From 0172721855098ca02b207231a654dffa5e4eb1c9 Mon Sep 17 00:00:00 2001
From: redpony <redpony@ec762483-ff6d-05da-a07a-a48fb63a330f>
Date: Tue, 22 Jun 2010 05:12:27 +0000
Subject: initial checkin

git-svn-id: https://ws10smt.googlecode.com/svn/trunk@2 ec762483-ff6d-05da-a07a-a48fb63a330f
---
 training/plftools.cc | 93 ++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 93 insertions(+)
 create mode 100644 training/plftools.cc

(limited to 'training/plftools.cc')

diff --git a/training/plftools.cc b/training/plftools.cc
new file mode 100644
index 00000000..903ec54f
--- /dev/null
+++ b/training/plftools.cc
@@ -0,0 +1,93 @@
+#include <iostream>
+#include <fstream>
+#include <vector>
+
+#include <boost/lexical_cast.hpp>
+#include <boost/program_options.hpp>
+
+#include "filelib.h"
+#include "tdict.h"
+#include "prob.h"
+#include "hg.h"
+#include "hg_io.h"
+#include "viterbi.h"
+#include "kbest.h"
+
+namespace po = boost::program_options;
+using namespace std;
+
+void InitCommandLine(int argc, char** argv, po::variables_map* conf) {
+  po::options_description opts("Configuration options");
+  opts.add_options()
+        ("input,i", po::value<string>(), "REQ. Lattice input file (PLF), - for STDIN")
+        ("prior_scale,p", po::value<double>()->default_value(1.0), "Scale path probabilities by this amount < 1 flattens, > 1 sharpens")
+        ("weight,w", po::value<vector<double> >(), "Weight(s) for arc features")
+	("output,o", po::value<string>()->default_value("plf"), "Output format (text, plf)")
+	("command,c", po::value<string>()->default_value("push"), "Operation to perform: push, graphviz, 1best, 2best ...")
+        ("help,h", "Print this help message and exit");
+  po::options_description clo("Command line options");
+  po::options_description dcmdline_options;
+  dcmdline_options.add(opts);
+
+  po::store(parse_command_line(argc, argv, dcmdline_options), *conf);
+  po::notify(*conf);
+
+  if (conf->count("help") || conf->count("input") == 0) {
+    cerr << dcmdline_options << endl;
+    exit(1);
+  }
+}
+
+int main(int argc, char **argv) {
+  po::variables_map conf;
+  InitCommandLine(argc, argv, &conf);
+  string infile = conf["input"].as<string>();
+  ReadFile rf(infile);
+  istream* in = rf.stream();
+  assert(*in);
+  SparseVector<double> wts;
+  vector<double> wv;
+  if (conf.count("weight") > 0) wv = conf["weight"].as<vector<double> >();
+  if (wv.empty()) wv.push_back(1.0);
+  for (int i = 0; i < wv.size(); ++i) {
+    const string fname = "Feature_" + boost::lexical_cast<string>(i);
+    cerr << "[INFO] Arc weight " << (i+1) << " = " << wv[i] << endl;
+    wts.set_value(FD::Convert(fname), wv[i]);
+  }
+  const string cmd = conf["command"].as<string>();
+  const bool push_weights = cmd == "push";
+  const bool output_plf = cmd == "plf";
+  const bool graphviz = cmd == "graphviz";
+  const bool kbest = cmd.rfind("best") == (cmd.size() - 4) && cmd.size() > 4;
+  int k = 1;
+  if (kbest) {
+    k = boost::lexical_cast<int>(cmd.substr(0, cmd.size() - 4));
+    cerr << "KBEST = " << k << endl;
+  }
+  const double scale = conf["prior_scale"].as<double>();
+  int lc = 0;
+  while(*in) {
+    ++lc;
+    string plf;
+    getline(*in, plf);
+    if (plf.empty()) continue;
+    Hypergraph hg;
+    HypergraphIO::ReadFromPLF(plf, &hg);
+    hg.Reweight(wts);
+    if (graphviz) hg.PrintGraphviz();
+    if (push_weights) hg.PushWeightsToSource(scale);
+    if (output_plf) {
+      cout << HypergraphIO::AsPLF(hg) << endl;
+    } else {
+      KBest::KBestDerivations<vector<WordID>, ESentenceTraversal> kbest(hg, k);
+      for (int i = 0; i < k; ++i) {
+        const KBest::KBestDerivations<vector<WordID>, ESentenceTraversal>::Derivation* d =
+          kbest.LazyKthBest(hg.nodes_.size() - 1, i);
+        if (!d) break;
+        cout << lc << " ||| " << TD::GetString(d->yield) << " ||| " << d->score << endl;
+      }
+    }
+  }
+  return 0;
+}
+
-- 
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