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Using Distributed Computing to Improve Natural Language Processing

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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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