Towards Responsible Machine Translation / Machine Translation: Technologies and Applications Bd.4 (PDF)

Helena Moniz is the President of the European Association for Machine Translation (EAMT) and Vice President of the International Association for Machine Translation (IAMT). She is also the Vice-coordinator of the Human Language Technologies Lab at INESC-ID. Helena is an Assistant Professor at the School of Arts and Humanities at the University of Lisbon, where she teaches Computational Linguistics, Computer Assisted Translation, and Machine Translation Systems and Post-editing. She graduated in Modern Languages and Literature at School of Arts and Humanities, University of Lisbon (FLUL), in 1998. She received a Master's degree in Linguistics at FLUL, in 2007, and a PhD in Linguistics at FLUL in cooperation with the Technical University of Lisbon (IST), in 2013. She has been working at INESC-ID/CLUL since 2000, in several national and international projects involving multidisciplinary teams of linguists and speech processing engineers. Within these fruitful collaborations, sheparticipated in 19 national and international projects. Since 2015, she is also the PI of a bilateral project with INESC-ID/Unbabel, a translation company combining AI + post-editing, working on scalable Linguistic Quality Assurance processes for crowdsourcing. She was responsible for the creation of the Linguistic Quality Assurance processes developed at Unbabel for Linguistic Annotation and Editors' Evaluation. She now is working mostly on research projects involving Linguistics, Translation, and AI.



Carla Parra Escartín is Research Manager within the R&D department of RWS Language Weaver. She holds a M.A. in English Philology from the University of Zaragoza (Spain), a M.A. Degree in Translation and Interpreting, and a M.A. in Applied Linguistics, both from the Pompeu Fabra University (Barcelona, Spain), and a PhD in Computational Linguistics from the University of Bergen (Norway). She has over ten years of research experience in linguistic infrastructures, human factors in