Statistical Machine Translation

Statistical machine translation (SMT) is a machine translation paradigm where translations are generated on the basis of statistical models whose parameters are derived from the analysis of bilingual text corpora. The statistical approach contrasts with the rule-based approaches to machine translation as well as with example-based machine translation.[citation needed]The first ideas of statistical machine translation were introduced by Warren Weaver in 1949, including the ideas of applying Claude Shannon's information theory. Statistical machine translation was re-introduced in 1993 by researchers at IBM's Thomas J.
Posts about Statistical Machine Translation
  • New Panda Update; New Panda Patent Application

    … Information extraction Others I’ve linked to the patent filing if you want to go through it, and discuss different aspects of it. While it’s possible that it discusses a separate and different content scoring algorithm other than an update to Panda, the timing is interesting, and it’s worth thinking about. …

    Bill Slawski/ SEO by the Seain SEO Google- 17 readers -
Get the top posts daily into your mailbox!