IBM / MIT Press / Phrasal / Microsoft Corporation / Rand Corp. / /
Country
United States / / /
Facility
Stanford University / /
IndustryTerm
online loss functions / online learning / search procedure / larger-scale systems / online tuner / multi-stack beam search / adaptive online training / line search / web service / online tuning / Web Service Machine translation output / arbitrary pre-processor / servlet / feature-rich systems / search errors / Web Service The / search procedure force / machine translation systems / multi-threaded decoding / post-processing / web-based interactive machine translation / search space / search procedures / post-processor / rule extraction algorithm / /
Organization
Defense Advanced Research Projects Agency / National Science Foundation / MIT / US government / Christopher D. Manning Computer Science Department / Stanford University / /
Person
References W. Ammar / V / Y. Cao / J. Weese / C. Callison-Burch / Michel Galley / L. Orland / Daniel Cer / J. Ganitkevitch / Christopher D. Manning / /
Position
extractor / Pharaoh / first author / Alignment The rule extractor / author / Singer / unigram orientation model for statistical machine translation / designer / rule extractor / hierarchical model of Galley / Java parallel garbage collector / i-j Pharaoh / /
Phrasal: A Toolkit for New Directions in Statistical Machine Translation Spence Green, Daniel Cer, and Christopher D. Manning Computer Science Department, Stanford University {spenceg,danielcer,manning}@stanford.edu Abs