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Where does language Fit in with big data? [Recurso electrónico]

Por: Tipo de material: Recurso continuoRecurso continuoSeries The ATA Chronicle : number 4, volume XLV, July/August 2016 ; vol. 45; n. 4Detalles de publicación: Alexandria, VA : American Translator Association , july-august 2016Descripción: p. 16-19ISSN:
  • 1078-6457
Tema(s): Recursos en línea: En: The ATA Chronicle, volume XLV, number 4 American Translator AssociationResumen: For the diverse universe of digital content generated by big data to be useful, it requires transformation for different channels (such as web, mobile, and print), conversion for various applications, and localization for other markets. This is an area of opportunity for translators and interpreters. Go to any conference and you'll find a few new additions to the usual buzzword bingo of industry jargon-"big data" and numbers with lots of zeroes. You'll hear about the massive growth in digitized data, how often a given sector's knowledge base doubles, and what companies are doing to manage and interpret that flood of data. This burgeoning trove of bytes includes structured databases, application code, images, videos, and text. You'll also hear about machine learning and how big data contributes to making software more responsive and useful to customers' needs.
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For the diverse universe of digital content generated by big data to be useful, it requires transformation for different channels (such as web, mobile, and print), conversion for various applications, and localization for other markets. This is an area of opportunity for translators and interpreters. Go to any conference and you'll find a few new additions to the usual buzzword bingo of industry jargon-"big data" and numbers with lots of zeroes. You'll hear about the massive growth in digitized data, how often a given sector's knowledge base doubles, and what companies are doing to manage and interpret that flood of data. This burgeoning trove of bytes includes structured databases, application code, images, videos, and text. You'll also hear about machine learning and how big data contributes to making software more responsive and useful to customers' needs.

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