Large Language Models Beat Commercial MT Models for Arabic Dialects, Research Finds
New research shows that large language models are better translators of Arabic dialects than commercial machine translation systems but remain far from perfect.
*New* Slator Pro Guide: Scaling an LSP Key Account — Growing Small Clients into Key Accounts
LLMs
Large Language Models May Not Kill Translation Memories
Large language models offer new applications for traditional translation memory technologies. There’s a case for TMs to remain an important part of translation workflows.
Translation AI Watershed Moment in German Parliament
“Wonderful”! A member of Germany’s parliament creates a watershed moment for the acceptance of consumer-grade translation AI.
New Research Explores How to Simplify Translation Between Related Languages
A study introduces an approach to streamline translation between related languages, with the goal of enhancing trade efficiency and strengthening social connections, particularly in regions with related languages.
The World’s Biggest Companies Are Trying to Crack ‘Speech Translation’
Amid a deluge of research into speech translation, many of the world’s leading technology companies are teaming up with academia to accelerate progress in this challenging field of language AI.
Low-Resource Language Machine Translation Can Compromise Large Language Model Safety
Brown University researchers reveal an issue with AI safety mechanisms in large language models involving low-resource languages.
Large Language Models Are Really Good at Data Cleaning, Research Finds
A study demonstrates the ability of large language models to remove noise from datasets and underscores their potential for data cleaning.
How Effective Are Large Language Models in Low-Resource Language Translation
Carnegie Mellon University researchers explore LLM effectiveness across 204 languages revealing their output limitations for low-resource languages.
Automating Machine Translation Quality Estimation Gains Traction
Interest in automating machine translation quality estimation increases with the prevalence of large language models, but still has some way to go to be deployed at scale.
The Case for Contextual Evaluation in Measuring LLM Translation Quality
At SlatorCon Zurich, Dr. Sheila Castilho emphasizes the significance of contextual evaluation in assessing large language models and the need for a more rigorous evaluation approach.
Inside the Potential of Large Language Models in Localization at SlatorCon Zurich 2023
Panelists from ServiceNow, LanguageWire, Busch Vacuum Solutions weighed the risks and opportunities of employing large language models in practical enterprise localization workflows.
Intento Raises USD 8m in Series A as Investors Back Generative AI
Intento secures additional backers for its generative AI platform in USD 8m Series A funding as investors pick company in “crowded” translation and localization space.
Slator Pro Guide: Translation AI
The Slator Pro Guide: Translation AI is a vital and concise guide to applying large language models (LLMs) in translation workflows, featuring 10 practical use cases.
Can Large Language Models Do Simultaneous Machine Translation?
Monash University researchers show that large language models can do real-time machine translation and propose new ways for model fine-tuning.
Writer, Inc. Raises USD 100m in Series B Round
Enterprise generative AI company Writer, Inc. completes a Series B round of funding, securing USD 100m from seven investors; plans to expand industry-specific LLMs.
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