Difference between revisions of "Nuosu and Mandarin"
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== Resources for machine translation between Nuosu and English == | == Resources for machine translation between Nuosu and English == | ||
| − | == External Resources == | + | === External Resources === |
*[https://github.swarthmore.edu/Ling073-sp22/ling073-iii-zho Nuosu-Mandarin Machine Translation Repository] | *[https://github.swarthmore.edu/Ling073-sp22/ling073-iii-zho Nuosu-Mandarin Machine Translation Repository] | ||
*[https://github.swarthmore.edu/Ling073-sp22/apertium-zho Mandarin(zho) Transducer] | *[https://github.swarthmore.edu/Ling073-sp22/apertium-zho Mandarin(zho) Transducer] | ||
Revision as of 01:01, 13 May 2022
Contents
Resources for machine translation between Nuosu and English
External Resources
- Nuosu-Mandarin Machine Translation Repository
- Mandarin(zho) Transducer
- Nuosu(iii) Transducer
- iii-zho corpus repository
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:
