Difference between revisions of "Quality score formula"

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=='''Quality score formula visualisation and interpretation'''==
  
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== How Quality Score is calculated? ==
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[[File:QSF.png|border|1000px]]
  
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;1. Account score limit
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:The highest possible score (100 by default). Can be set on this page: [[https://cloud.tqauditor.com/system/evaluation-settings Evaluation settings]]
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;2. Mistake severity score
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:Score of  mistake by its severity (for example, 1 point for minor and 5 points for major mistakes). Can be set on this page: [[https://cloud.tqauditor.com/mistake-severity/index Mistake severities list]]
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;3. Mistake type weight
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:Weight of a specific mistake type by specialization. Can be adjusted on this page [[https://cloud.tqauditor.com/mistake-type/index Mistake types list]]
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;4. SUM
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:A sum of products of #2 and #3 for all the mistakes.
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;5. Project evaluation word count
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:''Automatic word count'': The value from the "Total source words" field in the "Evaluation details" section (not the Total source words of a file). Please see the [[Evaluation_report#Automatic_vs._manual_word_count|Automatic vs. manual word count]] page.
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:''Manual word count'': The value from the "Evaluated source words" field (specified when starting the evaluation with a manual word count).
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;6. 1000
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:In the end, the result is always converted to 1000, a most optimal value.
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The mistake severity scores, mistake type weights, and reports are based on this 1000-word amount. For example, a critical mistake with score of 20 with weight coefficient of 1 reduces the quality score by 20 per 1000 words (by 10 per 2000 words, accordingly, and so on).
  
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Quality score reflects the number of mistakes made per 1000 words of translated text.
 
  
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The formula is: Q=E/V*1000, where
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For more information, please check the [[Quality score formula:Details and versions|Quality score formula:Details and versions]] page.
  
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Q – Quality score
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=='''Quality score calculation examples'''==
  
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E – Number of mistake points scored for the selected piece of text
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In the examples below, the following quality standard is used:
  
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V – The volume of text in which the mistakes were found.
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[[File:QS.png|border|300px]]
  
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E.g. the text contains 500 words and contains 12 mistake points, the quality score will be 12/500*1000=24
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[[File:QS1.png|border|1000px]]
  
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== How the number of translated words is selected? ==
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===Automatic word count===
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‎<br />
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;File details&#58;
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:Total source words: 3126
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:Fully reviewed: yes
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:Number of units (segments): 392
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:Project specialization - marketing
  
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;Evaluation settings&#58;
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[[File:EAS.png|border|300px]]
  
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Before starting the evaluation, the reviewer selects the number of words to evaluate:
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;Evaluation details&#58;
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:Total source words: 1749
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:Source words in corrected units: 1002
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'''Mistakes:'''
  
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[[File:Evaluation report-configure evaluation process.png]]
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# <span style="color:red">'''Major'''</span> ('''<span style="color:blue">3</span>''' points each):
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## Terminology: '''1''' (weight coefficient '''<span style="color:DarkTurquoise">1</span>''')
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## Grammar: '''1''' (weight coefficient '''<span style="color:DarkTurquoise">1.2</span>''')
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# <span style="color:orange"> '''Minor'''</span> ('''<span style="color:blue">1</span>''' point each):
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## Grammar: '''3''' (weight coefficient '''<span style="color:DarkTurquoise">1.2</span>''')
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## Functional: '''2''' (weight coefficient '''<span style="color:DarkTurquoise">1</span>''')
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# <span style="color:green"> '''Repetitive'''</span> ('''<span style="color:blue">0.01</span>''' point each):
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## Functional: '''6''' (weight coefficient '''<span style="color:DarkTurquoise">1</span>''')
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## Layout: '''8''' (weight coefficient '''<span style="color:DarkTurquoise">1</span>''')
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# <span style="color:#6C3483"> '''Non-scoring'''</span> ('''<span style="color:blue">0</span>''' points each):
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## Style: '''5''' (weight coefficient '''<span style="color:DarkTurquoise">1.2</span>''')
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## Terminology: '''3''' (weight coefficient '''<span style="color:DarkTurquoise">1</span>''')
  
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The system will randomly find the piece of text with corrected segments containing the indicated number of words. And the size of this text may differ depending on the percentage of corrections. E.g. when you select 300 words to evaluate, they may be found in a piece of text containing 500, 1000, or even 10000 translated words. You’ll just get your 300 words with corrections to classify mistakes, and the system will remember how many total words are contained in the selected piece. You’ll be able to see these numbers on evaluation page:
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:'''Total mistakes''': '''29'''
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:'''SUM''': '''1'''*'''<span style="color:blue">3</span>'''*'''<span style="color:DarkTurquoise">1</span>'''+'''1'''*'''<span style="color:blue">3</span>'''*'''<span style="color:DarkTurquoise">1.2</span>'''+'''3'''*'''<span style="color:blue">1</span>'''*'''<span style="color:DarkTurquoise">1.2</span>'''+'''2'''*'''<span style="color:blue">1</span>'''*'''<span style="color:DarkTurquoise">1</span>'''+'''6'''*'''<span style="color:blue">0.01</span>'''*'''<span style="color:DarkTurquoise">1</span>'''+'''8'''*'''<span style="color:blue">0.01</span>'''*'''<span style="color:DarkTurquoise">1</span>'''+'''5'''*'''<span style="color:blue">0</span>'''*'''<span style="color:DarkTurquoise">1.2</span>'''+'''3'''*'''<span style="color:blue">0</span>'''*'''<span style="color:DarkTurquoise">1</span>'''=3+3.6+3.6+2+0.06+0.08+0+0='''12.34'''
  
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[[File: Corrected_text.png]]
 
  
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And the system will use the total number of words as V in the formula above.
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;Quality score calculation&#58;
  
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Using the [[Quality_score_formula#Quality_score_formula_visualisation_and_interpretation|formula]]:
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100-(12.34/1749*1000)=92.94
  
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[[File:QSA.png|border|300px]]
  
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== Why is it made that way? ==
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----
  
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We came to this through several stages of evolution.
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===Manual word count===
  
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First, the system was selecting just the beginning of the text, and we found out the translators started to translate first 1000 words better then the rest of the text. So we decided to select the random part of the text. But then the system sometimes selected the pieces containing no corrections while skipping heavily corrected parts. So we changed the logic, and now the system returns the required number of corrections to the evaluator, but remembers how much text it took to find these corrections.
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‎<br />
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;File details&#58;
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:Total source words: 3126
 +
:Fully reviewed: no
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:Number of words in a reviewed part of the file: around 1500
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:Number of units (segments): 392
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:Project specialization - marketing
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;Evaluation settings&#58;
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:‎Evaluated source words: 1500<br />
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;Evaluation details&#58;
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:Corrected units: 227
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:Total source words: 1500
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'''Mistakes:'''
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# <span style="color:red">'''Major'''</span> ('''<span style="color:blue">3</span>''' points each):
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## Terminology: '''1''' (weight coefficient '''<span style="color:DarkTurquoise">1</span>''')
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## Grammar: '''1''' (weight coefficient '''<span style="color:DarkTurquoise">1.2</span>''')
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# <span style="color:orange"> '''Minor'''</span> ('''<span style="color:blue">1</span>''' point each):
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## Grammar: '''3''' (weight coefficient '''<span style="color:DarkTurquoise">1.2</span>''')
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## Functional: '''2''' (weight coefficient '''<span style="color:DarkTurquoise">1</span>''')
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# <span style="color:green"> '''Repetitive'''</span> ('''<span style="color:blue">0.01</span>''' point each):
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## Functional: '''6''' (weight coefficient '''<span style="color:DarkTurquoise">1</span>''')
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## Layout: '''8''' (weight coefficient '''<span style="color:DarkTurquoise">1</span>''')
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# <span style="color:#6C3483"> '''Non-scoring'''</span> ('''<span style="color:blue">0</span>''' points each):
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## Style: '''5''' (weight coefficient '''<span style="color:DarkTurquoise">1.2</span>''')
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## Terminology: '''3''' (weight coefficient '''<span style="color:DarkTurquoise">1</span>''')
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:'''Total mistakes''': '''29'''
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:'''SUM''': '''1'''*'''<span style="color:blue">3</span>'''*'''<span style="color:DarkTurquoise">1</span>'''+'''1'''*'''<span style="color:blue">3</span>'''*'''<span style="color:DarkTurquoise">1.2</span>'''+'''3'''*'''<span style="color:blue">1</span>'''*'''<span style="color:DarkTurquoise">1.2</span>'''+'''2'''*'''<span style="color:blue">1</span>'''*'''<span style="color:DarkTurquoise">1</span>'''+'''6'''*'''<span style="color:blue">0.01</span>'''*'''<span style="color:DarkTurquoise">1</span>'''+'''8'''*'''<span style="color:blue">0.01</span>'''*'''<span style="color:DarkTurquoise">1</span>'''+'''5'''*'''<span style="color:blue">0</span>'''*'''<span style="color:DarkTurquoise">1.2</span>'''+'''3'''*'''<span style="color:blue">0</span>'''*'''<span style="color:DarkTurquoise">1</span>'''=3+3.6+3.6+2+0.06+0.08+0+0='''12.34'''
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;Quality score calculation&#58;
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Using the [[Quality_score_formula#Quality_score_formula_visualisation_and_interpretation|formula]]:
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100-(12.34/1500*1000)=91.77
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[[File:QSM.png|border|300px]]

Latest revision as of 15:20, 28 January 2022

Quality score formula visualisation and interpretation

QSF.png

1. Account score limit
The highest possible score (100 by default). Can be set on this page: [Evaluation settings]
2. Mistake severity score
Score of mistake by its severity (for example, 1 point for minor and 5 points for major mistakes). Can be set on this page: [Mistake severities list]
3. Mistake type weight
Weight of a specific mistake type by specialization. Can be adjusted on this page [Mistake types list]
4. SUM
A sum of products of #2 and #3 for all the mistakes.
5. Project evaluation word count
Automatic word count: The value from the "Total source words" field in the "Evaluation details" section (not the Total source words of a file). Please see the Automatic vs. manual word count page.
Manual word count: The value from the "Evaluated source words" field (specified when starting the evaluation with a manual word count).
6. 1000
In the end, the result is always converted to 1000, a most optimal value.

The mistake severity scores, mistake type weights, and reports are based on this 1000-word amount. For example, a critical mistake with score of 20 with weight coefficient of 1 reduces the quality score by 20 per 1000 words (by 10 per 2000 words, accordingly, and so on).


For more information, please check the Quality score formula:Details and versions page.

Quality score calculation examples

In the examples below, the following quality standard is used:

QS.png

QS1.png

Automatic word count

‎

File details:
Total source words: 3126
Fully reviewed: yes
Number of units (segments): 392
Project specialization - marketing
Evaluation settings:

EAS.png

Evaluation details:
Total source words: 1749
Source words in corrected units: 1002

Mistakes:

  1. Major (3 points each):
    1. Terminology: 1 (weight coefficient 1)
    2. Grammar: 1 (weight coefficient 1.2)
  2. Minor (1 point each):
    1. Grammar: 3 (weight coefficient 1.2)
    2. Functional: 2 (weight coefficient 1)
  3. Repetitive (0.01 point each):
    1. Functional: 6 (weight coefficient 1)
    2. Layout: 8 (weight coefficient 1)
  4. Non-scoring (0 points each):
    1. Style: 5 (weight coefficient 1.2)
    2. Terminology: 3 (weight coefficient 1)
Total mistakes: 29
SUM: 1*3*1+1*3*1.2+3*1*1.2+2*1*1+6*0.01*1+8*0.01*1+5*0*1.2+3*0*1=3+3.6+3.6+2+0.06+0.08+0+0=12.34


Quality score calculation:

Using the formula: 100-(12.34/1749*1000)=92.94

QSA.png

Manual word count

‎

File details:
Total source words: 3126
Fully reviewed: no
Number of words in a reviewed part of the file: around 1500
Number of units (segments): 392
Project specialization - marketing
Evaluation settings:
‎Evaluated source words: 1500
Evaluation details:
Corrected units: 227
Total source words: 1500

Mistakes:

  1. Major (3 points each):
    1. Terminology: 1 (weight coefficient 1)
    2. Grammar: 1 (weight coefficient 1.2)
  2. Minor (1 point each):
    1. Grammar: 3 (weight coefficient 1.2)
    2. Functional: 2 (weight coefficient 1)
  3. Repetitive (0.01 point each):
    1. Functional: 6 (weight coefficient 1)
    2. Layout: 8 (weight coefficient 1)
  4. Non-scoring (0 points each):
    1. Style: 5 (weight coefficient 1.2)
    2. Terminology: 3 (weight coefficient 1)
Total mistakes: 29
SUM: 1*3*1+1*3*1.2+3*1*1.2+2*1*1+6*0.01*1+8*0.01*1+5*0*1.2+3*0*1=3+3.6+3.6+2+0.06+0.08+0+0=12.34


Quality score calculation:

Using the formula: 100-(12.34/1500*1000)=91.77

QSM.png

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