Difference between revisions of "Lexical selection module scripts reference"
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apertium-lex-evaluate.py <br/> |
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input: |
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[[ biltrans-count-patterns-frac-maxent.py ]] |
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- src = output of translator up to lt-proc -b |
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[[ biltrans-count-patterns-frac.py ]] |
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- ref = reference corpus |
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[[ biltrans-count-patterns-me.py ]] |
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- tst = output of lexical selection module |
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[[ biltrans-count-patterns.py ]] |
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output: |
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[[ biltrans-extract-frac-freq.py ]] |
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- |
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[[ biltrans-extract-freq.py ]] |
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[[ biltrans-extract-poormans-freq.py ]] |
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biltrans-count-patterns-frac-maxent.py <br/> |
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[[ biltrans-no-retained.py ]] |
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biltrans-count-patterns-frac.py <br/> |
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input: |
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[[ biltrans-to-multitrans-line-recursive.py ]] |
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- frequency lexicon |
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[[ biltrans-to-multitrans.py ]] |
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- biltrans output |
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[[ biltrans-trim-uncovered.py ]] |
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output: |
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[[ eval-corp-from-alig.py ]] |
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- |
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[[ extract-alig-lrx.py ]] |
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[[ extract-biltrans-cand.py ]] |
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biltrans-count-patterns-me.py <br/> |
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[[ extract-default-ldx.py ]] |
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biltrans-count-patterns.py <br/> |
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[[ extract-default-lrx.py ]] |
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input: |
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[[ extract-freq-lexicon.py ]] |
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- frequency lexicon |
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[[ extract-sentences.py ]] |
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- biltrans output |
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[[ giza-to-moses.awk ]] |
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- disambiguated biltrans output |
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[[ lrx2cg.py ]] |
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- crispiness threshold |
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[[ merge-ngrams-lambdas.py ]] |
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output: |
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[[ ngram-count-patterns-maxent.py ]] |
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- |
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[[ ngram-count-patterns.py ]] |
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[[ ngrams-to-rules.py ]] |
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biltrans-extract-frac-freq.py <br/> |
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input: |
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[[ process-tagger-output_2.py ]] |
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- biltrans output |
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[[ process-tagger-output.py ]] |
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- disambiguated biltrans output |
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[[ split-sentences.py ]] |
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output: |
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[[ trim-fertile-lines.py ]] |
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- |
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biltrans-extract-freq.py <br/> |
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input: |
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- biltrans output |
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- disambiguated biltrans output |
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output: |
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- |
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biltrans-extract-poormans-freq.py <br/> |
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biltrans-line-only-pos-ambig.py <br/> |
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biltrans-no-retained.py <br/> |
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biltrans-only-retained.py <br/> |
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biltrans-to-multitrans-line-recursive.py |
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biltrans-to-multitrans.py <br/> |
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input: |
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- ambiguous biltrans output |
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biltrans-trim-uncovered.py <br/> |
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eval-corp-from-alig.py <br/> |
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extract-alig-lrx.py <br/> |
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extract-biltrans-cand.py <br/> |
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extract-default-ldx.py <br/> |
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extract-default-lrx.py <br/> |
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extract-freq-lexicon.py <br/> |
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extract-sentences.py <br/> |
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giza-to-moses.awk <br/> |
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lrx2cg.py <br/> |
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merge-ngrams-lambdas.py <br/> |
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ngram-count-patterns-maxent.py <br/> |
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ngram-count-patterns.py <br/> |
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ngrams-to-rules.py <br/> |
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process-biltrans-output.py <br/> |
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process-tagger-output_2.py <br/> |
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input: |
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- tagger output |
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- bidix path |
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output: |
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- tagger output with trimmed tags |
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process-tagger-output.py <br/> |
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split-sentences.py <br/> |
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trim-fertile-lines.py <br/> |
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[[Category:Lexical selection]] |
Latest revision as of 12:32, 29 April 2015
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