Three Things to Help Improve Low-Resource Language AI, According to Stanford – slator.com

A new white paper on large language model (LLM) development, the work of Stanford University with The Asia Foundation and the University of Pretoria, discusses best practices for improving the LLM landscape for low-resource languages.  In an April 22, 2025 press release, Stanford’s Human-Centered Artificial Intelligence (HAI) explains the “digital divide” of LLM development, in […]

How to Become the Default Translation App on the iPhone – slator.com

On April 24, 2025, DeepL posted on X that “DeepL is now available as a default translator app on iPhones!” Before the latest iOS update was available, the only possible default translation app on iPhones was Apple Translate. The default apps option itself was rolled out with iOS 18.2 in December 2024. Evidently, Apple is […]

Cybersecurity Firm Points to Risks in NVIDIA’s Translation AI and Speech Microservices – slator.com

Cybersecurity consultancy firm Trend Micro’s research identified security vulnerabilities in NVIDIA Riva API endpoints. NVIDIA Riva is a set of GPU-accelerated features for developers that NVIDIA describes as “multilingual speech and translation microservices for building fully customizable, real-time conversational AI pipelines” for cloud deployment.  The features, launched in 2024, enabling automatic speech recognition (ASR), text-to-speech […]

Slator Language Industry Buyer Tracker for May 2025 – slator.com

Slator is the leading source of research and market intelligence for translation, localization, interpreting, and language AI. Slator’s Advisory practice is a trusted partner to clients looking for M&A services and independent analysis. Slator has offices in Zurich (HQ) and London, and Analysts based in Asia, Europe, and the US. Source link

Lessons from AI Translation to Improve Multilingual LLM Evaluation – slator.com

As large language models (LLMs) continue to scale across languages, their evaluation frameworks are struggling to keep pace. Two recent studies — one from Alibaba and academic partners, the other from a collaboration between Cohere and Google — highlight critical challenges in multilingual LLM evaluation. “As large language models continue to advance in linguistic capabilities, […]

Alibaba and Meta Face Off in Simultaneous AI Translation – slator.com

Two recent research papers — one from a team at Alibaba and Xiamen University, the other from Meta AI —- proposed different ways to improve simultaneous AI translation (SiMT): by adapting large language models (LLMs) for real-time use, and by extending translation systems with a lightweight streaming module. The Alibaba and Xiamen University researchers introduced […]