Luisa Bentivogli

  • Gender bias in automatic translation
  • Evaluation of human language technologies
  • Benchmark creation and annotation
  • Translation technologies for translators
  • Crowdsourcing for NLP

Luisa Bentivogli is Senior Researcher in the Machine Translation Group at Fondazione Bruno Kessler (FBK). From 2008 to 2013 she was assigned to the Centre for the Evaluation of Language and Communication Technologies (CELCT), first as Research Manager with the role of coordinating the activities of the centre (2008-2012), then as Director of the centre (2012-2013).

Her research interests include the evaluation and analysis of Machine Translation (MT) and Speech Translation (ST) systems, gender bias in automatic translation, creation and annotation of multilingual resources, translation technologies for translators, crowdsourcing for natural language processing, and computational lexicography in a multilingual environment.

Over the years, she has been involved in several EU-funded projects, including EuroSub (2021-2022), MateDUB++ (2021), MateDUB (2020), CEF Data Marketplace (2019-2021), EnetCollect (2017-2021), ModernMT (2015-2017), CRACKER (2015-2017), MosesCore (2012-2015), Excitement (2012-2014), EU-Bridge (2012-2014), MateCat (2011-2014), FlareNet (2008-2011), MEANING (2002-2005), in projects funded by the Autonomous Province of Trento, including LiveMemories (2008-2011), OntoText (2004-2007), WebFaq (2001-2004), and in job orders from private companies and public institutions (ongoing SmarTerp, TINIA).

She co-authored more than 90 scientific publications and serves as reviewer for journals, conferences and workshops. She regularly supervises internship, master, and PhD students. She has been involved in the organization of different tasks in several evaluation campaigns (e.g. IWSLT, RTE, SemEval, EVALITA) and other international events aimed at both the scientific community and translators (MT Marathon 2014, School of Advanced Technologies for Translators – SATT – 2016, 2017, 2018, 2019).

Publications

See Google Scholar

 

MT Resources

ST and MT corpora released by the MT Research Group are available HERE

 

Contacts
  • +39 0461 314574
Links