Difference between revisions of "Nivkh and Russian"
From LING073
(→WER and PER) |
|||
| Line 15: | Line 15: | ||
====WER and PER==== | ====WER and PER==== | ||
| − | Results from running apertium-eval-translator on niv.sentences.txt and checking with rus.sentences.txt | + | Results from running apertium-eval-translator on niv.sentences.txt and checking with rus.sentences.txt. |
| + | |||
| + | Stored in niv-rus-test.0.txt | ||
<pre> | <pre> | ||
Number of words in reference: 170 | Number of words in reference: 170 | ||
Revision as of 00:25, 6 May 2019
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: 224 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: 224 Word error rate (WER): 131.76 % Number of position-independent correct words: 0 Position-independent word error rate (PER): 131.76 %
