Unpacking DeepL’s turbo growth; and Welocalize AI Innovation VP, Olga Beregovaya, joins the Pod to discuss the evolution of NLP, the state of AI, and global content transformation.
Fast-growing German machine translation provider DeepL sells 13.6% stake to Silicon Valley venture capital firm Benchmark Capital as usage continues to accelerate.
Meta AI wants to make large language models more accessible to researchers with the release of OPT-175B; advocates R&D transparency and a “research mindset.”
The demand for high quality language data to train machine learning systems including neural machine translation is fuelling a growth curve for providers Appen, Flitto, and others.
The US government is asking for public comment to determine whether a range of “emerging technologies,” including machine translation, are essential to national security and should be subject to export controls.
In March 2021, the versed German language experts of Rheinschrift Language Services once again achieved ISO 17100 recertification.
Unbabel CEO Vasco Pedro joins SlatorPod to talk about machine translation for multilingual customer service, hiring top AI talent, the Lisbon startup scene, and learning from investors.
The modern organization can push localization even further with artificial intelIigence and machine translation. That’s where Language Operations comes in.
KUDO Co-Founder and CEO Fardad Zabetian talks about the rise of multilingual meetings and blitzscaling his company during a pandemic.
Memsource CEO David Čaněk talks about the recent acquisition and integration of Phrase and the future of AI and MT technology in shaping the localization industry.
Workforce management is essential to an LSP’s core activities of translation and localization and may also be the golden ticket to new revenue streams in data-for-AI services.
Data-for-AI services are a new and highly specialized sub-industry of AI. But how exactly are text, image, and speech data used in an LSP’s end-customer segment?
Should RWS rebrand Trados or leave the name as is? Would you let AI convert your bullet points into text? Are 20,000 LSPs in the dying zone? Holiday plans for LSPs and freelancers.
“Inter-Language Vector Space is a revolutionary approach to L10N AI, on par with Neural MT.”
Acrolinx Founder Andrew Bredenkamp walked SlatorCon Amsterdam 2019 attendees through AI’s current challenges and his predictions for the next three years.
In crucial step toward planned private equity sale, language service provider Summa Linguae signs deal to buy Canada-based localization and data annotation provider Globalme.
Less than one year after Google open-sourced its much-discussed language model BERT, experts weigh in on its potential uses in neural machine translation.
Appen CEO, Mark Brayan, speaks at SlatorCon San Francisco 2019 on the expensive, complex, and crucial process of collecting language data for AI.
NVIDIA Senior Deep Learning Engineer Chip Huyen details progress on MT challenges, including data requirements, sentence-length limitations, and imperfect quality evaluation techniques.
TransPerfect announced the program for the GlobalLink NEXT North America conference to be held October 21–23 in San Francisco
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