Conference of the Association for Machine Translation in the Americas (2020)

Volumes

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bib (full) Proceedings of the 14th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)

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Proceedings of the 14th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
Michael Denkowski | Christian Federmann

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Investigation of Transformer-based Latent Attention Models for Neural Machine Translation
Parnia Bahar | Nikita Makarov | Hermann Ney

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Machine Translation with Unsupervised Length-Constraints
Jan Niehues

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Constraining the Transformer NMT Model with Heuristic Grid Beam Search
Guodong Xie | Andy Way

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Machine Translation System Selection from Bandit Feedback
Jason Naradowsky | Xuan Zhang | Kevin Duh

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Generative latent neural models for automatic word alignment
Anh Khoa Ngo Ho | François Yvon

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The Impact of Indirect Machine Translation on Sentiment Classification
Alberto Poncelas | Pintu Lohar | James Hadley | Andy Way

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Towards Handling Compositionality in Low-Resource Bilingual Word Induction
Viktor Hangya | Alexander Fraser

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The OpenNMT Neural Machine Translation Toolkit: 2020 Edition
Guillaume Klein | François Hernandez | Vincent Nguyen | Jean Senellart

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The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020
Tobias Domhan | Michael Denkowski | David Vilar | Xing Niu | Felix Hieber | Kenneth Heafield

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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

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Dynamic Masking for Improved Stability in Online Spoken Language Translation
Yuekun Yao | Barry Haddow

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On Target Segmentation for Direct Speech Translation
Mattia A. Di Gangi | Marco Gaido | Matteo Negri | Marco Turchi

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Domain Robustness in Neural Machine Translation
Mathias Müller | Annette Rios | Rico Sennrich

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Low-Resource NMT: an Empirical Study on the Effect of Rich Morphological Word Segmentation on Inuktitut
Tan Ngoc Le | Fatiha Sadat

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bib (full) Proceedings of the 14th Conference of the Association for Machine Translation in the Americas (Volume 2: User Track)

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Proceedings of the 14th Conference of the Association for Machine Translation in the Americas (Volume 2: User Track)
Janice Campbell | Dmitriy Genzel | Ben Huyck | Patricia O’Neill-Brown

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 Operationalizing MT Quality Estimation
Miklos Urban | Maribel Rodríguez Molina

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 In search of an acceptability/unacceptability threshold in machine translation post-editing automated metrics
Lucía Guerrero

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 A Survey of Qualitative Error Analysis for Neural Machine Translation Systems
Denise Díaz | James Cross | Vishrav Chaudhary | Ahmed Kishky | Philipp Koehn

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 COMET - Deploying a New State-of-the-art MT Evaluation Metric in Production
Craig Stewart | Ricardo Rei | Catarina Farinha | Alon Lavie

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 Scaling up automatic translation for software: reduction of post-editing volume with well-defined customer impact
Dag Schmidtke

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 Auto MT Quality Prediction Solution and Best Practice
Martin Lei Xiao | York Jin

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 A language comparison of Human Evaluation and Quality Estimation
Silvio Picinini | Adam Bittlingmayer

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 Machine Translation quality across demographic dialectal variation in Social Media.
Adithya Renduchintala | Dmitriy Genzel

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 Making the business case for adopting MT
Rodrigo Cristina

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Flexible Customization of a Single Neural Machine Translation System with Multi-dimensional Metadata Inputs
Evgeny Matusov | Patrick Wilken | Christian Herold

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Customized Neural Machine Translation Systems for the Swiss Legal Domain
Rubén Martínez-Domínguez | Matīss Rikters | Artūrs Vasiļevskis | Mārcis Pinnis | Paula Reichenberg

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 Machine Translation Hype, Crash-Tested by Translation Students
Jon Ritzdorf

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 Use MT to Simplify and Speed Up Your Alignment for TM Creation
Judith Klein

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 Selection of MT Systems in Translation Workflows
Aleš Tamchyna

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 Beyond MT: Opening Doors for an NLP Pipeline
Alex Yanishevsky

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 Building Multi-Purpose MT Portfolio
Konstantin Savenkov

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 Simultaneous Speech Translation in Google Translate
Jeff Pitman

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 Understanding Challenges to Enterprise Machine Translation Adoption
Bart Maczynski

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 Lexically Constrained Decoding for Sequence Generation
Tony O’Dowd

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 Building Salesforce Neural Machine Translation System
Kazuma Hashimoto | Raffaella Buschiazzo | Caiming Xiong | Teresa Marxhall

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 Successful Tech Transfer of MT Research in Government
Kathy Baker

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 Plugging into Trados: Augmenting Translation in the Enclave
Corey Miller | Chiara Higgins | Paige Havens | Steven Van Guilder | Rodney Morris | Danielle Silverman

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 PEMT for the Public Sector: Discovery, Scoping, and Delivery
Konstantine Boukhvalov | Eileen Block

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 Shareable TTS Components
Steve LaRocca

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 A Tale of Eight Countries or the EU Council Presidency Translator in Retrospect
Mārcis Pinnis | Toms Bergmanis | Kristīne Metuzāle | Valters Šics | Artūrs Vasiļevskis | Andrejs Vasiļjevs

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 American Sign Language (ASL) to English Machine Translation
Patricia O’Neill-Brown

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 Why is it so Hard to Develop Comparable Translation Evaluations and How Can Standards Help?
Jennifer DeCamp

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 Using Contemporary US Government Data to Train Custom MT for COVID-19
Achim Ruopp