#include <iostream>
#include "crfpp.h"
// c++ -O3 example.cpp -lcrfpp
int main(int argc, char **argv) {
// -v 3: access deep information like alpha,beta,prob
// -nN: enable nbest output. N should be >= 2
CRFPP::Tagger *tagger =
CRFPP::createTagger("-m model -v 3 -n2");
if (!tagger) {
std::cerr << CRFPP::getTaggerError() << std::endl;
return -1;
}
// clear internal context
tagger->clear();
// add context
tagger->add("Confidence NN");
tagger->add("in IN");
tagger->add("the DT");
tagger->add("pound NN");
tagger->add("is VBZ");
tagger->add("widely RB");
tagger->add("expected VBN");
tagger->add("to TO");
tagger->add("take VB");
tagger->add("another DT");
tagger->add("sharp JJ");
tagger->add("dive NN");
tagger->add("if IN");
tagger->add("trade NN");
tagger->add("figures NNS");
tagger->add("for IN");
tagger->add("September NNP");
std::cout << "column size: " << tagger->xsize() << std::endl;
std::cout << "token size: " << tagger->size() << std::endl;
std::cout << "tag size: " << tagger->ysize() << std::endl;
std::cout << "tagset information:" << std::endl;
for (size_t i = 0; i < tagger->ysize(); ++i) {
std::cout << "tag " << i << " " << tagger->yname(i) << std::endl;
}
// parse and change internal stated as 'parsed'
if (! tagger->parse()) return -1;
std::cout << "conditional prob=" << tagger->prob()
<< " log(Z)=" << tagger->Z() << std::endl;
for (size_t i = 0; i < tagger->size(); ++i) {
for (size_t j = 0; j < tagger->xsize(); ++j) {
std::cout << tagger->x(i, j) << '\t';
}
std::cout << tagger->y2(i) << '\t';
std::cout << std::endl;
std::cout << "Details";
for (size_t j = 0; j < tagger->ysize(); ++j) {
std::cout << '\t' << tagger->yname(j) << "/prob=" << tagger->prob(i,j)
<< "/alpha=" << tagger->alpha(i, j)
<< "/beta=" << tagger->beta(i, j);
}
std::cout << std::endl;
}
// when -n20 is specified, you can access nbest outputs
std::cout << "nbest outputs:" << std::endl;
for (size_t n = 0; n < 10; ++n) {
if (! tagger->next()) break;
std::cout << "nbest n=" << n << "\tconditional prob=" << tagger->prob() << std::endl;
// you can access any information using tagger->y()...
}
std::cout << "Done" << std::endl;
delete tagger;
return 0;
}
CRF++windows版本
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2014-09-10
10:49:51
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CRF++-0.58.zip （65个子文件） 
CRF++-0.58 
LGPL 26KB
crf_learn.exe 50KB AUTHORS 28B crf_test.exe 50KB COPYING 164B sdk crfpp.h 13KB example.cpp 2KB libcrfpp.lib 18KB doc default.css 3KB
index.html 26KB doxygen files.html 2KB
tab_a.png 140B classes.html 3KB index.html 2KB classCRFPP_1_1Tagger.html 54KB open.png 118B namespacemembers_func.html 2KB tab_h.png 192B nav_h.png 97B
tab_b.gif 35B crfpp_8h-source.html 45KB doxygen.png 4KB namespaces.html 2KB classCRFPP_1_1Model.html 11KB namespacemembers.html 3KB annotated.html 2KB tab_s.png 189B globals_func.html 9KB globals_type.html 2KB bc_s.png 677B doxygen.css 15KB tab_r.gif 3KB namespaceCRFPP.html 13KB globals_defs.html 2KB tab_l.gif 706B closed.png 126B tabs.css 1KB globals.html 9KB crfpp_8h_source.html 60KB classCRFPP_1_1Tagger-members.html 15KB nav_f.png 159B tab_b.png 178B crfpp_8h.html 91KB functions.html 10KB classCRFPP_1_1Model-members.html 4KB functions_func.html 10KB example seg exec.sh 200B train.data 8KB template 212B test.data 8KB JapaneseNE exec.sh 204B train.data 109KB template 614B test.data 284KB chunking exec.sh 280B train.data 25KB template 359B test.data 252KB basenp exec.sh 193B train.data 20KB template 372B test.data 202KB BSD 1KB README 20B libcrfpp.dll 330KB
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