Research on Automatic Correction of Human Translation Wins Award
Natural language processing scientists from Lilt train model on human translation errors. The goal, to automate the correction of human translations.
PEMT
Leading TransPerfect’s Technology Division With Matt Hauser
TransPerfect Senior VP, Matt Hauser, talks about how post-editing MT as a process is maturing, why they bet early on cloud TMS, and how they hire and motivate localization sales people.
Slator Machine Translation Expert-in-the-Loop Report
60-page report on interaction between human experts and AI in translation production; includes AI-enabled workflows, adoption rates, postediting, pricing models.
Reader Polls: Widespread Subtitle Use and Other Reasons for High Localization Demand
Gen Z calls them “captions,” but subtitles are popular across the board even among those who don’t really seem to need them — which leads to a talent shortage and lots of business.
Reader Polls: New Ways to Post-Edit Machine Translation
Could a mouse-less, keyboard-less future be in the cards for translators? Slator readers weigh in on this and other developments in language technology.
Slator Pro Guide: Finding Growth in Adjacent Services
Pro Guide for LSPs to identify growth opportunities in adjacent services. Profiles 15 adjacent services, analyzing barriers to entry, risks, and synergies.
Machine Translation in Subtitling: New Job Profiles, New Skills, New Era
Technological advances are affecting the audiovisual-translation landscape, shaping a new skill set for professionals aspiring to compete in the AVT market; and these job profiles are here to stay
How Translators and Post-Editors Benefit From Speech Technologies
From increasing productivity to allowing a more flexible, translator-centered, ergonomic workflow and workspace, this is how translators and post-editors benefit from speech technologies.
Post-Editors, MT Engineers, PE Consultants — Here Are the Skills You Need
Post-editors need specific competencies and skills to fulfill the requirements of a post-editing task — and establish post-editing as a profession in its own right.
Why Eye-Tracking Matters in Machine Translation Post-Editing
Eye-tracking technology has advanced considerably such that use cases have opened up in machine translation evaluation, MT error identification, and pricing for post-edited MT.
For Dataset Creation, Humans Should Evaluate Machine Text — New Research
As more language service providers explore data collection and annotation, a new study shows large language models generate more diverse content, while humans excel at rating it.
Diego Cresceri on Pricing MT Post-Editing and Becoming President of Elia
Diego Cresceri, CEO of Creative Words, joins SlatorPod to discuss growing their LSP through marketing, the price pressure of PEMT, and becoming the President of Elia.
How Metadata Is Staging the Next Revolution in AI-Enabled Translation Workflows
In Q3 2021, AppTek will launch a machine translation system that can toggle between nuances of style, gender, domain, topic, length, dialect, context, and glossaries.
Reader Polls: Human Translation Speed, Look Who’s Hiring Aggressively, Email Behavior
'Many open roles'—look who’s hiring! Email no longer ‘feels like millions.’ For PEMT, what’s a reasonable speed and will hiring subject-matter experts fluent only in the target language become a thing?
Poland Rules on LSP Using Google Translate; Defines ‘Professional Translator’
Court says an LSP’s use of Google Translate could mean a gross violation of professional practices and a client’s IP rights; ruling defines what constitutes a ‘professional translator.’
Lengoo Raises USD 20m Series B From Inkef on AI Agency Investment Thesis
Berlin-based startup Lengoo raises USD 20m Series B on thesis that custom machine translation combined with human-in-the-loop service can outcompete incumbent language service providers.
Smartcat Raises USD 14.6m in Series B to Scale TMS Tech, Marketplace
Translation management tech and marketplace provider Smartcat raises USD 14.6m in Series B; 2020 set to become banner year for language industry investment.
Facebook Researchers Say Machine Translation Quality Estimation Lacking
New research suggests biases of QE datasets lead to guesstimates on machine translation quality. Researchers propose modified dataset, debut it at WMT 2020.
Salesforce Just Open-Sourced a Large, XML-Tagged Machine Translation Dataset
Salesforce research on speeding up the work of post-editors by training MT engines with XML tags culminates in a 17-language online help dataset published on Github.
Survey Reveals Impact of Covid-19 on Europe’s Language Industry
European Language Industry Survey 2020 reveals what’s top of mind for language service providers and freelancers amid current coronavirus crisis.
Which Engines Work for Me? Machine Translation as a Managed Service at One Hour Translation
At SlatorCon Amsterdam 2019, One Hour Translation’s Yaron Kaufman shared his strategy for showing customers why now is the time to adopt machine translation.
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