Practical AI NLP for the world's 7000+ languages
Feb 24, 2020
Dan Jeffries, Chief Technical Evangelist at Pachyderm, discusses the challenges of expanding AI to over 7,000 languages, focusing on issues like scarce data and connectivity. He emphasizes the need for collaboration between tech and local language experts to push voice technology into emerging markets. Jeffries also highlights the critical role AI can play in preserving linguistic diversity and the significant impact of innovative, open-source approaches for underrepresented languages. This approach could empower communities and enhance communication on a global scale.
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Local Languages Matter
- Half the world speaks 7,000+ local languages, often marginalized due to lack of AI support.
- This marginalization impacts education, healthcare, and other crucial areas, hindering progress and development.
Two-Way Communication
- Applying AI to local languages offers a two-way street for communication and understanding.
- It enables marginalized communities to contribute to global conversations and share valuable perspectives.
Nuance in Language
- Dan Jeffries discusses the loss of nuance in language using the example of multiple Greek words for "love".
- Different languages offer unique ways of thinking and understanding, enriching global perspectives.
