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 TitleDate AddedCompany
whitepaper Effectiveness of Web-Translators2008-04-28 East Carolina University
  Despite the vast research done and technologies built to translate from one language to another, general public is unaware of such technologies. In this paper the three types of practices common in the field of translation, namely Human Translators, Machine Translators, and Hybrid Translators are described. Furthermore, Machine Translators are described in detail and three translators have been tested to evaluate the efficiencies of Machine Translators. Since languages are very complex and many rules have to be considered to translate corpus from one language to another, accurate translations have not been quite possible by machine translators. However, they have been successful in translating technical writing and have successfully maintained gist of the language being translated.   
whitepaper CA ESP Workload Automation Software: Measuring Business Impact and ROI2007-06-01 IDG (International Data Group)
  In May 2006, CA acquired Cybermation to enhance current product strategy and provide a foundation for the next generation of CA's job management software products referred to as "Workload automation". According to CA, Cybermation's ESP product line will play a key role in enhancing CA's workload automation offerings and bolstering commitment and technology leadership in this space. To assess and quantify the business benefits of enterprise job scheduling software, IDC conducted in-depth interviews with IT staff members of 14 organizations using CA ESP Workload Automation (formerly Cybermation ESP) products between January and March 2006, just prior to the acquisition.

Tags: ROI - TCO
  
whitepaper Advanced Global Name Recognition Technology2006-12-14 10:55:17 IBM
  Despite many remarkable advances made in other areas of business automation, automated processing and matching of personal names in databases has languished for decades without significant theoretical or practical advances. The purpose of this paper is to highlight the issues, requirements, and technologies available for automated advanced name recognition.   

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