Apertium has moved from SourceForge to GitHub.
If you have any questions, please come and talk to us on #apertium on irc.freenode.net or contact the GitHub migration team.

Lexical selection module scripts reference

From Apertium
Jump to: navigation, search
apertium-lex-evaluate.py 
input: - src = output of translator up to lt-proc -b - ref = reference corpus - tst = output of lexical selection module output: -
biltrans-count-patterns-frac-maxent.py 
biltrans-count-patterns-frac.py 
input: - frequency lexicon - biltrans output output: -
biltrans-count-patterns-me.py 
biltrans-count-patterns.py
input: - frequency lexicon - biltrans output - disambiguated biltrans output - crispiness threshold output: -
biltrans-extract-frac-freq.py 
input: - biltrans output - disambiguated biltrans output output: -
biltrans-extract-freq.py 
input: - biltrans output - disambiguated biltrans output output: -
biltrans-extract-poormans-freq.py 
biltrans-line-only-pos-ambig.py
biltrans-no-retained.py
biltrans-only-retained.py
biltrans-to-multitrans-line-recursive.py 
biltrans-to-multitrans.py 
input: - ambiguous biltrans output
biltrans-trim-uncovered.py 
eval-corp-from-alig.py
extract-alig-lrx.py 
extract-biltrans-cand.py
extract-default-ldx.py
extract-default-lrx.py
extract-freq-lexicon.py
extract-sentences.py
giza-to-moses.awk
lrx2cg.py
merge-ngrams-lambdas.py
ngram-count-patterns-maxent.py
ngram-count-patterns.py
ngrams-to-rules.py
process-biltrans-output.py 
process-tagger-output_2.py
input: - tagger output - bidix path output: - tagger output with trimmed tags
process-tagger-output.py 
split-sentences.py
trim-fertile-lines.py
Personal tools