Deploying Natural Language Processing Beyond English
, NVIDIA
, Hugging Face
, Group42
, Tinkoff
Despite substantial progress in natural language processing (NLP) and its commercial success in recent years, the availability of models in other significant languages, such as Hindi, Arabic, Portuguese, or Spanish is limited — not to mention the other approximately 6,500 languages spoken around the world. The situation is even more complex with domain-specific models (specialized for medical, technical, or legal jargon, or non-natural languages such as code), where only a few high-quality models besides English exist. We've brought together business leaders who've identified transformational opportunities associated with developing localized and/or specialized language models and will discuss with them the challenges of bringing this bleeding-edge technology to production, as well as the impact NLP is having on their business.