Neuphonic Raises GBP 3M Pre-Seed for Multilingual Voice AI
The start-up launches its text-to-speech tool and claims ultra-low latency within months of operating, as...
#natural language processing
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Do Linguistics Still Matter in the Age of Large Language Models?
Researchers from the University of Zurich and Georgetown University discuss the importance of linguistic expertise...
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...
How to Extend Multilingual Machine Translation Models to New Languages
Researchers at Ludwig Maximilian University show how to extend multilingual neural machine translation models to...
Researchers Propose New Approach to Many-to-Many Spoken Language Translation
KAIST and Google DeepMind researchers propose training a single model using Unit-to-Unit Translation to achieve...
Cohere Raises USD 270M in Series C as Large Language Model Arms Race Heats Up
Cohere raises USD 270m in series C funding from investors including chip giant NVIDIA as...
Realistic Dialogues, No Translation: Google Unveils Dataset for Virtual Assistant Training
A group of researchers at Google found that realistic dialogues with no translation and structured...
Inside the Large Language Model Revolution with Nikola Nikolov
Nikola Nikolov on the evolution of large language models, their potential and limitations, the pros...
NLP Startup NuMind Raises USD 3M in Seed Funding
Natural language processing (NLP) software startup NuMind has raised USD 3m to help companies create...
Key Takeaways from the University of Surrey’s Convergence Conference
Academics, technologists, and business leaders convene at the University of Surrey to address the many...
How Does Large Language Model BLOOM Perform for Machine Translation?
Researchers test BLOOM’s capabilities for producing good quality machine translation. They find that training the...