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Training Non-Parametric Features for Statistical Machine Translation Patrick Nguyen, Milind Mahajan and Xiaodong He Microsoft Corporation 1 Microsoft Way, Redmond, WA 98052 {panguyen,milindm,xiaohe}@microsoft.com
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Document Date: 2007-05-18 09:55:52


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File Size: 162,31 KB

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City

NIST / Prague / Dependency / /

Company

BP / Wiley & Sons / Oracle / /

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Facility

Prentice Hall / National Institute of Standards and Technology / /

IndustryTerm

gradient algorithms / non-parametric processing / line search / linear-time algorithm / gradient ascent algorithm / generic solution / statistical machine translation systems / /

Organization

National Institute of Standards and Technology / Association for Computational Linguistics / /

Person

V. Della Pietra / A. Berger / S. Della Pietra / K. Eng / V / Della Pietra / Duda / Patrick Nguyen / /

Position

RT / /

Product

Microsoft Corporation Portable Audio Device / RProp / /

PublishedMedium

Computational Linguistics / /

Technology

Adaptive Learning Algorithm / machine translation system / speech recognition / Natural Language Processing / Machine Translation / gradient algorithms / 2.5 Training Algorithm / Stochastic Approximation Algorithms / Maximum Empirical Bayes Reward The algorithm / linear-time algorithm / same algorithm / gradient ascent algorithm / /

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