Transforming the Translation Environment A Paradigm Shift in Productivity - Matthias Heyn - lt-accelerate 2016 - LT-Innovate
←
→
Page content transcription
If your browser does not render page correctly, please read the page content below
Transforming the Translation Environment A Paradigm Shift in Productivity Matthias Heyn – lt-accelerate 2016
Explosion of Digital Content Drives MT Adoption
• In general the evolution of digital content
drives the adoption of post-editing of MT
(PEMT)
• This has a major affect on the translation
environment for professional as well as the
occasional translator.Significant Translation Technology Trends
Translation Productivity Technology
Quality User experience
System and
Productivity workflow
integration
New ways of
workingSignificant Translation Technology Trends
Translation Productivity Technology
Quality User experience
System and
Productivity workflow
integration
New ways of
workingCurrent Perception of MT
○ Translation Technology Insight (TTI) survey found that:
– 40% of respondents use Machine Translation, of whom 64% say it
makes them more efficient
– More than half of those who use MT believe that it is the future of
Translation Productivity
– Almost three quarters of users are more likely to recommend it than
not, with corporates leading the charge
○ Whilst only 40% currently use MT, they see significant value
○ External research shows that automation is essential to scaling
operations – Machine Translation enters every discussionMT Status Quo
• MT adds value despite not being universally
welcomed and used
– MT integration in professional translation editor is
key part of translation productivity technology
– One of the top choices to cope with increase in
translation demand
• Huge potential for localization industry despite
common concerns/complaints
– Little or no ability to influence MT output quality
– Limited ability to personalize MT
6Post-Editing Machine Translation
PEMT
Post-editing is a
Clients increasingly ask valuable skillset for
for MT and post-editing trained linguists
PEMT still has an image User experience is not
problem always positivePost-Edit Frustrations
MT Engines
do not learn
Generic
I provide from my We cannot use
feedback but I I have no control
engines are
need to wait MT is not or influence over corrections. a customized
inconsistent interactive like engine if our
for a retraining the MT output.
and not CAT Tools. TMs are too
to see the
adapted to my small.
improvements.
projects.AdaptiveMT
Collaborative effort with
Language Offices to fine-
Integrated in Professional tune AdaptiveMT
Translation Editor
Addresses the balance
between MT technology
and user experience
The post-editor takes
center stageAdaptiveMT: Innovative Machine Learning
SMT systems are Static
MT Provider User
MT output PE Edit
xx x xxx xx xx x xxx xx
xxxxx xxxx xxxxx xxxx xxx
xxx x x xx x x x xx x xxx x
MT xxx x xx xx
EngineMT Innovation – AdaptiveMT
• New technology developed by Research
• An adaptive MT engine that learns interactively
from the post-editor’s edits
SDL MT with Adaptive MT User
Adaptive MT
MT Output PE Edit
Processor
xx x xxx xx x xxx
xxx xx x xxx xx x
MT
EngineExamples of what AdaptiveMT can learn – 1
English Source Status Italian MT Output Italian Post-Edited Version Comments
Refer to the electrical Fare riferimento agli schemi Fare riferimento agli schemi
elettrici e controllare il driver elettrici e controllare il driver parte
1 circuit diagrams and
parte anteriore del sensore anteriore del sensore urti laterali
check the driver front sensore urti frontali lato
side impact sensor. urti laterali.
conducente.
Fare riferimento agli Fare riferimento agli schemi
schemi elettrici per saperne elettrici per saperne di più circa
Refer to the electrical di più circa il conducente il conducente sensore d'urto
circuit diagrams to sensore d'urto laterale laterale anteriore sensore urti
2 learn more about the anteriore. frontali lato conducente.
driver front side Fare riferimento agli schemi Specific
impact sensor. elettrici per ulteriori terminology which
informazioni circa il sensore is not in the
baseline
urti frontali lato conducente.Examples of what AdaptiveMT can learn – 2
English Source Status Italian MT Output Italian Post-Edited Version Comments
Using Lime for Utilizzando calce per Affari Utilizzare calce per Affari 2017 Lime
1 for Business 2017 è molto facile.
Business 2017 is very 2017 è molto facile.
easy.
È possibile scaricare la È possibile scaricare la calce per
calce per Affari 2017 facendo Affari 2017 Lime for Business 2017
You can download clic su questo link: facendo clic su questo link:
Lime for Business
2
2017 by clicking this
È possibile scaricare Lime for New product
link: names which need
Business 2017 facendo clic su
questo link: to be kept as per
sourceAdaptiveMT: Practical Information
• Support for English -> French, German,
Italian, Spanish, Dutch
– Reversed language direction and other
language pairs to follow soon after initial
release (planned for H1 2017) Available in Studio as part
– Japanese English planned for H1 2017 of updated Language Cloud
• Available for Baseline only to start with user interface
– AdaptiveMT for customizations and verticals in the pipeline
• Adaptive Engines are personal in the first
version
– Plans for sharing Adaptive Engines across translators in the
pipeline
– It is already possible to share Adaptive Engines through the
same Language Cloud accountUser Experience
Key Benefits of AdaptiveMT
Reduced Improved Cumulative
Interactive Personalized
frustration productivity learning
○ Reduces the ○ Works as the ○ Increases ○ Continues to ○ Creates a personal
frustration of translator post- translation learn from job to adaptive MT engine
editing the same edits productivity over job for the user
incorrect MT time
○ Post-editors will ○ Allows to create
not need to wait multiple “Custom”
for a retrained engines from a
customised Baseline MT engine,
engine to see one for each project
improvementsProductivity Improvements
Test setup Initial Test Results
o MT with AdaptiveMT enabled
in Studio 2017
o Productivity improvements
measured with Qualitivity
o Languages tested: NL, FR and
NL: 27%
ES FR: 55%
o Life Sciences domain
o Testing completed by SDL LO
resources with domain ES: 27%
experienceTangible User Satisfaction
The testing of the adaptive engines has
been an absolutely great experience!
To be able to quickly change terminology
and receive correct MT-proposals in the
segment after next: works like a dream.
Can I have my personal link to the server
where this magic resides?
The final results are quite impressive!
I want to be among the first to have it.
We want it!Shaping the Future of AdaptiveMT
How will AdaptiveMT change the way we work?
Release of AdaptiveMT just a starting point leading to new ways
of working for translators and LSPs and new MT solutions and
scenarios
Currently delivered at individual level, giving control to
post-editors and recalibrating the relationship between MT
and translation experts
Move to a higher level of translation teams, LSPs and
organizations through integration into workflow and
translation processAdaptiveMT Integration
AdaptiveMT takes focus on post-editor and ease of post-editing to the next
level, integrating seamlessly with Trados Studio to drive MT quality
MT technology and innovation add most value when embedded in a well-
designed process, not just in a tool
AdaptiveMT needs to evolve within the MT ecosystem to address future
needs
Our responsibility is to drive AdaptiveMT integration to deliver the best
possible results for future applicationsAdaptiveMT within the MT Ecosystem
• Support through post-
editing trainings
• Define new best practices
for efficient use of
Adaptive Engines
• Support organizations to
integrate AdaptiveMT
efficiently into their MT
strategyQUESTIONS
& ANSWERSSoftware and Services for Human Understanding Copyright © 2008-2017 SDL plc. All rights reserved. All company names, brand names, trademarks, service marks, images and logos are the property of their respective owners. This presentation and its content are SDL confidential unless otherwise specified, and may not be copied, used or distributed except as authorised by SDL.
You can also read
