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 […]

Huawei Steps up Work on Document-Level AI Translation – slator.com

In an April 8, 2025 paper, researchers from Huawei and Soochow University proposed a new approach to improving document-level AI translation using large language models (LLMs).  Previously, the researchers suggested improving document-level AI translation by first promoting the LLM with a summary of the document and translations of key entity terms (e.g., names, places, events). […]

China-Based Game Developer Explores AI Dubbing with DeepDubber – slator.com

In a March 31, 2025 paper, researchers from the AI Lab at Giant Network, a China-based online game development company, introduced DeepDubber, an AI system that aims to deliver “high-quality movie dubbing,” according to the research team. Giant Network is known for developing multiplayer online role-playing games (MMORPGs). In recent years, the company has been […]

AI Translation Improves for Indic Languages. Preserving Sentiment Still a Challenge – slator.com

In an April 2, 2025 paper researchers from the Transitional Artificial Intelligence Research Group at UNSW Sydney and the Centre for Artificial Intelligence and Innovation at Pingla Institute, Sydney, evaluated how large language models (LLMs) fare with complex, culturally and emotionally rich Indian texts. The study compared the performance of OpenAI’s GPT-3.5 and GPT-4o, Google’s […]

Generative AI Takes Localization from Cost Center to Growth Driver – slator.com

Generative AI, a.k.a. GenAI, has made the leap from digital experimentation “sandboxes” to daily use and C-suite plans for the year ahead. But beyond the point of pride that comes with displaying “AI” prominently on a website, the question remains: How can AI — and more specifically, large language models (LLMs) and GenAI — translate […]

Translationese Remains a Challenge for Large Language Models, Study Finds – slator.com

In a March 6, 2025 paper, researchers from China-based institutions the Shanghai AI Laboratory, Westlake University (Hangzhou), and Northeastern University (Shenyang) demonstrated that large language models (LLMs) still suffer from “translationese” — overly literal and unnatural translations that deviate from native linguistic norms. They explained that while previous research has explored translationese in traditional machine […]

Alibaba Says Large Reasoning Models Are Redefining AI Translation – slator.com

In a March 14, 2025 paper, researchers from Alibaba‘s MarcoPolo Team explored the translation capabilities of large reasoning models (LRMs) like OpenAI’s o1 and o3, DeepSeeks’s R1, Anthropic’s Claude 3.7 Sonnet, or xAI’s Grok 3, positioning them as “the next evolution” in translation beyond neural machine translation (NMT) and large language models (LLMs). They explained […]

Which Parts of a Prompt Should Be Translated to Improve Large Language Models? – slator.com

On February 13, 2025, researchers Itai Mondshine, Tzuf Paz-Argaman, and Reut Tsarfaty from Bar-Ilan University suggested that translating only specific components of a prompt can improve the performance of multilingual large language models (LLMs) across various natural language processing (NLP) tasks. This research builds on prior work by Google, Alibaba, the Pune Institute of Computer […]