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Machine Learning in Natural Language Processing

For our May meeting Kevin Scannell, Professor of Mathematics and Computer Science at Saint Louis University will be discussing Natural Language Processing.

We'll have food and drink available. Room 5206 @ 4444 Forest Park Avenue.

Many of the advances in machine translation and speech recognition
over the last twenty years are due to the introduction of statistical
techniques. I will explain two fundamental ideas that drive a lot of
the work in the field of Natural Language Processing: (1) the
"noisy-channel" model and (2) the Expectation Maximization (EM)
algorithm. I'll give plenty of concrete examples showing how these
ideas are used in practice.

Join or login to comment.

  • Drew W.

    Don't forget to join us for Random Hacks of Kindness St. Louis. Remember to RSVP on Facebook and Eventbrite. All skill levels and backgrounds are welcome and needed.

    (for social posting and connecting)
    (required for regestration)

    May 16, 2013

  • A former member
    A former member

    Is there a link for the random hacks of kindness event that we talked about?

    May 16, 2013

  • Peter H.

    This was a very interesting topic. It was great to get some understanding of the NLP models. I'm saddened by the effect of internet technologies on some languages.

    1 · May 16, 2013

  • Kyu

    What a great way to start my joining this group. Excellent, informative presentation. Thank you!

    May 16, 2013

  • Steven B.

    That was a phenomenal talk by Dr. Scannell. Group members asked a ton of great questions. Check out his other site:

    1 · May 15, 2013

  • Anupam B.

    Thanks for the wonderful presentation. Learned a lot.

    May 15, 2013

  • Tom W.

    This was an incredibly interesting presentation -- I really enjoyed it.

    May 15, 2013

  • Jeff F.

    Ask attendees

    May 13, 2013

  • Bill Z.

    I'm looking forward to hearing what Dr. Scannell has to say! :)

    May 1, 2013

  • John Y.

    Good topic. I look forward to it.

    May 1, 2013

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