Towards Responsible Machine Translation (eBook)

Ethical and Legal Considerations in Machine Translation
eBook Download: PDF
2023 | 1. Auflage
XVII, 233 Seiten
Springer-Verlag
978-3-031-14689-3 (ISBN)

Lese- und Medienproben

Towards Responsible Machine Translation -
Systemvoraussetzungen
128,39 inkl. MwSt
  • Download sofort lieferbar
  • Zahlungsarten anzeigen

This book is a contribution to the research community towards thinking and reflecting on what Responsible Machine Translation really means. It was conceived as an open dialogue across disciplines, from philosophy to law, with the ultimate goal of providing a wide spectrum of topics to reflect on. It covers aspects related to the development of Machine translation systems, as well as its use in different scenarios, and the societal impact that it may have. This text appeals to students and researchers in linguistics, translation, natural language processing, philosophy, and law as well as professionals working in these fields.




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, she participated 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 machine translation and multiword expressions (MWEs). Throughout her career she has worked in various EU-funded projects and actions (LIRICS, CLARIN, FLaReNet, CLARA, PARSEME, DASISH, EXPERT, EDGE, INTERACT), as well as nationally-funded projects in Spain (TACOC, CLARIN-CAT) and Norway (CLARINO). During her research career she has produced over 60 scientific publications including book chapters, journal articles, conference papers and deliverables. She has been awarded three Marie Sklodowska-Curie fellowships (one pre-doctoral and two post-doctoral) and has served as a reviewer for the most prestigious venues in Machine Translation and Computational Linguistics, including ACL, EMNLP, WMT, EAMT, COLING and MT Summit. Between 2018 and 2020 she was a member of the Standing Committee of the SIGLEX-MWE, a special interest group focusing on research in MWEs. She is also a member of the Editorial Board of the Phraseology and the Multiword Expressions Series (LangSci Press).  


Erscheint lt. Verlag 1.3.2023
Reihe/Serie Machine Translation: Technologies and Applications
Zusatzinfo XVII, 233 p. 1 illus.
Sprache englisch
Themenwelt Geisteswissenschaften Philosophie Allgemeines / Lexika
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Artificial Intelligence • Computational Linguistics • ethics and machine translation • legal issues in machine translation • multimodal translation • post-editing ethics • speech processing ethics • Speech Translation • translation ethics
ISBN-10 3-031-14689-1 / 3031146891
ISBN-13 978-3-031-14689-3 / 9783031146893
Haben Sie eine Frage zum Produkt?
PDFPDF (Wasserzeichen)
Größe: 5,2 MB

DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasser­zeichen und ist damit für Sie persona­lisiert. Bei einer missbräuch­lichen Weiter­gabe des eBooks an Dritte ist eine Rück­ver­folgung an die Quelle möglich.

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich
der Praxis-Guide für Künstliche Intelligenz in Unternehmen - Chancen …

von Thomas R. Köhler; Julia Finkeissen

eBook Download (2024)
Campus Verlag
38,99
Wie du KI richtig nutzt - schreiben, recherchieren, Bilder erstellen, …

von Rainer Hattenhauer

eBook Download (2023)
Rheinwerk Computing (Verlag)
24,90