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Translation automation:
myth or reality?
István Lengyel, 25 July 2020, UTICamp
GOALS
• Understanding automation complexity
• Demistifying APIs
• Looking at a business case
• Identifying the profile of automation-focused PMs
TERMINOLOGY
• LSP, MLV, SLV, Automator
• API, internal API, web scraping
Enterprise tries to solve a business problem
Superagencies (large MLVs) consult on workflows and implement a solution
SLVs hire and train linguistic talent
Freelancers
or in-house
linguists
do the work
The freedom of choice pyramid
Freelancer
SLVs
Superagencies
Enterprises
The complication pyramid
Enterprise
Superagencies
SLVs
Freelancers
or in-house
linguists
Lowest budget, highest requirements
Job creation
Job acceptance
Specification/discussion
(quote/time)
Vendor assignment
Package extraction / file
download-upload
Job delivery and
closing
Critical moments in a TMS project
Three levels of translation automation:
• Transaction automation (with client)
• Project management automation
• Linguistic automation / productivity
Belazy.cat/
our-vision
Transaction
scenarios
Same problems,
different tools.
Sounds normal?
Why are there so
many tools out there?
Vendor portals
Translation
management
systems
Emails
INTO
Content sources
Business
management
systems
CAT tools
What do you need to know about APIs?
• APIs allow programs to talk with each other
• Not every API is public
• REST vs SOAP
• Use cases in public APIs
• Authentication and availability
• Postman – get to know
• API and business logic – don’t assume developers know what to do
DEMO – text classification and keyword extraction
Postman
Integromat
The business case for automation
• Customer value
• Saving time – what’s really taking the time? How many
simultaneous projects can you take?
• Automation and exceptions – How many simultaneous
projects can you take? (of a kind)
Costs: start at processes, not at automation!
Automation-savvy project / program / account manager
• Similar to a good manager: feels happy if they can move on – use this for
incentivizing
• KPIs: number of projects running + time spent on research and improvements
• Can make informed decisions and can responsibly spend a small budget –
ownership of their tasks
• Process mantra and exceptions are always done for a reason
• Isn’t afraid to involve anybody in a process, including the customer
• Is focused on understanding reasons, rather than realities
• Rewards collaboration, is ready to understand and address concerns
Is a good translation
automation project
manager just the
same as a good
project manager from
any other area?
Hope this is useful:
https://belazy.cat/preparing-translation-company-automation/
And you should read this too:
https://www.smartcat.ai/blog/translation-project-management-on-
autopilot/
And remember: technology is just a slave to process.
Thank you!

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UTICamp-2020. Is translation automation a myth or a reality?