Eric Joanis

According to our database, Eric Joanis authored at least 17 papers between 2003 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Speech Generation for Indigenous Language Education.

Aidan Pine, Erica Cooper, David Guzmán, Eric Joanis, Anna Kazantseva, Ross Krekoski, Roland Kuhn, Samuel Larkin, Patrick Littell, Delaney Lothian, Akwiratékha' Martin, Korin Richmond, Marc Tessier, Cassia Valentini-Botinhao, Dan Wells, Junichi Yamagishi

Comput. Speech Lang., 2025

2023

ReadAlong Studio Web Interface for Digital Interactive Storytelling.

Aidan Pine, David Huggins-Daines, Eric Joanis, Patrick Littell, Marc Tessier, Delasie Torkornoo, Rebecca Knowles, Roland Kuhn, Delaney Lothian

Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023

2020

Improving Parallel Data Identification using Iteratively Refined Sentence Alignments and Bilingual Mappings of Pre-trained Language Models.

Chi-kiu Lo, Eric Joanis

Proceedings of the Fifth Conference on Machine Translation, 2020

Findings of the 2020 Conference on Machine Translation (WMT20).

Loïc Barrault, Magdalena Biesialska, Ondrej Bojar, Marta R. Costa-jussà, Christian Federmann, Yvette Graham, Roman Grundkiewicz, Barry Haddow, Matthias Huck, Eric Joanis, Tom Kocmi, Philipp Koehn, Chi-kiu Lo, Nikola Ljubesic, Christof Monz, Makoto Morishita, Masaaki Nagata, Toshiaki Nakazawa, Santanu Pal, Matt Post, Marcos Zampieri

Proceedings of the Fifth Conference on Machine Translation, 2020

The Nunavut Hansard Inuktitut-English Parallel Corpus 3.0 with Preliminary Machine Translation Results.

Eric Joanis, Rebecca Knowles, Roland Kuhn, Samuel Larkin, Patrick Littell, Chi-kiu Lo, Darlene A. Stewart, Jeffrey Micher

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

The Indigenous Languages Technology project at NRC Canada: An empowerment-oriented approach to developing language software.

Roland Kuhn, Fineen Davis, Alain Désilets, Eric Joanis, Anna Kazantseva, Rebecca Knowles, Patrick Littell, Delaney Lothian, Aidan Pine, Caroline Running Wolf, Eddie Antonio Santos, Darlene A. Stewart, Gilles Boulianne, Vishwa Gupta, Brian Maracle Owennatékha, Akwiratékha' Martin, Christopher Cox, Marie-Odile Junker, Olivia Sammons, Delasie Torkornoo, Nathan Thanyehténhas Brinklow, Sara Child, Benoit Farley, David Huggins-Daines, Daisy Rosenblum, Heather Souter

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2014

Coarse "split and lump" bilingual language models for richer source information in SMT.

Darlene A. Stewart, Roland Kuhn, Eric Joanis, George F. Foster

Proceedings of the 11th Conference of the Association for Machine Translation in the Americas: MT Researchers Track, 2014

2013

Transferring markup tags in statistical machine translation: a two-stream approach.

Eric Joanis, Darlene A. Stewart, Samuel Larkin, Roland Kuhn

Proceedings of the 2nd Workshop on Post-editing Technology and Practice, 2013

2010

Lessons from NRC's Portage System at WMT 2010.

Samuel Larkin, Boxing Chen, George F. Foster, Ulrich Germann, Eric Joanis, Howard Johnson, Roland Kuhn

Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR, 2010

2009

PortageLive: delivering machine translation technology via virtualization.

Patrick Paul, Samuel Larkin, Ulrich Germann, Eric Joanis, Roland Kuhn

Proceedings of Machine Translation Summit XII: Plenaries, 2009

2008

Manageable Phrase-Based Statistical Machine Translation Models.

Ghada Badr, Eric Joanis, Samuel Larkin, Roland Kuhn

Proceedings of the Computer Recognition Systems 2, 2008

A general feature space for automatic verb classification.

Eric Joanis, Suzanne Stevenson, David James

Nat. Lang. Eng., 2008

2007

Integration of an Arabic Transliteration Module into a Statistical Machine Translation System.

Mehdi M. Kashani, Eric Joanis, Roland Kuhn, George F. Foster, Fred Popowich

Proceedings of the Second Workshop on Statistical Machine Translation, 2007

2006

PORTAGE: with Smoothed Phrase Tables and Segment Choice Models.

Howard Johnson, Fatiha Sadat, George F. Foster, Roland Kuhn, Michel Simard, Eric Joanis, Samuel Larkin

Proceedings of the Proceedings on the Workshop on Statistical Machine Translation, 2006

Segment Choice Models: Feature-Rich Models for Global Distortion in Statistical Machine Translation.

Roland Kuhn, Denis Yuen, Michel Simard, Patrick Paul, George F. Foster, Eric Joanis, Howard Johnson

Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2006

2003

A General Feature Space for Automatic Verb Classification.

Eric Joanis, Suzanne Stevenson

Proceedings of the EACL 2003, 2003

Semi-supervised Verb Class Discovery Using Noisy Features.

Suzanne Stevenson, Eric Joanis

Proceedings of the Seventh Conference on Natural Language Learning, 2003