Difference between revisions of "User:Francis Tyers/TLH"
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==Tarea 3== |
==Tarea 3== |
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| + | |||
| + | $ for i in `seq 1 10`; do |
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| + | t3 -l $i train.ngrams train.lex < LexEsp-0.raw > LexEsp-0.l$i.t3; |
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| + | evaluate.pl LexEsp-0.cooked LexEsp-0.l$i.t3 >> output.l; |
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| + | done |
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| + | |||
| + | $ cat output.l |
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| + | 418 sentences |
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| + | LexEsp-0.l1.t3 9411 456 95.379% |
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| + | 418 sentences |
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| + | LexEsp-0.l2.t3 9466 401 95.936% |
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| + | 418 sentences |
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| + | LexEsp-0.l3.t3 9492 375 96.199% |
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| + | 418 sentences |
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| + | LexEsp-0.l4.t3 9490 377 96.179% |
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| + | 418 sentences |
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| + | LexEsp-0.l5.t3 9473 394 96.007% |
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| + | 418 sentences |
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| + | LexEsp-0.l6.t3 9477 390 96.047% |
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| + | 418 sentences |
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| + | LexEsp-0.l7.t3 9473 394 96.007% |
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| + | 418 sentences |
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| + | LexEsp-0.l8.t3 9470 397 95.976% |
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| + | 418 sentences |
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| + | LexEsp-0.l9.t3 9470 397 95.976% |
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| + | 418 sentences |
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| + | LexEsp-0.l10.t3 9470 397 95.976% |
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| + | </pre> |
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Revision as of 13:44, 23 December 2007
Tarea 1
$ evaluate.pl LexEsp-0.cooked LexEsp-0.t3
418 sentences
LexEsp-0.t3 9470 397 95.976%
Tarea 2
$ for i in `seq 1 9`; do
cat LexEsp-[1-$i].cooked > LexExp-ejecucion$i.cooked;
cooked2lex.pl < LexExp-ejecucion$i.cooked > train.$i.lex;
cooked2ngram.pl < LexExp-ejecucion$i.cooked > train.$i.ngrams;
t3 train.$i.ngrams train.$i.lex < LexEsp-0.raw > LexEsp-0.$i.t3;
evaluate.pl LexEsp-0.cooked LexEsp-0.$i.t3 >> output ;
done
$ wc -l LexExp-ejecucion*.cooked
418 LexExp-ejecucion1.cooked
836 LexExp-ejecucion2.cooked
1254 LexExp-ejecucion3.cooked
1672 LexExp-ejecucion4.cooked
2090 LexExp-ejecucion5.cooked
2508 LexExp-ejecucion6.cooked
2926 LexExp-ejecucion7.cooked
3344 LexExp-ejecucion8.cooked
3761 LexExp-ejecucion9.cooked
$ cat output
418 sentences
LexEsp-0.1.t3 8948 919 90.686%
418 sentences
LexEsp-0.2.t3 9155 712 92.784%
418 sentences
LexEsp-0.3.t3 9275 592 94.000%
418 sentences
LexEsp-0.4.t3 9313 554 94.385%
418 sentences
LexEsp-0.5.t3 9366 501 94.922%
418 sentences
LexEsp-0.6.t3 9391 476 95.176%
418 sentences
LexEsp-0.7.t3 9419 448 95.460%
418 sentences
LexEsp-0.8.t3 9444 423 95.713%
418 sentences
LexEsp-0.9.t3 9470 397 95.976%
Tarea 3
$ for i in `seq 1 10`; do
t3 -l $i train.ngrams train.lex < LexEsp-0.raw > LexEsp-0.l$i.t3; evaluate.pl LexEsp-0.cooked LexEsp-0.l$i.t3 >> output.l;
done
$ cat output.l 418 sentences
LexEsp-0.l1.t3 9411 456 95.379%
418 sentences
LexEsp-0.l2.t3 9466 401 95.936%
418 sentences
LexEsp-0.l3.t3 9492 375 96.199%
418 sentences
LexEsp-0.l4.t3 9490 377 96.179%
418 sentences
LexEsp-0.l5.t3 9473 394 96.007%
418 sentences
LexEsp-0.l6.t3 9477 390 96.047%
418 sentences
LexEsp-0.l7.t3 9473 394 96.007%
418 sentences
LexEsp-0.l8.t3 9470 397 95.976%
418 sentences
LexEsp-0.l9.t3 9470 397 95.976%
418 sentences
LexEsp-0.l10.t3 9470 397 95.976%
