| Document Date: 2006-05-05 19:20:43
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City Statistical Phrase / Philadelphia / Edmonton / Tampere / Cambridge / Pukhet / New York City / Aalborg / / Company Raj / IBM / Whittaker / / Country Thailand / United States / Canada / Finland / Denmark / / / Facility Store Term Frequencies / Harvard University / / IndustryTerm natural language processing tasks / heuristic algorithms / k-means algorithms / quantization algorithms / local optimal solution / / Organization Association for Computational Linguistics English / Harvard University / European Parliament / / Person Nicola Bertoldi / N. Netanyahu / Federico / / / ProvinceOrState Pennsylvania / / PublishedMedium Computational Linguistics / / Technology speech recognition / natural language processing / machine translation / k-means algorithms / quantization algorithms / k-means Lloyd-Max algorithm / / URL www.tc-star.org / www.nist.gov/speech/tests/mt / www.ldc.upenn.edu / www.cs.umd.edu/∼mount/Projects/KMeans / /
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How Many Bits Are Needed To Store Probabilities for Phrase-Based Translation? Marcello Federico and Nicola Bertoldi ITC-irst - Centro per la Ricerca Scientifica e Tecnologica[removed]Povo - Trento, Italy {federico,bertoldi