From Translation Divergences to Structure-aware Neural Machine Translation
- ๐ค Speaker: Omri Abend, The Hebrew University of Jerusalem
- ๐ Date & Time: Thursday 04 February 2021, 11:00 - 12:00
- ๐ Venue: https://cam-ac-uk.zoom.us/j/97599459216?pwd=QTRsOWZCOXRTREVnbTJBdXVpOXFvdz09
Abstract
Languages present a wide range of structures for expressing similar meanings. This variation has historically motivated the integration of linguistic structure into machine translation (MT) models, so as to abstract away from realization differences, but such integration has been receiving less attention since the introduction of neural MT models. In my talk I will discuss ongoing work weโre carrying out in the lab, on characterizing divergences and their impact on the performance in todayโs neural MT models, as well as on two approaches for integrating syntactic structure into MT models to address this gap.
Joint work with many lab members and collaborators, notably Leshem Choshen, Dmitry Nikolaev, Asaf Yehudai and Lior Fox.
Series This talk is part of the Language Technology Lab Seminars series.
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Thursday 04 February 2021, 11:00-12:00