From ba939df399a160f9a8370911c840635d6cee4f58 Mon Sep 17 00:00:00 2001
From: Chris Dyer <cdyer@cs.cmu.edu>
Date: Tue, 20 Dec 2011 18:34:14 -0500
Subject: migrate fast_score to the new API

---
 mteval/fast_score.cc | 40 +++++++++++++++++++++++-----------------
 1 file changed, 23 insertions(+), 17 deletions(-)

(limited to 'mteval/fast_score.cc')

diff --git a/mteval/fast_score.cc b/mteval/fast_score.cc
index 5ee264a6..a271ccc5 100644
--- a/mteval/fast_score.cc
+++ b/mteval/fast_score.cc
@@ -4,9 +4,11 @@
 #include <boost/program_options.hpp>
 #include <boost/program_options/variables_map.hpp>
 
+#include "stringlib.h"
 #include "filelib.h"
 #include "tdict.h"
-#include "scorer.h"
+#include "ns.h"
+#include "ns_docscorer.h"
 
 using namespace std;
 namespace po = boost::program_options;
@@ -14,8 +16,8 @@ namespace po = boost::program_options;
 void InitCommandLine(int argc, char** argv, po::variables_map* conf) {
   po::options_description opts("Configuration options");
   opts.add_options()
-        ("reference,r",po::value<vector<string> >(), "[REQD] Reference translation(s) (tokenized text file)")
-        ("loss_function,l",po::value<string>()->default_value("ibm_bleu"), "Scoring metric (ibm_bleu, nist_bleu, koehn_bleu, ter, combi)")
+        ("reference,r",po::value<vector<string> >(), "[1 or more required] Reference translation(s) in tokenized text files")
+        ("evaluation_metric,m",po::value<string>()->default_value("IBM_BLEU"), "Evaluation metric (ibm_bleu, koehn_bleu, nist_bleu, ter, meteor, etc.)")
         ("in_file,i", po::value<string>()->default_value("-"), "Input file")
         ("help,h", "Help");
   po::options_description dcmdline_options;
@@ -35,24 +37,29 @@ void InitCommandLine(int argc, char** argv, po::variables_map* conf) {
 int main(int argc, char** argv) {
   po::variables_map conf;
   InitCommandLine(argc, argv, &conf);
-  const string loss_function = conf["loss_function"].as<string>();
-  ScoreType type = ScoreTypeFromString(loss_function);
-  DocScorer ds(type, conf["reference"].as<vector<string> >(), "");
+  string loss_function = UppercaseString(conf["evaluation_metric"].as<string>());
+  if (loss_function == "COMBI") {
+    cerr << "WARNING: 'combi' metric is no longer supported, switching to 'COMB:TER=-0.5;IBM_BLEU=0.5'\n";
+    loss_function = "COMB:TER=-0.5;IBM_BLEU=0.5";
+  } else if (loss_function == "BLEU") {
+    cerr << "WARNING: 'BLEU' is ambiguous, assuming 'IBM_BLEU'\n";
+    loss_function = "IBM_BLEU";
+  }
+  EvaluationMetric* metric = EvaluationMetric::Instance(loss_function);
+  DocumentScorer ds(metric, conf["reference"].as<vector<string> >());
   cerr << "Loaded " << ds.size() << " references for scoring with " << loss_function << endl;
 
   ReadFile rf(conf["in_file"].as<string>());
-  ScoreP acc;
+  SufficientStats acc;
   istream& in = *rf.stream();
   int lc = 0;
-  while(in) {
-    string line;
-    getline(in, line);
-    if (line.empty() && !in) break;
+  string line;
+  while(getline(in, line)) {
     vector<WordID> sent;
     TD::ConvertSentence(line, &sent);
-    ScoreP sentscore = ds[lc]->ScoreCandidate(sent);
-    if (!acc) { acc = sentscore->GetZero(); }
-    acc->PlusEquals(*sentscore);
+    SufficientStats t;
+    ds[lc]->Evaluate(sent, &t);
+    acc += t;
     ++lc;
   }
   assert(lc > 0);
@@ -63,9 +70,8 @@ int main(int argc, char** argv) {
   if (lc != ds.size())
     cerr << "Fewer sentences in hyp (" << lc << ") than refs ("
          << ds.size() << "): scoring partial set!\n";
-  float score = acc->ComputeScore();
-  string details;
-  acc->ScoreDetails(&details);
+  float score = metric->ComputeScore(acc);
+  const string details = metric->DetailedScore(acc);
   cerr << details << endl;
   cout << score << endl;
   return 0;
-- 
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