📰 AMTA 2020: all accepted papers

58 papers · the most cited first · ← AMTA 2020

1. A Case Study of Natural Gender Phenomena in Translation: A Comparison of Google Translate, Bing Microsoft Translator and DeepL for English to Italian, French and Spanish ↗Argentina Anna Rescigno, Johanna Monti, Andy Way et al.
2. A Different, Ethical Machine Translation is Possible: English-Catalan Free/Open-Source Neural Machine Translation ↗Vicent Briva-Iglesias
3. A New Approach to Parameter-Sharing in Multilingual Neural Machine Translation ↗Benyamin Ahmadnia, Bonnie Dorr · Research Track
4. A Survey of Qualitative Error Analysis for Neural Machine Translation SystemsDenise Díaz, James Cross, Vishrav Chaudhary et al. · User Trackour summary
5. A Tale of Eight Countries or the EU Council Presidency Translator in Retrospect ↗Mārcis Pinnis, Toms Bergmanis, Kristīne Metuzāle et al. · User Track
6. A language comparison of Human Evaluation and Quality Estimation ↗Silvio Picinini, Adam Bittlingmayer · User Track
7. American Sign Language (ASL) to English Machine Translation ↗Patricia O'Neill-Brown · User Track
8. Auto MT Quality Prediction Solution and Best Practice ↗Martin Lei Xiao, York Jin · User Track
9. Beyond MT: Opening Doors for an NLP Pipeline ↗Alex Yanishevsky · User Track
10. Building Multi-Purpose MT Portfolio ↗Konstantin Savenkov · User Track
11. Building Salesforce Neural Machine Translation System ↗Kazuma Hashimoto, Raffaella Buschiazzo, Caiming Xiong et al. · User Track
12. COMET - Deploying a New State-of-the-art MT Evaluation Metric in Production ↗Craig Stewart, Ricardo Rei, Catarina Farinha et al. · User Track
13. COPECO: a Collaborative Post-Editing Corpus in Pedagogical Context ↗Jonathan Mutal, Pierrette Bouillon, Perrine Schumacher et al.
14. Constraining the Transformer NMT Model with Heuristic Grid Beam Search ↗Guodong Xie, Andy Way · Research Track
15. Customized Neural Machine Translation Systems for the Swiss Legal Domain ↗Rubén Martínez-Domínguez, Matīss Rikters, Artūrs Vasiļevskis et al. · User Track
16. Domain Robustness in Neural Machine TranslationMathias Müller, Annette Rios, Rico Sennrich · Research Trackour summary
17. Dynamic Masking for Improved Stability in Online Spoken Language Translation ↗Yuekun Yao, Barry Haddow · Research Track
18. Empowering translators of marginalized languages through the use of language technology ↗Alp Öktem, Manuel Locria, Eric Paquin et al.
19. Exploring Greater Impact: Business Translation Beyond Localization? ↗Kirti Vashee
20. Flexible Customization of a Single Neural Machine Translation System with Multi-dimensional Metadata Inputs ↗Evgeny Matusov, Patrick Wilken, Christian Herold · User Track
21. Generative latent neural models for automatic word alignment ↗Anh Khoa Ngo Ho, François Yvon · Research Track
22. Help Me! Those Free and/or Open Source Machine Translation Tools! ↗Serene Su
23. Improving the Multi-Modal Post-Editing (MMPE) CAT Environment based on Professional Translators' Feedback ↗Nico Herbig, Santanu Pal, Tim Düwel et al.
24. In search of an acceptability/unacceptability threshold in machine translation post-editing automated metrics ↗Lucía Guerrero · User Track
25. Investigation of Transformer-based Latent Attention Models for Neural Machine Translation ↗Parnia Bahar, Nikita Makarov, Hermann Ney · Research Track
26. Keynote: Evaluating MT based on translation speed - a review of the status quo and a proposal for the future ↗John Moran
27. Lexically Constrained Decoding for Sequence Generation ↗Tony O'Dowd · User Track
28. Low-Resource NMT: an Empirical Study on the Effect of Rich Morphological Word Segmentation on Inuktitut ↗Tan Ngoc Le, Fatiha Sadat · Research Track
29. MT Post Editing challenges: Training happy and successful posteditors ↗Luciana Ramos
30. MT Quality Estimator - QUEST ↗Christopher Reid, Patrick McCrae
31. MT for Subtitling: Investigating professional translators' user experience and feedback ↗Maarit Koponen, Umut Sulubacak, Kaisa Vitikainen et al.
32. Machine Translation Hype, Crash-Tested by Translation Students ↗Jon Ritzdorf · User Track
33. Machine Translation System Selection from Bandit Feedback ↗Jason Naradowsky, Xuan Zhang, Kevin Duh · Research Track
34. Machine Translation quality across demographic dialectal variation in Social Media. ↗Adithya Renduchintala, Dmitriy Genzel · User Track
35. Machine Translation with Unsupervised Length-Constraints ↗Jan Niehues · Research Track
36. Making the business case for adopting MT ↗Rodrigo Cristina · User Track
37. On Target Segmentation for Direct Speech Translation ↗Mattia A. Di Gangi, Marco Gaido, Matteo Negri et al. · Research Track
38. Operationalizing MT Quality Estimation ↗Miklos Urban, Maribel Rodríguez Molina · User Track
39. PEMT for the Public Sector: Discovery, Scoping, and Delivery ↗Konstantine Boukhvalov, Eileen Block · User Track
40. Plugging into Trados: Augmenting Translation in the Enclave ↗Corey Miller, Chiara Higgins, Paige Havens et al. · User Track
41. Predictive Translation Memory in the Wild - A Study of Interactive Machine Translation Use on Lilt ↗Geza Kovacs
42. Responsible `Gist' MT Use in the Age of Neural MT ↗Marianna J. Martindale
43. Scaling up automatic translation for software: reduction of post-editing volume with well-defined customer impact ↗Dag Schmidtke · User Track
44. Selection of MT Systems in Translation Workflows ↗Aleš Tamchyna · User Track
45. Shareable TTS Components ↗Steve LaRocca · User Track
46. Simultaneous Speech Translation in Google Translate ↗Jeff Pitman · User Track
47. Successful Tech Transfer of MT Research in Government ↗Kathy Baker · User Track
48. THUMT: An Open-Source Toolkit for Neural Machine Translation ↗Zhixing Tan, Jiacheng Zhang, Xuancheng Huang et al. · Research Track
49. The Impact of Indirect Machine Translation on Sentiment Classification ↗Alberto Poncelas, Pintu Lohar, James Hadley et al. · Research Track
50. The Machine is Blind: Bottom-Up Feedback on the Impact of MT on Human Translation Performance ↗Rhett Whitaker
51. The OpenNMT Neural Machine Translation Toolkit: 2020 Edition ↗Guillaume Klein, François Hernandez, Vincent Nguyen et al. · Research Track
52. The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020 ↗Tobias Domhan, Michael Denkowski, David Vilar et al. · Research Track
53. Towards Handling Compositionality in Low-Resource Bilingual Word Induction ↗Viktor Hangya, Alexander Fraser · Research Track
54. Translation vs Post-editing of NMT Output: Insights from the English-Greek language pair ↗Maria Stasimioti, Vilelmini Sosoni
55. Understanding Challenges to Enterprise Machine Translation Adoption ↗Bart Maczynski · User Track
56. Use MT to Simplify and Speed Up Your Alignment for TM Creation ↗Judith Klein · User Track
57. Using Contemporary US Government Data to Train Custom MT for COVID-19 ↗Achim Ruopp · User Track
58. Why is it so Hard to Develop Comparable Translation Evaluations and How Can Standards Help? ↗Jennifer DeCamp · User Track

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