Localization Professionals Mourn the Demise of Microsoft’s Language Portal
To own or not to own (i.e., license) language tech; language companies plan to incorporate GPT into workflow; translators mourn “go-to resource” Microsoft Language Portal.
Language Industry (Artificial) Intelligence — Slator Answers
LLMs
Google Bard Refuses to Translate, Launching Slator Answers
Slator launches new AI feature, Google’s Bard is super cautious on translation, K-pop star uses Youtube’s multi-audio track, and M&A in media localization.
How Many Language Service Providers Have Piloted ChatGPT in Workflows?
A Slator survey looks at the extent of LLM adoption by language service providers, and asks — what are generative AI’s most promising applications?
How Large Language Models Prove Chomsky Wrong with Steven Piantadosi
UC Berkeley’s Steven Piantadosi on the transformative impact of LLMs on our understanding of language and how it challenges Noam Chomsky’s theories.
Slator 2023 Language Industry Market Report
The 140-page flagship Slator 2023 Language Industry Market Report features comprehensive market-size and buyer-segment analyses, sales and marketing insights, language tech, and more.
How Fireflies.ai is Tripling Down on Becoming a Large Language Model-based Firm
Fireflies.ai CEO Krish Ramineni on finding their product-market fit and leveraging large language models for transcription, summarization, and translation.
Embracing Disruption in the Language Services Industry
Welocalize on how the language service industry is uniquely positioned to help corporations navigate the impending disruption.
How to Improve Machine Translation Quality Evaluation with Domain-Specific Data
Researchers from Tilburg University boost machine translation quality estimation with domain adaptation and data augmentation.
The Best and Worst Language Service Provider Stocks since ChatGPT Launched
As the language industry races to assess the business impact of large language models, we examine who were the top and worst performing listed language service providers since ChatGPT.
How Google Wants to Improve Evaluation of Low-Resource Dialect Machine Translation
Google launches a new dataset and benchmark to address the lack of region-awareness in machine translation (MT) systems and support under-resourced dialects.
How Large Language Models Can Improve Machine Translation Quality Evaluation
Google demonstrates the capability of LLMs to create synthetic datasets that can be used to train semantic similarity metrics for evaluating MT quality.
How Supertranslate is Profitable at $100 Monthly Recurring Revenue
How powerful large language models and serverless GPU infrastructure have slashed the cost for a new generation of creators to build fully functional micro SaaS products.
Fuzzy Matches Can Refine Machine Translation by GPT-3, Other Large Language Models
January 2023 paper from ADAPT Centre finds GPT can enhance real-time adaptation to user feedback; “promising” results, and number of fuzzy matches needed, vary by language.
EU’s DG CONNECT Awards EUR 8m Contract for Language Data Platform
EU’s DG CONNECT awards a EUR 8m contract to create a platform and marketplace for multilingual language data sharing and exchange.
Intento CEO Outlines Seven Stages of Machine Translation Adoption
At SlatorCon Remote December 2022, Konstantin Savenkov, CEO at Intento, on machine translation bottlenecks, value drivers, ROI, and the future of the global language market.
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