A Comparative Quality Evaluation of PBSMT and NMT using Professional Translators

no code implementations • MTSummit 2017 • Sheila Castilho, Joss Moorkens, Federico Gaspari, Rico Sennrich, Vilelmini Sosoni, Panayota Georgakopoulou, Pintu Lohar, Andy Way, Antonio Valerio Miceli-Barone, Maria Gialama

NMT

TraMOOC (Translation for Massive Open Online Courses): providing reliable MT for MOOCs

no code implementations • EAMT 2016 • Valia Kordoni, Lexi Birch, Ioana Buliga, Kostadin Cholakov, Markus Egg, Federico Gaspari, Yota Georgakopolou, Maria Gialama, Iris Hendrickx, Mitja Jermol, Katia Kermanidis, Joss Moorkens, Davor Orlic, Michael Papadopoulos, Maja Popović, Rico Sennrich, Vilelmini Sosoni, Dimitrios Tsoumakos, Antal Van den Bosch, Menno van Zaanen, Andy Way

Translation

Achievements of the PRINCIPLE Project: Promoting MT for Croatian, Icelandic, Irish and Norwegian

no code implementations • EAMT 2022 • Petra Bago, Sheila Castilho, Jane Dunne, Federico Gaspari, Andre K, Gauti Kristmannsson, Jon Arild Olsen, Natalia Resende, Níels Rúnar Gíslason, Dana D. Sheridan, Páraic Sheridan, John Tinsley, Andy Way

This paper provides an overview of the main achievements of the completed PRINCIPLE project, a 2-year action funded by the European Commission under the Connecting Europe Facility (CEF) programme.

Machine Translation NMT +1

Overview of the ELE Project

no code implementations • EAMT 2022 • Itziar Aldabe, Jane Dunne, Aritz Farwell, Owen Gallagher, Federico Gaspari, Maria Giagkou, Jan Hajic, Jens Peter Kückens, Teresa Lynn, Georg Rehm, German Rigau, Katrin Marheinecke, Stelios Piperidis, Natalia Resende, Tea Vojtěchová, Andy Way

This paper provides an overview of the ongoing European Language Equality(ELE) project, an 18-month action funded by the European Commission which involves 52 partners.

Introducing the Digital Language Equality Metric: Technological Factors

no code implementations • TDLE (LREC) 2022 • Federico Gaspari, Owen Gallagher, Georg Rehm, Maria Giagkou, Stelios Piperidis, Jane Dunne, Andy Way

The paper situates this ongoing work with a strong European focus in the broader context of related efforts, and explains how the DLE Metric can help track the progress towards DLE for all languages of Europe, focusing in particular on the role played by the TFs.

Progress of the PRINCIPLE Project: Promoting MT for Croatian, Icelandic, Irish and Norwegian

no code implementations • EAMT 2020 • Andy Way, Petra Bago, Jane Dunne, Federico Gaspari, Andre Kåsen, Gauti Kristmannsson, Helen McHugh, Jon Arild Olsen, Dana Davis Sheridan, Páraic Sheridan, John Tinsley

This paper updates the progress made on the PRINCIPLE project, a 2-year action funded by the European Commission under the Connecting Europe Facility (CEF) programme.

Machine Translation Translation

ELRI: A Decentralised Network of National Relay Stations to Collect, Prepare and Share Language Resources

no code implementations • LREC 2020 • Thierry Etchegoyhen, Borja Anza Porras, Andoni Azpeitia, Eva Mart{\'\i}nez Garcia, Jos{\'e} Luis Fonseca, Patricia Fonseca, Paulo Vale, Jane Dunne, Federico Gaspari, Teresa Lynn, Helen McHugh, Andy Way, Victoria Arranz, Khalid Choukri, Herv{\'e} Pusset, Alex Sicard, re, Rui Neto, Maite Melero, David Perez, Ant{\'o}nio Branco, Ruben Branco, Lu{\'\i}s Gomes

We describe the European Language Resource Infrastructure (ELRI), a decentralised network to help collect, prepare and share language resources.

Translation

Facilitating Access to Multilingual COVID-19 Information via Neural Machine Translation

no code implementations • 1 May 2020 • Andy Way, Rejwanul Haque, Guodong Xie, Federico Gaspari, Maja Popovic, Alberto Poncelas

Every day, more people are becoming infected and dying from exposure to COVID-19.

Machine Translation Translation

Large-scale Machine Translation Evaluation of the iADAATPA Project

no code implementations • WS 2019 • Sheila Castilho, Nat{\'a}lia Resende, Federico Gaspari, Andy Way, Tony O{'}Dowd, Marek Mazur, Manuel Herranz, Alex Helle, Gema Ram{\'\i}rez-S{\'a}nchez, V{\'\i}ctor S{\'a}nchez-Cartagena, M{\=a}rcis Pinnis, Valters {\v{S}}ics

Machine Translation Translation

PRINCIPLE: Providing Resources in Irish, Norwegian, Croatian and Icelandic for the Purposes of Language Engineering

no code implementations • WS 2019 • Andy Way, Federico Gaspari

Improving Machine Translation of Educational Content via Crowdsourcing

no code implementations • LREC 2018 • Maximiliana Behnke, Antonio Valerio Miceli Barone, Rico Sennrich, Vilelmini Sosoni, Thanasis Naskos, Eirini Takoulidou, Maria Stasimioti, Menno van Zaanen, Sheila Castilho, Federico Gaspari, Panayota Georgakopoulou, Valia Kordoni, Markus Egg, Katia Lida Kermanidis

Machine Translation Transfer Learning +1

Enhancing Machine Translation of Academic Course Catalogues with Terminological Resources

no code implementations • RANLP 2017 • R Scansani, y, Silvia Bernardini, Adriano Ferraresi, Federico Gaspari, Marcello Soffritti

This paper describes an approach to translating course unit descriptions from Italian and German into English, using a phrase-based machine translation (MT) system.

Machine Translation Translation

Enhancing Cross-border EU E-commerce through Machine Translation: Needed Language Resources, Challenges and Opportunities

no code implementations • LREC 2016 • Meritxell Fern{\'a}ndez Barrera, Vladimir Popescu, Antonio Toral, Federico Gaspari, Khalid Choukri

This paper discusses the role that statistical machine translation (SMT) can play in the development of cross-border EU e-commerce, by highlighting extant obstacles and identifying relevant technologies to overcome them.

Machine Translation Translation

A Web Application for the Diagnostic Evaluation of Machine Translation over Specific Linguistic Phenomena

no code implementations • NAACL 2013 • Antonio Toral, Sudip Kumar Naskar, Joris Vreeke, Federico Gaspari, Declan Groves

Machine Translation Translation