AI Writing: Threat or Opportunity for Language Service Providers?
Natural language generation (NLG) startups can help content creators write copy in multiple languages. But are AI writers a threat or an opportunity for LSPs?
MTPE
Here’s What Happened at the ‘New Trends in Translation and Technology’ Conference
NeTTT conference brings together academia, industry, and EU institutions, highlights new trends in translation and technology.
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.
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.
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.
A New Way to Post-Edit MT and News on RWS, Weglot, DeepL, Boostlingo, Acolad
After a packed news segment featuring RWS, Weglot, DeepL, Boostlingo, and Acolad, Nico Herbig and Josef van Genabith join the pod to discuss the future of post-editing machine translation.
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.
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.
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.
On-Demand Translation Company Stepes Launches MTPE 2.0 Services
As neural machine translation algorithms gain increasing acceptance for enterprise translation services, Stepes’ agile and scalable machine translation post editing (MTPE) solutions will be in hot demand.
6 to Watch: How These Translation Startups Disrupt the Supply Chain
Predictive typing, no more middlemen, visualized app translation, machine translation edited by the crowd, and more. What is shaping tomorrow’s language industry. And are the incumbents ready for what’s coming?
Your information will never be shared with third parties. No Spam.