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Using Distributed Computing to Improve Natural Language Processing

Using Distributed Computing to Improve Natural Language Processing. Research by University of Texas at Austin Summarized by Chris Moore. How It is Different . Based on relationships instead of semantics or attempts to decipher a dictionary

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Using Distributed Computing to Improve Natural Language Processing

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  1. Using Distributed Computing to Improve Natural Language Processing Research by University of Texas at Austin Summarized by Chris Moore

  2. How It is Different • Based on relationships instead of semantics or attempts to decipher a dictionary • Systems are given huge amounts of input text and determine implicit relations between words • Distributed computing is needed for the huge amount of computations developing these relationships

  3. How It Works • Charge

  4. Why It Is Important • Natural Language processing is in its infancy • Can benefit the following fields • Healthcare • Translation software • Personal applications • Advancements will lead to systems that are much easier to use

  5. Sources • http://www.sciencedaily.com/releases/2013/08/130824131405.htm • www.newswise.com/articles/university-of-texas-linguistics-researcher-develops-new-system-to-help-computers-learn-natural-language

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