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TAUS MT SHOWCASE, TAUS DQF, Rahzeb Choudhury, TAUS, 10 April 2013
 

TAUS MT SHOWCASE, TAUS DQF, Rahzeb Choudhury, TAUS, 10 April 2013

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This presentation is a part of the MosesCore project that encourages the development and usage of open source machine translation tools, notably the Moses statistical MT toolkit. ...

This presentation is a part of the MosesCore project that encourages the development and usage of open source machine translation tools, notably the Moses statistical MT toolkit.

MosesCore is supported by the European Commission Grant Number 288487 under the 7th Framework Programme.

For the latest updates, follow us on Twitter - #MosesCore

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    TAUS MT SHOWCASE, TAUS DQF, Rahzeb Choudhury, TAUS, 10 April 2013 TAUS MT SHOWCASE, TAUS DQF, Rahzeb Choudhury, TAUS, 10 April 2013 Presentation Transcript

    • TAUS  MACHINE  TRANSLATION  SHOWCASE  TAUS  Dynamic  Quality  Framework  Tools    15:50  –  16:10  Wednesday,  10  April  2013    Rahzeb  Choudhury  TAUS  
    • This slide may not be used or copied without permission from TAUSMetrics  
    •  •  We  need  to  go  up  and  down  in  quality  and  the  translaLon  industry’s  use  of  quality  evalua9on  models  and  metrics  needed  to  reflect  this,    •  We  need  industry  benchmarking  to  strengthen  and  improve  the  credibility  of  quality  assurance  processes,    •  We  need  to  lower  cost  of  quality  assurance  at  buyers  and  providers.    "    We  achieve  this  through  an  industry  shared                knowledge  base  and  shared  tools                for  benchmarking.    Metrics:  Dynamic  Quality  Framework  
    • Metrics:  DQF  ü  CA  Technologies  ü  Cisco  ü  Dell  ü  EMC  ü  eBay    ü  Google  ü  HewleV  Packard  ü  Intel  ü  Medtronic  ü  MicrosoY  ü  Oracle  ü  Philips  ü  PTC  ü  Siemens  ü  Spil  Games  ü  Yahoo!        
    • Metrics:  Best  Prac8ces  
    • Metrics:  Appropriateness  
    • Metrics:  Tools  
    • Metrics:  Repor8ng  ü  See  how  you  compare  against  peers  ü  Drill  down  to  see  the  impact  of  individuals    ü  Assess  correlaLon  between  automated  metrics  and  human  evaluaLon  ü  Shared  learning  to  feed  fundamental  research      Apply  objec8ve  criteria  and  raise  the  credibility  of  transla8on  quality  assurance  func8on  across  the  industry  
    • Metrics:  Common  Goals