Difference between revisions of "Charlifter"

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"Pretty clean" dictionary processed...
"Pretty clean" dictionary processed...
Reading the training text...
Reading the training text...
1000...
Training texts processed (1143 words)...
2000...
3000...
Training texts processed (35919 words)...
Computing final probabilities...
Computing final probabilities...
Dumping plain text hashes to disk...
Dumping plain text hashes to disk...
Line 50: Line 53:
<pre>
<pre>
$ apertium-eval-translator -t testing/cv-test.txt -r testing/cv-reference.txt
$ apertium-eval-translator -t testing/cv-test.txt -r testing/cv-reference.txt
apertium-eval-translator -t testing/cv-test.txt -r testing/cv-reference.txt
Test file: 'testing/cv-test.txt'
Test file: 'testing/cv-test.txt'
Reference file 'testing/cv-reference.txt'
Reference file 'testing/cv-reference.txt'
Line 62: Line 66:
Results when removing unknown-word marks (stars)
Results when removing unknown-word marks (stars)
-------------------------------------------------------
-------------------------------------------------------
Edit distance: 451
Edit distance: 108
Word error rate (WER): 56.09 %
Word error rate (WER): 13.43 %
Number of position-independent word errors: 451
Number of position-independent word errors: 108
Position-independent word error rate (PER): 56.09 %
Position-independent word error rate (PER): 13.43 %


Results when unknown-word marks (stars) are not removed
Results when unknown-word marks (stars) are not removed
-------------------------------------------------------
-------------------------------------------------------
Edit distance: 451
Edit distance: 108
Word Error Rate (WER): 56.09 %
Word Error Rate (WER): 13.43 %
Number of position-independent word errors: 451
Number of position-independent word errors: 108
Position-independent word error rate (PER): 56.09 %
Position-independent word error rate (PER): 13.43 %


Statistics about the translation of unknown words
Statistics about the translation of unknown words
Line 78: Line 82:
Number of unknown words which were free rides: 0
Number of unknown words which were free rides: 0
Percentage of unknown words that were free rides: 0%
Percentage of unknown words that were free rides: 0%

</pre>
</pre>



Revision as of 13:26, 19 August 2011

Training

You need a corpus:

  • XX-corpus.txt: A clean (orthographically correct) corpus in the language

You need two wordlists:

  • XX-clean.txt: A file with a list of known clean words
  • XX-prettyclean.txt: A file with a list of probably clean words (can be empty)
Process

First do 'make', you might want to edit the makefile to change your paths.

Then, put the source files (corpus, wordlists) where sf.pl can find them, and run:

$ cat cv-training.crp | perl sf.pl -t -l cv
Reading the clean dictionary...
Clean dictionary processed...
Reading the "pretty clean" dictionary...
"Pretty clean" dictionary processed...
Reading the training text...
1000...
2000...
3000...
Training texts processed (35919 words)...
Computing final probabilities...
Dumping plain text hashes to disk...

Then:

$ perl sf.pl -m -l cv
Reading in plain text hashes...
Saving storable hashes to disk...

Now you should be able to use the program.

Usage
$ cat testing/cv-source.txt  | perl sf.pl -r -d . -l cv
Evaluation

You can use apertium-eval-translator to evaluate the quality of the restoration:

$ apertium-eval-translator -t testing/cv-test.txt -r testing/cv-reference.txt 
apertium-eval-translator -t testing/cv-test.txt -r testing/cv-reference.txt 
Test file: 'testing/cv-test.txt'
Reference file 'testing/cv-reference.txt'

Statistics about input files
-------------------------------------------------------
Number of words in reference: 804
Number of words in test: 804
Number of unknown words (marked with a star) in test: 
Percentage of unknown words: 0.00 %

Results when removing unknown-word marks (stars)
-------------------------------------------------------
Edit distance: 108
Word error rate (WER): 13.43 %
Number of position-independent word errors: 108
Position-independent word error rate (PER): 13.43 %

Results when unknown-word marks (stars) are not removed
-------------------------------------------------------
Edit distance: 108
Word Error Rate (WER): 13.43 %
Number of position-independent word errors: 108
Position-independent word error rate (PER): 13.43 %

Statistics about the translation of unknown words
-------------------------------------------------------
Number of unknown words which were free rides: 0
Percentage of unknown words that were free rides: 0%