Under Resourced Languages

from Data Skeptic · host Kyle Polich with guest Priyanka Biswas

Priyanka Biswas joins us in this episode to discuss natural language processing for languages that do not have as many resources as those that are more commonly studied such as English. Successful NLP projects benefit from the availability of like large corpora, well-annotated corpora, software libraries, and pre-trained models. For languages that researchers have not paid as much attention to, these tools are not always available.

Episode metadata supplied by the publisher feed · Published Jun 15, 2019

Embed this episode

Attribution link and audio player

Ready to play

Under Resourced Languages

0:00 16:47

1×

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

Share this episode

Similar Episodes

No similar episodes found.

Similar Podcasts

AI Daily News Podcast Really Easy AI AI Daily News: Your premier source for cutting-edge artificial intelligence updates! Dive into the world of machine learning, deep learning, and data science with our daily tech briefings. From neural networks to natural language processing, we cover groundbreaking AI research, innovative applications, and industry trends. Explore the latest in computer vision, robotics, autonomous systems, and the Internet of Things. Stay informed on AI ethics, machine learning algorithms, and the transformative impact of AI on business, healthcare, and society. https://www.youtube.com/@AINewsFresh Gytis Tech Podcast Inretio Data professional and tech enthusiast from Lithuania, covering tech topics including open source software, smart home automation, web development, automotive diagnostics and more.

Frequently Asked Questions

How long is this episode of Data Skeptic?

This episode is 16 minutes long.

When was this Data Skeptic episode published?

This episode was published on June 15, 2019.

Can I download this Data Skeptic episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.

URL copied to clipboard!