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SUMMARY:Language (In)Equality in Parsing and Machine Translation: Data Siz
 e is Only One Term in the Equation - Arianna Bisazza (University of Gronin
 gen)
DTSTART:20220519T120000Z
DTEND:20220519T130000Z
UID:TALK174548@talks.cam.ac.uk
CONTACT:Michael Schlichtkrull
DESCRIPTION:Abstract:\n\nDespite the tremendous improvements achieved in l
 ess than a decade by neural models\, NLP is still far from reaching langua
 ge equality (i.e. comparable performance in all languages). The uneven amo
 unt of data available in different languages is often recognized as the ma
 in culprit.\nIn this talk I will discuss recent work that acknowledges thi
 s situation and attempts to address it\, not by collecting or synthesizing
  more data\, but by exploiting linguistic information already existing for
  a large number of high- to very-low-resourced languages. In particular I 
 will show how typological features can be used to learn language embedding
 s that boost the quality of a multilingual dependency parser.\nIn the seco
 nd part of the talk\, I will discuss another obstacle to language inequali
 ty\, namely the fact that some languages are intrinsically more difficult 
 to model than others\, even when controlling for training data size. Speci
 fically\, I will present recent results on the effect of word order freedo
 m and case marking on the quality of state-of-the-art neural machine trans
 lation.\n\nBio:\n\nArianna Bisazza is Assistant Professor in Computational
  Linguistics at the University of Groningen\, The Netherlands. Her researc
 h aims to identify the intrinsic limitations of current language modeling 
 paradigms\, and to improve the quality of machine translation for challeng
 ing language pairs. She previously worked as a postdoc at the University o
 f Amsterdam and as a research assistant at Fondazione Bruno Kessler\, Tren
 to.\n\nTopic: NLIP Seminar\nTime: May 19\, 2022 01:00 PM London\n\nJoin Zo
 om Meeting\nhttps://cl-cam-ac-uk.zoom.us/j/94112888558?pwd=aGN2Skg2UFlnUkx
 WMmFuRjV6SCs0dz09\n\nMeeting ID: 941 1288 8558\nPasscode: 420834
LOCATION:Virtual (Zoom)
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