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ORCIDAMTA 2020: Virtual - Volume 2: User Papers
- Janice Campbell, Dmitriy Genzel, Ben Huyck, Patricia O'Neill-Brown:
Proceedings of the 14th Conference of the Association for Machine Translation in the Americas, AMTA 2020 - Volume 2: User Papers, Virtual, October, 2020. Association for Machine Translation in the Americas 2020 - Miklos Urban, Maribel Rodríguez Molina:
Operationalizing MT Quality Estimation. 1-31 - Lucía Guerrero:
In search of an acceptability/unacceptability threshold in machine translation post-editing automated metrics. 32-47 - Denise Díaz, James Cross, Vishrav Chaudhary, Ahmed El-Kishky, Philipp Koehn:
A Survey of Qualitative Error Analysis for Neural Machine Translation Systems. 48-77 - Craig Stewart, Ricardo Rei, Catarina Farinha, Alon Lavie:
COMET - Deploying a New State-of-the-art MT Evaluation Metric in Production. 78-109 - Dag Schmidtke:
Scaling up automatic translation for software: reduction of post-editing volume with well-defined customer impact. 110-123 - Martin Lei Xiao, York Jin:
Auto MT Quality Prediction Solution and Best Practice. 124-137 - Silvio Picinini, Adam Bittlingmayer:
A language comparison of Human Evaluation and Quality Estimation. 138-161 - Adithya Renduchintala, Dmitriy Genzel:
Machine Translation quality across demographic dialectal variation in Social Media. 162-189 - Rodrigo Cristina:
Making the business case for adopting MT. 190-203 - Evgeny Matusov, Patrick Wilken, Christian Herold:
Flexible Customization of a Single Neural Machine Translation System with Multi-dimensional Metadata Inputs. 204-216 - Rubén Martínez-Domínguez, Matiss Rikters, Arturs Vasiclevskis, Marcis Pinnis, Paula Reichenberg:
Customized Neural Machine Translation Systems for the Swiss Legal Domain. 217-223 - Jon Ritzdorf:
Machine Translation Hype, Crash-Tested by Translation Students. 224-236 - Judith Klein:
Use MT to Simplify and Speed Up Your Alignment for TM Creation. 237-269 - Ales Tamchyna:
Selection of MT Systems in Translation Workflows. 270-291 - Alex Yanishevsky:
Beyond MT: Opening Doors for an NLP Pipeline. 292-308 - Konstantin O. Savenkov:
Building Multi-Purpose MT Portfolio. 309-339 - Jeff Pitman:
Simultaneous Speech Translation in Google Translate. 340-381 - Bart Maczynski:
Understanding Challenges to Enterprise Machine Translation Adoption. 382-408 - Tony O'Dowd:
Lexically Constrained Decoding for Sequence Generation. 409-435 - Kazuma Hashimoto, Raffaella Buschiazzo, Caiming Xiong, Teresa Marxhall:
Building Salesforce Neural Machine Translation System. 436-451 - Kathy Baker:
Successful Tech Transfer of MT Research in Government. 452-468 - Corey Miller, Chiara Higgins, Paige Havens, Steven Van Guilder, Rodney Morris, Danielle Silverman:
Plugging into Trados: Augmenting Translation in the Enclave. 469-483 - Konstantine Boukhvalov, Eileen Block:
PEMT for the Public Sector: Discovery, Scoping, and Delivery. 484-513 - Stephen Larocca:
Shareable TTS Components. 514-524 - Kristine Metuzale, Alexandra Soska, Marcis Pinnis:
A Tale of Eight Countries or the EU Council Presidency Translator in Retrospect. 525-546 - Patricia O'Neill-Brown:
American Sign Language (ASL) to English Machine Translation. 547-562 - Jennifer DeCamp:
Why is it so Hard to Develop Comparable Translation Evaluations and How Can Standards Help? 563-576 - Achim Ruopp:
Using Contemporary US Government Data to Train Custom MT for COVID-19. 577-592
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