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TAUS	
  MACHINE	
  TRANSLATION	
  SHOWCASE	
  
Moses in the Mix: A Technology Agnostic Approach to a
Winning MT Strategy!
!
10:50 – 11:10!
Wednesday, 12 June 2013!
!
Lori Thicke!
LexWorks!
Moses	
  in	
  the	
  Mix:	
  
A	
  Technology	
  Agnos-c	
  Approach	
  to	
  	
  
the	
  Winning	
  MT	
  Strategy	
  
•  McKinsey s definition of the T-
shaped company
•  Language Services Provider
(Lexcelera, founded 1986; managing
translators & post-editors)
•  MT Services Provider (training
engines, post-editing, etc.)
•  Technology Agnostic!
What is LexWorks?!
•  Developing new technologies to help MT
work better with community content!
Other	
  Technology	
  Agnos-cs	
  
A good MT strategy should be
technology-agnostic and look for the
most efficient solution on a case-by-case
basis. The type of technology that best
suits your needs will change depending
on the language pair. !
All approaches - SMT, RBMT,
Hybrid - are good when matched
to the course!
The	
  process	
  aims	
  to	
  define	
  best	
  of	
  breed	
  
soluDons	
  for	
  superior	
  performance	
  
MT is not a tool. MT is an industrial
process.!
1.	
  Best	
  of	
  breed	
  means	
  raw	
  MT	
  that	
  is	
  perfectly	
  understandable	
  
MS Translator! Systran Hybrid!
sentences:! %! %!
not understandable! 15.65! 20.87!
partly understandable! 20.00! 34.78!
fully understandable! 64.35! 44.35!
Raw	
  MT	
  for	
  FAQs	
  and	
  Forum	
  Content	
  	
  
MS Translator! Systran Hybrid!
Average score on FAQ article! 2.6! 2.4!
Average score on forum! 2.31! 1.97!
Overall score! 2.48! 2.23!
2. Best of breed means managing
post-editing costs!
3.	
  Best	
  of	
  breed	
  means	
  retaining	
  your	
  post-­‐
editors	
  
4.	
  Best	
  of	
  breed	
  means	
  clear	
  metrics	
  
!
Translation engine!
!
Engine Type!
!
BLEU Score!
!
GTM Score
(SymEval)!
!
Systran !
!
Hybrid!
!
69.74!
!
72.69!
!
Moses!
!
Statistical!
!
50.46!
!
57.93!
!
Microsoft Translator!
!
Statistical!
!
54.01!
!
60.81!
15!
Area! Feature! RBMT! SMT!
Capability!Add rare language pairs! !!
Capability!Number of languages it can handle out of the box! 20! 50!
Cost! Free or Open Source version exists! !! !!
Quality! Respects grammatical rules! !!
Quality! Handles software tags properly! !!
Quality! Output is fluent! !!
Quality! Can handle bad grammar! !!
Quality! Quality improves with Controlled Authoring! !!
Quality! Output is predictable! !!
Quality!
Retains corrections to terminology (and applies
the correct grammar)!
!!
16!
Area! Feature! RBMT! SMT!
Suitability!
Is better for User Generated Content and broad
domain material such as patents!
!!
Suitability!
Is better suited to on-the-fly translations of short
shelf-life content!
!!
Suitability! Is better for documentation and even software! !!
Suitability! Is suited for rare language pairs! !!
Suitability! Is better suited to post-editing! !!
Training! Learns automatically ! !!
Training! Rapid development customization cycle! !!
Training! Effective with limited training corpus! !!
17!
Languages! Online! Hybrid! RBMT! SMT!
French, Spanish! !! !! !! !!
Russian, Japanese, German! !! !!
Norwegian, Danish, Thai! !! !!
18!
Content Type & Other Considerations! Online! Hybrid! RBMT! SMT!
Documentation, reports, online help, UI! !! !!
FAQs, forums, UGC, ! !! !!
Patents, other broad domain! !! !!
Marketing materials!
Insufficient in-domain/out-of-domain data ('I',
'me')!
!! !! !!
Poor grammar, spelling! !! !!
Choose	
  the	
  horse	
  that	
  will	
  win	
  on	
  your	
  
course	
  
19!

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TAUS MT SHOWCASE, Moses in the Mix. A Technology Agnostic Approach to a Winning MT Strategy, Lori Thicke. LexWorks

  • 1. TAUS  MACHINE  TRANSLATION  SHOWCASE   Moses in the Mix: A Technology Agnostic Approach to a Winning MT Strategy! ! 10:50 – 11:10! Wednesday, 12 June 2013! ! Lori Thicke! LexWorks!
  • 2. Moses  in  the  Mix:   A  Technology  Agnos-c  Approach  to     the  Winning  MT  Strategy  
  • 3. •  McKinsey s definition of the T- shaped company •  Language Services Provider (Lexcelera, founded 1986; managing translators & post-editors) •  MT Services Provider (training engines, post-editing, etc.) •  Technology Agnostic! What is LexWorks?!
  • 4. •  Developing new technologies to help MT work better with community content!
  • 5.
  • 6. Other  Technology  Agnos-cs   A good MT strategy should be technology-agnostic and look for the most efficient solution on a case-by-case basis. The type of technology that best suits your needs will change depending on the language pair. !
  • 7.
  • 8. All approaches - SMT, RBMT, Hybrid - are good when matched to the course!
  • 9. The  process  aims  to  define  best  of  breed   soluDons  for  superior  performance   MT is not a tool. MT is an industrial process.!
  • 10. 1.  Best  of  breed  means  raw  MT  that  is  perfectly  understandable   MS Translator! Systran Hybrid! sentences:! %! %! not understandable! 15.65! 20.87! partly understandable! 20.00! 34.78! fully understandable! 64.35! 44.35!
  • 11. Raw  MT  for  FAQs  and  Forum  Content     MS Translator! Systran Hybrid! Average score on FAQ article! 2.6! 2.4! Average score on forum! 2.31! 1.97! Overall score! 2.48! 2.23!
  • 12. 2. Best of breed means managing post-editing costs!
  • 13. 3.  Best  of  breed  means  retaining  your  post-­‐ editors  
  • 14. 4.  Best  of  breed  means  clear  metrics   ! Translation engine! ! Engine Type! ! BLEU Score! ! GTM Score (SymEval)! ! Systran ! ! Hybrid! ! 69.74! ! 72.69! ! Moses! ! Statistical! ! 50.46! ! 57.93! ! Microsoft Translator! ! Statistical! ! 54.01! ! 60.81!
  • 15. 15! Area! Feature! RBMT! SMT! Capability!Add rare language pairs! !! Capability!Number of languages it can handle out of the box! 20! 50! Cost! Free or Open Source version exists! !! !! Quality! Respects grammatical rules! !! Quality! Handles software tags properly! !! Quality! Output is fluent! !! Quality! Can handle bad grammar! !! Quality! Quality improves with Controlled Authoring! !! Quality! Output is predictable! !! Quality! Retains corrections to terminology (and applies the correct grammar)! !!
  • 16. 16! Area! Feature! RBMT! SMT! Suitability! Is better for User Generated Content and broad domain material such as patents! !! Suitability! Is better suited to on-the-fly translations of short shelf-life content! !! Suitability! Is better for documentation and even software! !! Suitability! Is suited for rare language pairs! !! Suitability! Is better suited to post-editing! !! Training! Learns automatically ! !! Training! Rapid development customization cycle! !! Training! Effective with limited training corpus! !!
  • 17. 17! Languages! Online! Hybrid! RBMT! SMT! French, Spanish! !! !! !! !! Russian, Japanese, German! !! !! Norwegian, Danish, Thai! !! !!
  • 18. 18! Content Type & Other Considerations! Online! Hybrid! RBMT! SMT! Documentation, reports, online help, UI! !! !! FAQs, forums, UGC, ! !! !! Patents, other broad domain! !! !! Marketing materials! Insufficient in-domain/out-of-domain data ('I', 'me')! !! !! !! Poor grammar, spelling! !! !!
  • 19. Choose  the  horse  that  will  win  on  your   course   19!