Enterprise Localization in Times of Large Language Models with Centific’s Jonas Ryberg
Jonas Ryberg on the impact of LLMs, the future of multilingual content generation, and Centific’s new SaaS-based language AI platform.
large language models
Discover what’s new in the field of large language models, from ground-breaking research in academia to Big Tech’s latest releases.
New Research Shows How to Use Quality Metrics to Improve Machine Translation
New research suggests that integrating quality metrics as reward models into the machine translation pipeline can enhance the quality of the generated text.
Here Are the Best-Performing Machine Translation Evaluation Metrics
New research reveals the best-performing machine translation evaluation metrics, identifies major challenges in metrics development, and suggests improvements.
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.
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.
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.
Are Large Language Models Good at Translation Post-Editing?
Microsoft Azure AI researchers explore the potential of large language models for automatic post-editing and find that LLMs are good but not great at it.
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.
Innovating at the Speed of AI
Discover how AI and LLMs are reshaping innovation in business. Explore insights from Welocalize’s conversations with 40+ leaders at some of the largest global companies.
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.
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