Difference between revisions of "Mirandese and Portuguese"

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Resources for machine translation between [[Mirandese]] and [[Portuguese]]
 
Resources for machine translation between [[Mirandese]] and [[Portuguese]]
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== Developed Resources ==
 
== Developed Resources ==
  
 
* [https://github.swarthmore.edu/Ling073-sp23/ling073-mwl-por-corpus.git Corpus Repo]
 
* [https://github.swarthmore.edu/Ling073-sp23/ling073-mwl-por-corpus.git Corpus Repo]
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* [[Mirandese and Portuguese/Evaluation]]
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* [[Mirandese and Portuguese/Lexical selection]]
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* [[Mirandese and Portuguese/Contrastive Grammar]]
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* [[Mirandese and Portuguese/Structural transfer]]
  
 
== External Resources ==
 
== External Resources ==
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* [https://github.com/ferriswaynen/apertium-por.git Portuguese Transducer]
 
* [https://github.com/ferriswaynen/apertium-por.git Portuguese Transducer]
 
* [https://github.swarthmore.edu/Ling073-sp23/ling073-mwl.git Mirandese Transducer]
 
* [https://github.swarthmore.edu/Ling073-sp23/ling073-mwl.git Mirandese Transducer]
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 +
== Additions ==
 +
 +
* 5 mwl paradigms
 +
* 3 mwl disambiguation rules
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* 3 por disambiguation rules
 +
 +
== Final Evaluation ==
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 +
*Monolingual Transducer:
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** Updated precision & recall:
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***Precision: 98.26590%
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***Recall: 57.23906%
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** Coverage over large corpus: ~0.51365440837854797405
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** Number of words in large corpus: 3066116
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** Number of stems in the transducer: 426
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 +
*mwl-por:
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**WER and PER over large corpus:
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***WER: 37.82 %
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***PER: 34.24 %
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**Proportion of stems translated correctly in the longer corpus: 315
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**Trimmed coverage over longer and large corpora:
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***Longer: 421 / 596 (~0.70637583892617449664)
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***Large: 1574090 / 3075136 (~0.51187654789901975067)
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**Number of tokens in longer and large corpora:
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***Longer: 608
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***Large: 3078793
  
 
[[Category:Sp23_TranslationPairs]] [[Category:Mirandese]] [[Category:Portuguese]]
 
[[Category:Sp23_TranslationPairs]] [[Category:Mirandese]] [[Category:Portuguese]]

Latest revision as of 18:48, 28 April 2023

Resources for machine translation between Mirandese and Portuguese

Developed Resources

External Resources

Additions

  • 5 mwl paradigms
  • 3 mwl disambiguation rules
  • 3 por disambiguation rules

Final Evaluation

  • Monolingual Transducer:
    • Updated precision & recall:
      • Precision: 98.26590%
      • Recall: 57.23906%
    • Coverage over large corpus: ~0.51365440837854797405
    • Number of words in large corpus: 3066116
    • Number of stems in the transducer: 426
  • mwl-por:
    • WER and PER over large corpus:
      • WER: 37.82 %
      • PER: 34.24 %
    • Proportion of stems translated correctly in the longer corpus: 315
    • Trimmed coverage over longer and large corpora:
      • Longer: 421 / 596 (~0.70637583892617449664)
      • Large: 1574090 / 3075136 (~0.51187654789901975067)
    • Number of tokens in longer and large corpora:
      • Longer: 608
      • Large: 3078793