Please use this identifier to cite or link to this item: http://dx.doi.org/10.23668/psycharchives.2690
Title: How Machine Translation Works. A whistle-stop tour from the past to the present and future
Authors: van Genabith, Josef
Issue Date: 20-Nov-2019
Publisher: ZPID (Leibniz Institute for Psychology Information)
Abstract: Over the last few years machine translation has been making tremendous progress, so much so that for certain language pairs and genres human parity (and even super-human performance) has been claimed (and contested). In this talk van Genabith retraces the story of machine translation from rule-based, statistical to neural approaches (RBMT, SMT and NMT). The objective is to present the main ideas underpinning the approaches in accessible terms and, following this, provide a glimpse of what is currently in the labs.
URI: https://hdl.handle.net/20.500.12034/2304
https://www.youtube.com/watch?v=8ZV77u9SKdw
http://dx.doi.org/10.23668/psycharchives.2690
Citation: Van Genabith, J. (2019, November 20). How Machine Translation Works. A whistle-stop tour from the past to the present and future. ZPID (Leibniz Institute for Psychology Information). https://doi.org/10.23668/PSYCHARCHIVES.2690
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