
    Keywords:
    Computational linguistics
    Resource Type:
    Video