Difference between revisions of "Magahi and English"

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(Final Evaluation)
 
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Resources for machine translation between English and [https://wikis.swarthmore.edu/ling073/Magahi Magahi]
 
Resources for machine translation between English and [https://wikis.swarthmore.edu/ling073/Magahi Magahi]
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[[Category:Sp21_TranslationPairs]][[Category:English]][[Category:Magahi]]
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= External resources =
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* [https://github.swarthmore.edu/Ling073-sp21/ling073-mag-eng Language Pair Repository]
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** [https://wikis.swarthmore.edu/ling073/Magahi_to_English_Evaluation Evaluation of Translator]
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* [https://github.swarthmore.edu/Ling073-sp21/ling073-mag Magahi Transducer Repository]
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* [https://github.com/apertium/apertium-eng English Transducer Repository]
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* [https://wikis.swarthmore.edu/ling073/Magahi_and_English/Contrastive_Grammar Contrastive Grammar]
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* Corpus Repositories
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** [https://github.swarthmore.edu/Ling073-sp21/ling073-mag-eng-corpus Parallel Corpus]
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** [https://github.swarthmore.edu/Ling073-sp21/ling073-mag-corpus Just Magahi]
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= Additions =
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* 106 new words
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* 3 new morphological disambiguation rules
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* 3 new transfer rules: objects, adverbs, pronouns
  
[[Category:Sp21_TranslationPairs]][[Category:English]][[Category:Magahi]]
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= Final Evaluation =
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* Precision and Recall
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** Precision: 96.58120%
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** Recall: 83.91089%
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* Coverage: 47.103343307228314662%
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* Words in large corpus: 3678603
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* Stems in transducer: 359
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* WER over longer: 95.79%
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* PER over longer: 80.06%
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* Proportion of stems translated correctly: 80.16%
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* Trimmed coverage
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** longer: 31.049624650363566%
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** large: 80.37135278514589%
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* Number of tokens in
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** longer: 321
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** large: 2,661,822

Latest revision as of 12:07, 10 May 2021

Resources for machine translation between English and Magahi

External resources

Additions

  • 106 new words
  • 3 new morphological disambiguation rules
  • 3 new transfer rules: objects, adverbs, pronouns

Final Evaluation

  • Precision and Recall
    • Precision: 96.58120%
    • Recall: 83.91089%
  • Coverage: 47.103343307228314662%
  • Words in large corpus: 3678603
  • Stems in transducer: 359
  • WER over longer: 95.79%
  • PER over longer: 80.06%
  • Proportion of stems translated correctly: 80.16%
  • Trimmed coverage
    • longer: 31.049624650363566%
    • large: 80.37135278514589%
  • Number of tokens in
    • longer: 321
    • large: 2,661,822