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AMTA 2022 YouTube Recordings (Members Only)
Main Conference
Research Track
Download (13MB)
Users and Providers Track and Government Track
Download(31MB)
Workshops
Workshops on Empirical Translation Process Research(WeTPR)
Download(4MB)
Workshop on Corpus Generation and Corpus Augmentation for Machine Translation(CoCo4MT)
Download(2MB)
https://youtu.be/hYtK5uKhKYs
Demo – Systran
https://youtu.be/V7b-gDylWh8
Demo – CustomMT
https://youtu.be/JGVXXHDewk4
Demo – Intento
https://youtu.be/tK9Bj2uEh9E
C3 – A Survey of Qualitative Error Analysis for Neural Machine Translation Systems
https://youtu.be/0kF57rJFiEo
C10 – Flexible Customization of a Single Neural MT System with Multi dimensional Metadata Inputs
https://youtu.be/NzxIn_YbGK4
K1 – Welcome and Keynote – MT Developments in the European Union
https://youtu.be/0o6R0gRsJ5g
K2 – Faithfulness in natural language generation in an era of heightened ethical AI awareness
https://youtu.be/obewkNfXZLw
K3 – Welcome and Keynote – Factor 1000 Better MT, more content, and what we can do with it
https://youtu.be/K5CMWXIdywk
K4 – Keynote – Navigating Change Keys to implementing language technology in government
https://youtu.be/b0n3p_ODAdc
K5 – Using language technology to enable two way communication in humanitarian assistance
https://youtu.be/t_aU3AWwsx4
K6 – Keynote – Research stories from Google Translate’s Transcribe Mode
https://youtu.be/9hSX7DUv240
G1 – Successful Tech Transfer of MT Research in Government
https://youtu.be/TBJVVpCIzJY
G2 – Plugging into Trados Augmenting Translation in the Enclave
https://youtu.be/Nk4D7Zqe4cU
G3 – PEMT for the Public Sector Discovery, Scoping, and Delivery
https://youtu.be/OHNlVOnUtrI
G4 – Shareable TTS Components
https://youtu.be/LQGNVirs4vQ
G5 – A Tale of Eight Countries or the EU Council Presidency Translator in Retrospect
https://youtu.be/g0df3qibbAw
G6 – American Sign Language ASL to English Machine Translation
https://youtu.be/cKCKTuGpyLE
G7 – Why is it so Hard to Develop Comparable Translation Evaluations and How Can Standards Help
https://youtu.be/-b5dRXYs9-U
G8 – Using Contemporary US Government Data to Train Custom MT for COVID 19
https://youtu.be/EL3ABezbC_c
R3 – Machine Translation with Unsupervised Length Constraints
https://youtu.be/l77muNlzYaE
R4 – Constraining the Transformer NMT Model with Heuristic Grid Beam Search
https://youtu.be/TtdlO3GEl9o
R6 – Generative latent neural models for automatic word alignment
https://youtu.be/p0SwNFHHmCg
R7 – The Impact of Indirect Machine Translation on Sentiment Classification
https://youtu.be/lvNMT6jG-AY
R8 – Towards Handling Compositionality in Low Resource Bilingual Word Induction
https://youtu.be/g57HdwlVBLI
R9 – The OpenNMT Neural Machine Translation Toolkit 2020 Edition
https://youtu.be/2_VMqRkT1zg
R10 – The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020
https://youtu.be/QnR3kZ3oD1Y
R11 – THUMT An Open Source Toolkit for Neural Machine Translation
https://youtu.be/xSsE8NNoaoY
R12 – Panel on Open Source NMT Toolkit Development
https://youtu.be/IjL3iLM6zJU
R13 – Dynamic Masking for Improved Stability in Online Spoken Language Translation
https://youtu.be/zwDZ4PBOBhs
R14 – On Target Segmentation for Direct Speech Translation
https://youtu.be/jVrspnywsuM
R15 – Domain Robustness in Neural Machine Translation
https://youtu.be/FtDZtzKMnkE
R16 – Low Resource NMT: A Study on the Effect of Rich Morphological Word Segmentation on Inuktitut
https://youtu.be/3UhrMrgXTBM
C1 – Operationalizing MT quality estimation
https://youtu.be/sBpb9CBYQUo
R2 – Investigation of Transformer based Latent Attention Models for Neural Machine Translation
https://youtu.be/OLQAhn43K14
C4 – COMET Deploying a New State of the art MT Evaluation Metric in Production
https://youtu.be/QZo35QTyOeQ
C5 – Scaling up automatic translation for software: reduction of PEMT volume with customer impact
https://youtu.be/QJekpmTB6-A
C6 – Auto MT Quality Prediction Solution and Best Practice
https://youtu.be/uGRnZVFYfdQ
C7 – A language comparison of human evaluation & quality estimation
https://youtu.be/LCaZN588SdI
C8 – Machine translation quality across demographic dialectal variation in Social Media
https://youtu.be/xaL0p_x2AVU
C9 – Making the business case for adopting MT
https://youtu.be/DAvIysaR7Qc
C11 – Enhance CX with Neural Machine Translation Technolog
https://youtu.be/lB9l5xXGm_0
C13 – Use MT to Simplify and Speed Up Your Alignment for TM Creation
https://youtu.be/S6ga5agfE20
C14 – Selection of MT Systems in Translation Workflows
https://youtu.be/wCvYMO6YQWY
C15 – Beyond MT Opening Doors for an NLP Pipeline
https://youtu.be/OEhNZ6-ZK3s
C16 – Building Multi Purpose MT Portfolio
https://youtu.be/c3Huf3g8MZo
C17 – Simultaneous Speech Translation in Google Translate
https://youtu.be/o55QArFJiJ8
C18 – Understanding Challenges to Enterprise Machine Translation Adoption
https://youtu.be/VCIJ-xqIYWs
C19 – Lexically Constrained Decoding for Sequence Generation
https://youtu.be/kHfh7WdP_T8
C20 – Building Salesforce Neural Machine Translation System
https://youtu.be/__C4odjXJUc
C21 – Interactive Adaptation of Neural MT on Commercial Datasets
https://youtu.be/-zd-wTTXjb0
C22 – Enabling New MT Post Editing Scenarios with Continuous Localization
https://youtu.be/Vr7Gro-Lw9o
AMTA Business Meeting
https://youtu.be/9VsGBR90fjo
T3 – NMT Domain Adaptation Techniques
https://youtu.be/v55Ax245AqU
W2 – iMpacT 2020 (Part 2)
https://youtu.be/bjkWwQYlZrc
W2 – Virtual Workshop on the Impact of Machine Translation iMpacT 2020
https://youtu.be/_TUoecpkCBY
Demo – Amazon
https://youtu.be/BH0O6Nuz4WE
Demo – XTM
https://youtu.be/NpbX7o2Ls5I
R5 – Machine Translation System Selection from Bandit Feedback
https://youtu.be/wS4LGBiitMg
W1 – 1st Workshop on Post Editing in Modern Day Translation PEMDT1
https://youtu.be/woXNepvWQaE
T1 – Quick Start Guide to Understanding & Working with Machine Translation
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AMTA 2022 YouTube Recordings (Members Only) Main Conference Research Track Download(13MB) Users and Providers Track and Government Track Download(31MB) Workshops Workshops on Empirical Translation Process Research(WeTPR) Download(4MB) Workshop on Corpus Generation and Corpus Augmentation for Machine Translation(CoCo4MT) Download(2MB)
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by Darius Hughes | January 1, 2022
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