Natural Language Processing Icon

Natural Language Processing

Natural language processing (NLP) is the study of how computers and humans interact.
31 episodes
All Topics

Practical AI Practical AI #84

COVID-19 Q&A and CORD-19

Play
2020-04-06T16:45:00Z #coronavirus +2 🎧 8,432

So many AI developers are coming up with creative, useful COVID-19 applications during this time of crisis. Among those are Timo from Deepset-AI and Tony from Intel. They are working on a question answering system for pandemic-related questions called COVID-QA. In this episode, they describe the system, related annotation of the CORD-19 data set, and ways that you can contribute!

Practical AI Practical AI #82

Speech recognition to say it just right

Play
2020-03-23T15:30:00Z #ai +2 🎧 8,820

Catherine Breslin of Cobalt joins Daniel and Chris to do a deep dive on speech recognition. She also discusses how the technology is integrated into virtual assistants (like Alexa) and is used in other non-assistant contexts (like transcription and captioning). Along the way, she teaches us how to assemble a lexicon, acoustic model, and language model to bring speech recognition to life.

Practical AI Practical AI #78

NLP for the world's 7000+ languages

Play
2020-02-24T18:30:00Z #ai +1 🎧 9,809

Expanding AI technology to the local languages of emerging markets presents huge challenges. Good data is scarce or non-existent. Users often have bandwidth or connectivity issues. Existing platforms target only a small number of high-resource languages.

Our own Daniel Whitenack (data scientist at SIL International) and Dan Jeffries (from Pachyderm) discuss how these and related problems will only be solved when AI technology and resources from industry are combined with linguistic expertise from those on the ground working with local language communities. They have illustrated this approach as they work on pushing voice technology into emerging markets.

Practical AI Practical AI #68

Modern NLP with spaCy

Play
2019-12-09T19:35:36Z #ai +1 🎧 10,115

SpaCy is awesome for NLP! It’s easy to use, has widespread adoption, is open source, and integrates the latest language models. Ines Montani and Matthew Honnibal (core developers of spaCy and co-founders of Explosion) join us to discuss the history of the project, its capabilities, and the latest trends in NLP. We also dig into the practicalities of taking NLP workflows to production. You don’t want to miss this episode!

Player art
  0:00 / 0:00