AMTA 2016 is soliciting contributions to our research, commercial user, and government user tracks, and a technology showcase of commercial and research-stage MT technology.

 

Call for Exhibitors in the Technology Showcase  Closed
Call for MT Research Papers  Closed
Call for Presentations: Commercial MT Users and Translators  Closed
Call for Presentations: Government MT Users  Closed
Call for Workshop Proposals  Closed
Call for Tutorial Proposals  Closed

 

Important dates for research, commercial, and government tracks:

Submission deadline: Thursday, 14 July 2016
Notification of acceptance: Monday,  15 August 2016
Final “camera-ready” versions: Monday, 12 September 2016

General Chair: George Foster (NRC Canada)

Steering Committee: Alon Lavie (Amazon), Hassan Sawaf (eBay), Mike Dillinger (LinkedIn)

Research Track Co-Chairs: Lane Schwartz (U Illinois), Spence Green (Lilt)

Commercial Track Co-Chairs: Steve Richardson (LDS Church), Olga Beregovaya (Welocalize)

Government Track Chair: Jennifer Doyon (MITRE), Lucie Langlois (CAS)

Workshops and Tutorials Chair: Roland Kuhn (NRC Canada)

Publications Chair: Elaine O’Curran (Welocalize)

Publicity Chair: Elliott Macklovitch

Technology Showcase Chair: Jennifer DeCamp (MITRE)

Web Master: Mike Dillinger (LinkedIn)

Business and Local Arrangements: Priscilla Rasmussen (ARCS)

AMTA 2018 | Tutorial | Getting Started Customizing MT with Microsoft Translator Hub: From Pilot Project to Production

by Mike Dillinger | January 30, 2018

Develop an Effective MT Customization Pilot Project Learn strategies to plan and carry out an effective pilot project to train a customized MT engine and learn tips to evaluate the MT pilot project against your goals so you can move it toward production. Participants will know how to plan a pilot project, select appropriate training […]

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AMTA 2018 | Workshop | The Role of Authoritative Standards in the MT Environment

by Mike Dillinger | January 30, 2018

In this workshop, we will bring together experts from across the standards community, including from the American Society for Testing and Materials (now just “ASTM International”), the American National Standards Institute (ANSI), the International Organization for Standardization (ISO), the Globalization and Localization Association (GALA), and the World Wide Web Consortium (W3C). These experts will discuss authoritative standards that […]

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AMTA 2018 | Tutorial | ModernMT: Open-Source Adaptive Neural MT for Enterprises and Translators

by Mike Dillinger | January 30, 2018

Nowadays, computer-assisted translation (CAT) tools represent the dominant technology in the translation market – and those including machine translation (MT) engines are on the increase. In this new scenario, where MT and post-editing are becoming the standard portfolio for professional translators, it is of the utmost importance that MT systems are specifically tailored to translators. […]

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AMTA 2018 | Tutorial | MQM-DQF: A Good Marriage (Translation Quality for the 21st Century)

by Mike Dillinger | January 30, 2018

In the past three years, the language industry has been converging on the use of the MQM-DQF framework for analytic quality evaluation. It emerged from two separate quality-evaluation approaches: the European Commission-funded Multidimensional Quality Metrics (MQM) and the Dynamic Quality Framework (DQF) from TAUS. Harmonized in 2015, the resulting shared hierarchy of error types allows […]

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AMTA 2018 | Tutorial | A Deep Learning curve for Post-Editing

by Mike Dillinger | January 30, 2018

Does post-editing also require a deep learning curve? How do the neural networks of post-editors work in concert with neural MT engines? Can post-editors and engines be retrained to work more effectively with each other? In this tutorial, we demystify the process, focus on the latest MT developments and their impact on post-editing practices. We […]

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AMTA 2018 | Tutorial | De-mystifying Neural MT

by Mike Dillinger | January 30, 2018

Neural Machine Translation technology is progressing at a very rapid pace. In the last few years, the research community has proposed several different architectures with various levels of complexity. However, even complex Neural Networks are really built from simple building blocks; and their functioning is governed by relatively simple rules. In this tutorial, we aim […]

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