Difference between revisions of "Kaingang and Portuguese/Structural Transfer"
From LING073
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==Examples for implementation== | ==Examples for implementation== | ||
'''Sentence:''' | '''Sentence:''' | ||
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+ | '''Portuguese Translation:''' | ||
'''Tagger output:''' | '''Tagger output:''' |
Revision as of 19:59, 16 April 2019
Pre-evaluation
Statistics about input files ------------------------------------------------------- Number of words in reference: 63 Number of words in test: 63 Number of unknown words (marked with a star) in test: 26 Percentage of unknown words: 41.27 % Results when removing unknown-word marks (stars) ------------------------------------------------------- Edit distance: 38 Word error rate (WER): 60.32 % Number of position-independent correct words: 25 Position-independent word error rate (PER): 60.32 % Results when unknown-word marks (stars) are not removed ------------------------------------------------------- Edit distance: 63 Word Error Rate (WER): 100.00 % Number of position-independent correct words: 0 Position-independent word error rate (PER): 100.00 %
Statistics about the translation of unknown words ------------------------------------------------------- Number of unknown words which were free rides: 25 Percentage of unknown words that were free rides: 96.15 %
- WER: 60.32%
- PER: 60.32%
- Coverage:
$ aq-covtest ling073-kgp-por-corpus/kgp.tests.txt ling073-kgp-por/kgp-por.automorf.bin Number of tokenised words in the corpus: 82 Coverage: 64.63% Top unknown words in the corpus: 3 vỹ 2 fi 1 kafã 1 Nũgnũj 1 kur 1 ẽgno 1 tũg 1 São 1 Pau 1 o 1 rã 1 jur 1 tá 1 Téj 1 ki 1 panh 1 kãfór 1 kyrũ 1 jãmré 1 ũn Translation time: 0.0028295516967773438 seconds
Examples for implementation
Sentence:
Portuguese Translation:
Tagger output:
Biltrans output:
Chunker output:
Interchunk output:
Postchunk output:
kgp-por output:
Post-evaluation
- WER:
- PER:
- Coverage: