Neural Machine Translation
Quality Score Index

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NMT Quality Score Index

Requirements for conducting
a statistically reliable NTM Quality Score Index



For each of the 10 languages, 
we will test 10 different types of material.




Which will require the help of

400-4000 reviewers

For each of the 10 languages, we will test 1
0 different types of material with 40 reviewers each.
Each test will require between 400 (10 x 40) 
and 4,000 (10 x 10 x 40) reviewers.


Who will revise a total of

1 400 000 words

Each reviewer will need to analyze 30 strings with 12 words on average.
In other words, 4,000 projects with total of 1,400,000 words.

The process must be repeated with every major update to the NMT engine software, and after each new cycle of training.


 10 LANGUAGES

x

10 PROJECT TYPES




 

400-4000 


REVIEWERS


 14 400 000


WORDS





10

LANGUAGES

10

TYPES 

OF CONTENT

 10

LEADING WEB-BASED 

ENGINES

400

PROJECTS

4000

REVIEWERS

4,000

REVIEWERS

1,200,000

STRINGS

14,400,000

WORDS

The process must be repeated with every major update to the NMT engine software, and after each new cycle of training.

 10

LEADING 

ENGINES

Read more about our upcoming NMT Index here or click here to download a complete copy of the article.

 

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