Difference between revisions of "Nuosu and Mandarin"

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== Resources for machine translation between Nuosu and English ==
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= Resources for machine translation between Nuosu and English =
  
 
=== External Resources  ===
 
=== External Resources  ===
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*[https://github.swarthmore.edu/Ling073-sp22/ling073-iii Nuosu(iii) Transducer]
 
*[https://github.swarthmore.edu/Ling073-sp22/ling073-iii Nuosu(iii) Transducer]
 
*[https://github.swarthmore.edu/Ling073-sp22/ling073-iii-zho-corpus iii-zho corpus repository]
 
*[https://github.swarthmore.edu/Ling073-sp22/ling073-iii-zho-corpus iii-zho corpus repository]
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== Additions ==
 
== Additions ==

Revision as of 01:02, 13 May 2022

Resources for machine translation between Nuosu and English

External Resources

Additions

Disambiguation

  • Added a rule that distinguishes adverbs and main verbs (ex. ꃅ)
  • Added a rule that distinguishes exhaustion particles and main verbs for (ex. ꌐ)
  • Added a rule that distinguishes end-of-sentence particles and main verbs for (ex. ꄉ)

Structural Transfer

  • Added one more sentence for each of the five rules, bringing the total to 10 sentences
  • Added a rule which added an adjective-specific marker when translating to Mandarin.
  • Added a rule which specified the explicit topic marker in Nuosu
  • Changed the rule that specified the organization of NP and ClP phrases

Adding Stems

  • Added 100 new stems

Polished RBMT System

Nuosu Transducer

  • Precision: %
  • Recall: %
  • Coverage over large corpus: 182179 / 243953 (~0.74677909269408451628) remaining unknown forms: 61774
  • Stems in transducer: 276


MT iii->zho

  • Over : iii.longer.text
    • Word Error Rate (WER):  %
    • Position-independent word error rate (PER):  %
    • Percentage of unknown words:  %
    • Number of position-independent correct words:
    • Coverage: