AMTA 2020 Conference Session Recordings

Demo – Systran
Demo – CustomMT
Demo – Facebook
Demo – Intento
C3 – A Survey of Qualitative Error Analysis for Neural Machine Translation Systems
C10 – Flexible Customization of a Single Neural MT System with Multi dimensional Metadata Inputs
C10 – Flexible Customization of a Single Neural MT System with Multi dimensional Metadata Inputs
Welcome and Keynote – MT Developments in the European Union
K2 – Faithfulness in natural language generation in an era of heightened ethical AI awareness
K3 – Welcome and Keynote – Factor 1000 Better MT, more content, and what we can do with it
K4 – Keynote – Navigating Change Keys to implementing language technology in government
K5 – Using language technology to enable two way communication in humanitarian assistance
K6 – Keynote – Research stories from Google Translate’s Transcribe Mode
G1 – Successful Tech Transfer of MT Research in Government
G2 – Plugging into Trados Augmenting Translation in the Enclave

G3 – PEMT for the Public Sector Discovery, Scoping, and Delivery
G4 – Shareable TTS Components
G5 – A Tale of Eight Countries or the EU Council Presidency Translator in Retrospect
G6 – American Sign Language ASL to English Machine Translation
G7 – Why is it so Hard to Develop Comparable Translation Evaluations and How Can Standards Help
G8 – Using Contemporary US Government Data to Train Custom MT for COVID 19
R3 – Machine Translation with Unsupervised Length Constraints
R4 – Constraining the Transformer NMT Model with Heuristic Grid Beam Search
R6 – Generative latent neural models for automatic word alignment
R7 – The Impact of Indirect Machine Translation on Sentiment Classification
R8 – Towards Handling Compositionality in Low Resource Bilingual Word Induction
R9 – The OpenNMT Neural Machine Translation Toolkit 2020 Edition
R10 – The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020
R11 – THUMT An Open Source Toolkit for Neural Machine Translation
R12 – Panel on Open Source NMT Toolkit Development
R13 – Dynamic Masking for Improved Stability in Online Spoken Language Translation
R14 – On Target Segmentation for Direct Speech Translation
R15 – Domain Robustness in Neural Machine Translation
R16 – Low Resource NMT: A Study on the Effect of Rich Morphological Word Segmentation on Inuktitut
C1 – Operationalizing MT quality estimation
R2 – Investigation of Transformer based Latent Attention Models for Neural Machine Translation
C4 – COMET Deploying a New State of the art MT Evaluation Metric in Production
C5 – Scaling up automatic translation for software: reduction of PEMT volume with customer impact
C6 – Auto MT Quality Prediction Solution and Best Practice
A language comparison of human evaluation & quality estimation
C8 – Machine translation quality across demographic dialectal variation in Social Media
C9 – Making the business case for adopting MT
C11 – Enhance CX with Neural Machine Translation Technolog
C13 – Use MT to Simplify and Speed Up Your Alignment for TM Creation
C14 – Selection of MT Systems in Translation Workflows
C15 – Beyond MT Opening Doors for an NLP Pipeline
C16 – Building Multi Purpose MT Portfolio
C17 – Simultaneous Speech Translation in Google Translate
C18 – Understanding Challenges to Enterprise Machine Translation Adoption
C19 – Lexically Constrained Decoding for Sequence Generation
C20 – Building Salesforce Neural Machine Translation System
C21 – Interactive Adaptation of Neural MT on Commercial Datasets
C22 – Enabling New MT Post Editing Scenarios with Continuous Localization
AMTA Business Meeting
NMT Domain Adaptation Techniques
W2 – iMpacT 2020 (Part 2)
W2 – Virtual Workshop on the Impact of Machine Translation iMpacT 2020
Demo – Amazon
Demo – XTM
R5 – Machine Translation System Selection from Bandit Feedback
W1 – 1st Workshop on Post Editing in Modern Day Translation PEMDT1
T1 – Quick Start Guide to Understanding & Working with Machine Translation

AMTA 2016 | Accepted Tutorials

October 18th, 2017 / Darius Hughes / 0 comments

October 28: — Introduction to MT (Jay Marciano) — Dependency-Based Statistical Machine Translation (Qun Liu and Liangyou Li) November 1: — Computer Aided Translation: Advances and Challenges (Philipp Koehn) — Advances in Neural Machine Translation (Rico Sennrich, Alexandra Birch, and Marcin Junczys-Dowmunt) — ModernMT (Marcello Federico and Marco Trombetti)   Scroll down for more information. Introduction to MT        October 28, […]

AMTA 2016 | Call for Workshop Proposals

October 18th, 2017 / Darius Hughes / 0 comments

The call for workshop proposals is closed. Contact: Roland Kuhn (workshops@amtaweb.org) AMTA workshops are intended to provide the opportunity for MT-related communities of interest to spend time together advancing the state of thinking or the state of practice in their area of endeavor. We are particularly interested in submissions related to commercialization of MT and/or […]

MT Summit XV | Keynote Speakers

August 19th, 2017 / Darius Hughes / 0 comments

AMTA and IAMT are proud to announce the following keynote speakers for MT Summit XV in Miami: KyungHyun Cho (NYU) — Neural Machine Translation: Introduction and Progress Report Abstract: Neural machine translation is a recently proposed framework for machine translation, which is purely based on neural networks. Neural machine translation radically departs from the existing, widely-used, […]

MT Summit XV | Full Program

August 16th, 2017 / Darius Hughes / 0 comments

Come to MT Summit XV to see all of these events: Schedule-MTSummit2015_oct7 Keynote Speakers Papers in the MT Researchers’ Track Presentations in the Commercial MT Users & Translators’ Track Presentations in the Government MT Users’ Track Tutorials Workshops Technology Showcase Social Program: Banquet at the Rusty Pelican, Sunday November 1 at 6:30 PM

MT Summit XV | Commercial MT Users presentations accepted

August 16th, 2017 / Darius Hughes / 0 comments

These presentations were accepted for the Commercial MT Users & Translators track: Farkhat Aminov Yandex.Translate approach to the translation of Turkic languages Nikhil Bojja Machine Translation in Mobile Games – Augmenting Social Media Text Normalization with Incentivized Feedback Robin Bonthrone, Konstantin Lakshin Why are we (still) waiting? What premium translators need to use MT effectively. […]

MT Summit XV | Tutorials

August 16th, 2017 / Darius Hughes / 0 comments

  Friday, October 30 Morning Session Introduction to Machine Translation — Jay Marciano, Lionbridge Target Audience:  Translators and other translation industry professionals This tutorial is for people who are beginning their journey with machine translation and want an overview of what it is, how it works, how it can be used, and whether it can […]

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