AMTA 2020
Conference of the Association of Machine Translation in the Americas
Location
- Online
Links
- amtaweb.org/wp-content/uploads/2021/10/2020.amta-research.pdf)
- amtaweb.org/wp-content/uploads/2020/11/2020.amta-user.pdf
Schedule
Day 1
12:00 | Opening Reception Networking Area |
Day 2
8:00 | Tutorial: Quick-Start Guide to Understanding and Working with Machine Translation Adam Wooten |
Tutorial: NMT Domain Adaptation Techniques Yasmin Moslem | |
8:00 | Workshop: Virtual Workshop on the Impact of Machine Translation (iMpacT 2020) Sharon O'Brien, Michel Simard |
10:30 | Workshop: Virtual Workshop on the Impact of Machine Translation (iMpacT 2020) (continued) Sharon O'Brien, Michel Simard |
12:00 | Tutorial: Human Parity Demystified - How Models and Data Achieve Improved Translation Quality Christian Federmann |
Workshop: 1st Workshop on Post-Editing in Modern-Day Translation (PEMDT1) John E. Ortega, Marcello Federico, Constantin Orasan, Maja Popovic |
Day 3
Day 4
8:00 | Opening |
8:10 | Keynote: Factor 1000: Better MT, more content, and what we can do with it Chris Wendt |
8:50 | 🕑 |
9:00 | Commercial User Track: Making the business case for adopting MT Rodrigo Cristina |
Research Track: The OpenNMT Neural Machine Translation Toolkit: 2020 Edition Guillaume Klein, François Hernandez, Vincent Nguyen, Jean Senellart | |
9:30 | Commercial User Track: Flexible Customization of a Single Neural Machine Translation System with Multi-dimensional Metadata Inputs Evgeny Matusov, Patrick Wilken, Christian Herold |
Research Track: The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020 Tobias Domhan, Michael Denkowski, David Vilar, Xing Niu, Felix Hieber, Kenneth Heafield | |
10:00 | Commercial User Track: Enhance CX with Neural Machine Translation Technology Rubén Martínez-Domínguez, Matíss Rikters, Artūrs Vasiļevskis, Mārcis Pinnis, Paula Reichenberg |
Research Track: THUMT: An Open-Source Toolkit for Neural Machine Translation Zhixing Tan, Jiacheng Zhang, Xuancheng Huang, Gang Chen, Shuo Wang, Maosong Sun, Huanbo Luan, Yang Liu | |
10:30 | Commercial User Track: Machine Translation Hype, Crash-Tested by Translation Students Jon Ritzdorf |
Research Track: Panel on Open Source NMT Toolkit Development Moderator: Matt Post | |
11:00 | Demo 3 - Amazon |
11:30 | Demo 4 - XTM |
12:00 | Keynote: Navigating Change: Keys to implementing language technology in government Danielle Silverman |
12:50 | 🕑 |
13:00 | Commercial User Track: Use MT to Simplify and Speed Up Your Alignment for TM Creation Judith Klein |
Research Track: Successful Tech Transfer of MT Research in Government Kathy Baker | |
13:30 | Commercial User Track: Selection of MT System in Translation Workflows Aleš Tamchyna |
Research Track: Plugging into Trados: Augmenting Translation in the Enclave Corey Miller, Chiara Higgins, Paige Havens, Steven Van Guilder, Rodney Morris, Danielle Silverman | |
Commercial User Track: Beyond MT: Opening Doors for an NLP Pipeline Alex Yanishevsky | |
Research Track: PEMT for the Public Sector: Discovery, Scoping, and Delivery Konstantine Boukhvalov, Eileen Block | |
Commercial User Track: Building Multi-Purpose MT Portfolio Konstantin Savenkov | |
15:00 | 🕑 |
15:10 | AMTA Business Meeting |
Day 5
7:50 | Opening |
8:00 | Keynote: Using language technology to enable two-way communication in humanitarian assistance Eric Paquin |
8:50 | 🕑 |
9:00 | Government Track: A Tale of Eight Countries or the EU Council Presidency Translator in Retrospect (slides) Mārcis Pinnis, Toms Bergmanis, Kristīne Metuzāle, Valters Šics, Artūrs Vasiļevskis, Andrejs Vasiļjevs |
9:30 | Government Track: Why is it so Hard to Develop Comparable Translation Evaluations and How Can Standards Help? Jennifer DeCamp |
Commercial User Track: Simultaneous Speech Translation in Google Translate Jeff Pitman | |
10:30 | Government Track: Using Contemporary US Government Data to Train Custom MT for COVID-19 Achim Ruopp |
Commercial User Track: Understanding Challenges to Enterprise Machine Translation Adoption Bart Mączyński | |
11:00 | Demo 5 - Facebook |
11:30 | Demo 5 - CustomMT |
12:00 | Keynote: Research stories from Google Translate's Transcribe Mode Colin Cherry |
12:50 | 🕑 |
Commercial User Track: Lexically Constrained Decoding for Sequence Generation Tony O'Dowd | |
Research Track: Dynamic Masking for Improved Stability in Online Spoken Language Translation Yuekun Yao, Barry Haddow | |
Commercial User Track: Building Salesforce Neural Machine Translation System Kazuma Hashimoto, Raffaella Buschiazzo, Caiming Xiong, Teresa Marxhall | |
Research Track: On Target Segmentation for Direct Speech Translation Mattia A. Di Gangi, Marco Gaido, Matteo Negri, Marco Turchi | |
Commercial User Track: Interactive Adaptation of Neural MT on Commercial Datasets Patrick Simianer, Joern Wuebker, John DeNero | |
Research Track: Domain Robustness in Neural Machine Translation Mathias Müller, Annette Rios, Rico Sennrich | |
Commercial User Track: Enabling New MT Post-Editing Scenarios with Continuous Localization Igor Afanasyev | |
Research Track: Low-Resource NMT: an Empirical Study on the Effect of Rich Morphological Word Segmentation on Inuktitut Tan Ngoc, Fatiha Sadat |
The 14th biennial conference of the Association of Machine Translation in the Americas (AMTA 2020) was hosted online from 5 October to 9 October, 2020.