Difference between revisions of "Nivkh and Russian"
From LING073
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== Post-evaluation == | == Post-evaluation == | ||
| + | |||
| + | Coverage using bilingual transducer: | ||
| + | <pre> | ||
| + | Total number of tokens in the corpus: 198 | ||
| + | Coverage: 71.72% (niv.sentences.txt) | ||
| + | Coverage: 24.92% (rus.sentences.txt) | ||
| + | </pre> | ||
=== WER and PER === | === WER and PER === | ||
Revision as of 14:21, 8 May 2019
Contents
Initial Evaluation
niv->rus translator
Coverage using monolingual transducer:
Coverage: 73.23%
Coverage using bilingual transducer:
Total number of tokens in the corpus: 170 Number of tokens not in dictionary: 55 Coverage: 71.21% (niv.sentences.txt) Coverage: 25.23% (rus.sentences.txt)
WER and PER
Results from running apertium-eval-translator on niv.sentences.txt and checking with rus.sentences.txt.
Stored in niv-rus-test.0.txt
Number of words in reference: 170 Number of words in test: 217 Number of unknown words (marked with a star) in test: Percentage of unknown words: 0.00 %
Results when unknown-word marks (stars) are not removed Edit distance: 217 Word error rate (WER): 127.65 % Number of position-independent correct words: 0 Position-independent word error rate (PER): 127.65 %
Post-evaluation
Coverage using bilingual transducer:
Total number of tokens in the corpus: 198 Coverage: 71.72% (niv.sentences.txt) Coverage: 24.92% (rus.sentences.txt)
WER and PER
Results from running apertium-eval-translator on niv.sentences.txt and checking with rus.sentences.txt.
Stored in niv-rus-test.1.txt
Number of words in reference: 170 Number of words in test: 217 Number of unknown words (marked with a star) in test: Percentage of unknown words: 0.00 %
Results when unknown-word marks (stars) are not removed Edit distance: 195 Word error rate (WER): 114.71 % Number of position-independent correct words: 31 Position-independent word error rate (PER): 109.41 %
