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City Rich Phrase / / Company IBM / Stanford University NLP Group / Penn Treebank / French Treebank / / Country United States / / / Facility Stanford CoreNLP pipeline / Stanford University / / IndustryTerm online learning / batch algorithm / online tuning algorithm / adaptive tuning algorithm / feature decay algorithm / automatic inflection correction post-processing step / adaptive online training / Online algorithms / closed-form solution / machine translation using feature decay algorithms / pre-processing / / Organization Defense Advanced Research Projects Agency / Department of Linguistics / US government / Stanford University / FDA / idf / Christopher D. Manning Computer Science Department / / Person Rob Voigt / John Bauer Sida Wang / Natalia Silveira / Daniel Cer / Kevin Reschke / Julia Neidert / Christopher D. Manning / / Position author / Singer / / Product KenLM / / PublishedMedium Computational Linguistics / / SportsLeague Stanford University / / Technology Machine Translation / online tuning algorithm / machine translation using feature decay algorithms / batch algorithm / feature decay algorithm / adaptive tuning algorithm / tuning algorithm / / SocialTag 
Feature-Rich Phrase-based Translation: Stanford University’s Submission to the WMT 2013 Translation Task Spence Green, Daniel Cer, Kevin Reschke, Rob Voigt* , John Bauer Sida Wang, Natalia Silveira† , Julia Neidert a