Language Models Can Predict the Most Suitable Translation Techniques, Study Finds
Researchers from KU Leuven showcase the ability of language models to accurately predict the most...
Maria Stasimioti
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How to Overcome the Off-Target Translation Issue in Large Language Models
A group of researchers propose a two-stage fine-tuning method to address off-target translations and boost...
Korean Researchers Promise Live, Lip-Synced Speech Translation
Korean research institute KAIST launches a new framework for direct multimodal speech translation, which should...
Huawei on Machine Translation Quality Estimation With Large Language Models
China-based researchers, including some from tech giant Huawei, publish a comprehensive overview of machine translation...
Here’s a ‘Brand-New’ Massive Multilingual Dataset for Machine Translation
Researchers harness web crawls from Internet Archive and CommonCrawl to release new language resources aimed...
Alibaba Echoes Google’s Call to Move Away From Pre-Translation
Researchers from Alibaba and Singapore’s NTU argue that direct inference is more effective for culture-related...
Unbabel Presents a New Evaluation Metric for Chat Translation
Researchers from academia and Unbabel introduce CONTEXT-MQM, an LLM-based metric tailored for machine-translated chats. The...
How to Train Multilingual Modular Machine Translation Systems With MAMMOTH
Researchers from the University of Helsinki, Silo AI, and NVIDIA introduce MAMMOTH, a toolkit designed...
Marzieh Fadaee on How Cohere Built Its Multilingual Generative AI Model Aya
At SlatorCon Remote March 2024, Marzieh Fadaee, Senior Research Scientist at Cohere, discussed how they...
How Google Wants to Transcend Pre-Translation in Large Language Models
Researchers from Google suggest that embracing direct inference over pre-translation enhances large language model performance...
Separating Accuracy and Fluency Improves Machine Translation Evaluation, Study Finds
Researchers highlight accuracy and fluency significance in translation. Separating the two may enhance machine translation...