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Phrasal: A Statistical Phrase-based Machine Translation System


Stanford Reference:

15-036


Abstract


FOR ALL LICENSING INQUIRIES PLEASE EMAIL NLP Licensing.

Phrasal is a statistical phrase-based machine translation system. It provides all components necessary to build a state-of-the-art translation system from raw text. Recent improvements include support for training large-scale, feature-rich models, and for interactive machine translation. Unlike Moses and cdec, two popular MT toolkits, Phrasal is written in Java, so it can be deployed in J2EE production environments.

This technology is available under GPL here

If a commercial license under alternative terms is desired then please contact the licensing contact below.

Applications


  • Automatic human language translation.

Advantages


  • Fast, online tuning of feature-rich translation models
  • Interactive decoding for interactive machine translation

Innovators & Portfolio



Date Released

 11/9/2015 12:00
 

Licensing Contact


Imelda Oropeza, Senior Licensing Manager, Physcial Sciences
650-725-9039 (Business)
Request Info

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Related Keywords


PS: software: NLP (natural language processing)   language translation   machine translation