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-rw-r--r--extools/extractor.cc439
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diff --git a/extools/extractor.cc b/extools/extractor.cc
deleted file mode 100644
index 1e4154ef..00000000
--- a/extools/extractor.cc
+++ /dev/null
@@ -1,439 +0,0 @@
-#include <iostream>
-#include <vector>
-#include <utility>
-#include <tr1/unordered_map>
-
-#include <boost/functional/hash.hpp>
-#include <boost/program_options.hpp>
-#include <boost/program_options/variables_map.hpp>
-#include <boost/lexical_cast.hpp>
-
-#include "sparse_vector.h"
-#include "sentence_pair.h"
-#include "extract.h"
-#include "tdict.h"
-#include "fdict.h"
-#include "wordid.h"
-#include "array2d.h"
-#include "filelib.h"
-#include "striped_grammar.h"
-
-using namespace std;
-using namespace std::tr1;
-namespace po = boost::program_options;
-
-static const size_t MAX_LINE_LENGTH = 100000;
-WordID kBOS, kEOS, kDIVIDER, kGAP, kSPLIT;
-int kCOUNT;
-
-void InitCommandLine(int argc, char** argv, po::variables_map* conf) {
- po::options_description opts("Configuration options");
- opts.add_options()
- ("input,i", po::value<string>()->default_value("-"), "Input file")
- ("default_category,d", po::value<string>(), "Default span type (use X for 'Hiero')")
- ("x_cdyer_pos,x", "Extract monolingual POS contexts (cdyer experimental)")
- ("loose", "Use loose phrase extraction heuristic for base phrases")
- ("base_phrase,B", "Write base phrases")
- ("base_phrase_spans", "Write base sentences and phrase spans")
- ("phrase_language", po::value<string>()->default_value("target"), "Extract phrase strings in source, target or both languages")
- ("context_language", po::value<string>()->default_value("target"), "Extract context strings in source, target or both languages")
- ("bidir,b", "Extract bidirectional rules (for computing p(f|e) in addition to p(e|f))")
- ("combiner_size,c", po::value<size_t>()->default_value(800000), "Number of unique items to store in cache before writing rule counts. Set to 1 to disable cache. Set to 0 for no limit.")
- ("silent", "Write nothing to stderr except errors")
- ("phrase_context,C", "Write base phrase contexts")
- ("phrase_context_size,S", po::value<int>()->default_value(2), "Use this many words of context on left and write when writing base phrase contexts")
- ("max_base_phrase_size,L", po::value<int>()->default_value(10), "Maximum starting phrase size")
- ("max_syms,l", po::value<int>()->default_value(5), "Maximum number of symbols in final phrase size")
- ("max_vars,v", po::value<int>()->default_value(2), "Maximum number of nonterminal variables in final phrase size")
- ("permit_adjacent_nonterminals,A", "Permit adjacent nonterminals in source side of rules")
- ("no_required_aligned_terminal,n", "Do not require an aligned terminal")
- ("topics,t", po::value<int>()->default_value(50), "Number of categories assigned during clustering")
- ("backoff,g","Produce a backoff grammar")
- ("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 << "\nUsage: extractor [-options]\n";
- cerr << dcmdline_options << endl;
- exit(1);
- }
-}
-
-// TODO how to handle alignment information?
-void WriteBasePhrases(const AnnotatedParallelSentence& sentence,
- const vector<ParallelSpan>& phrases) {
- vector<WordID> e,f;
- for (int it = 0; it < phrases.size(); ++it) {
- const ParallelSpan& phrase = phrases[it];
- e.clear();
- f.clear();
- for (int i = phrase.i1; i < phrase.i2; ++i)
- f.push_back(sentence.f[i]);
- for (int j = phrase.j1; j < phrase.j2; ++j)
- e.push_back(sentence.e[j]);
- cout << TD::GetString(f) << " ||| " << TD::GetString(e) << endl;
- }
-}
-
-void WriteBasePhraseSpans(const AnnotatedParallelSentence& sentence,
- const vector<ParallelSpan>& phrases) {
- cout << TD::GetString(sentence.f) << " ||| " << TD::GetString(sentence.e) << " |||";
- for (int it = 0; it < phrases.size(); ++it) {
- const ParallelSpan& phrase = phrases[it];
- cout << " " << phrase.i1 << "-" << phrase.i2
- << "-" << phrase.j1 << "-" << phrase.j2;
- }
- cout << endl;
-}
-
-struct CountCombiner {
- CountCombiner(const size_t& csize) : combiner_size(csize) {
- if (csize == 0) { cerr << "Using unlimited combiner cache.\n"; }
- }
- ~CountCombiner() {
- if (!cache.empty()) WriteAndClearCache();
- }
-
- void Count(const vector<WordID>& key,
- const vector<WordID>& val,
- const int count_type,
- const vector<pair<short,short> >& aligns) {
- if (combiner_size != 1) {
- RuleStatistics& v = cache[key][val];
- float newcount = v.counts.add_value(count_type, 1.0f);
- // hack for adding alignments
- if (newcount < 7.0f && aligns.size() > v.aligns.size())
- v.aligns = aligns;
- if (combiner_size > 1 && cache.size() > combiner_size)
- WriteAndClearCache();
- } else {
- cout << TD::GetString(key) << '\t' << TD::GetString(val) << " ||| ";
- cout << RuleStatistics(count_type, 1.0f, aligns) << endl;
- }
- }
-
- private:
- void WriteAndClearCache() {
- for (unordered_map<vector<WordID>, Vec2PhraseCount, boost::hash<vector<WordID> > >::iterator it = cache.begin();
- it != cache.end(); ++it) {
- cout << TD::GetString(it->first) << '\t';
- const Vec2PhraseCount& vals = it->second;
- bool needdiv = false;
- for (Vec2PhraseCount::const_iterator vi = vals.begin(); vi != vals.end(); ++vi) {
- if (needdiv) cout << " ||| "; else needdiv = true;
- cout << TD::GetString(vi->first) << " ||| " << vi->second;
- }
- cout << endl;
- }
- cache.clear();
- }
-
- const size_t combiner_size;
- typedef unordered_map<vector<WordID>, RuleStatistics, boost::hash<vector<WordID> > > Vec2PhraseCount;
- unordered_map<vector<WordID>, Vec2PhraseCount, boost::hash<vector<WordID> > > cache;
-};
-
-// TODO optional source context
-// output <k, v> : k = phrase "document" v = context "term"
-void WritePhraseContexts(const AnnotatedParallelSentence& sentence,
- const vector<ParallelSpan>& phrases,
- const int ctx_size,
- bool phrase_s, bool phrase_t,
- bool context_s, bool context_t,
- CountCombiner* o) {
- vector<WordID> context, context_f;
- if (context_t)
- {
- context.resize(ctx_size * 2 + 1);
- context[ctx_size] = kGAP;
- }
- if (context_s)
- {
- context_f.resize(ctx_size * 2 + 1);
- context_f[ctx_size] = kGAP;
- }
- vector<WordID> key, key_f;
- if (phrase_t) key.reserve(100);
- if (phrase_s) key_f.reserve(100);
-
- for (int it = 0; it < phrases.size(); ++it) {
- const ParallelSpan& phrase = phrases[it];
-
- key.clear();
- for (int j = phrase.j1; j < phrase.j2 && phrase_t; ++j)
- key.push_back(sentence.e[j]);
-
- if (context_t)
- {
- context.resize(ctx_size * 2 + 1);
- for (int i = 0; i < ctx_size && context_t; ++i) {
- int epos = phrase.j1 - 1 - i;
- const WordID left_ctx = (epos < 0) ? kBOS : sentence.e[epos];
- context[ctx_size - i - 1] = left_ctx;
- epos = phrase.j2 + i;
- const WordID right_ctx = (epos >= sentence.e_len) ? kEOS : sentence.e[epos];
- context[ctx_size + i + 1] = right_ctx;
- }
- }
- else
- context.clear();
-
- if (phrase_s)
- {
- key_f.clear();
- for (int i = phrase.i1; i < phrase.i2; ++i)
- key_f.push_back(sentence.f[i]);
- if (phrase_t) key.push_back(kSPLIT);
- copy(key_f.begin(), key_f.end(), back_inserter(key));
- }
-
- if (context_s)
- {
- for (int i = 0; i < ctx_size; ++i) {
- int fpos = phrase.i1 - 1 - i;
- const WordID left_ctx = (fpos < 0) ? kBOS : sentence.f[fpos];
- context_f[ctx_size - i - 1] = left_ctx;
- fpos = phrase.i2 + i;
- const WordID right_ctx = (fpos >= sentence.f_len) ? kEOS : sentence.f[fpos];
- context_f[ctx_size + i + 1] = right_ctx;
- }
- if (context_t) context.push_back(kSPLIT);
- copy(context_f.begin(), context_f.end(), back_inserter(context));
- }
-
- o->Count(key, context, kCOUNT, vector<pair<short,short> >());
- }
-}
-
-struct SimpleRuleWriter : public Extract::RuleObserver {
- protected:
- virtual void CountRuleImpl(WordID lhs,
- const vector<WordID>& rhs_f,
- const vector<WordID>& rhs_e,
- const vector<pair<short,short> >& fe_terminal_alignments) {
- cout << "[" << TD::Convert(-lhs) << "] |||";
- for (int i = 0; i < rhs_f.size(); ++i) {
- if (rhs_f[i] < 0) cout << " [" << TD::Convert(-rhs_f[i]) << ']';
- else cout << ' ' << TD::Convert(rhs_f[i]);
- }
- cout << " |||";
- for (int i = 0; i < rhs_e.size(); ++i) {
- if (rhs_e[i] <= 0) cout << " [" << (1-rhs_e[i]) << ']';
- else cout << ' ' << TD::Convert(rhs_e[i]);
- }
- cout << " |||";
- for (int i = 0; i < fe_terminal_alignments.size(); ++i) {
- cout << ' ' << fe_terminal_alignments[i].first << '-' << fe_terminal_alignments[i].second;
- }
- cout << endl;
- }
-};
-
-struct HadoopStreamingRuleObserver : public Extract::RuleObserver {
- HadoopStreamingRuleObserver(CountCombiner* cc, bool bidir_flag) :
- bidir(bidir_flag),
- kF(TD::Convert("F")),
- kE(TD::Convert("E")),
- kDIVIDER(TD::Convert("|||")),
- kLB("["), kRB("]"),
- combiner(*cc),
- kEMPTY(),
- kCFE(FD::Convert("CFE")) {
- for (int i=1; i < 50; ++i)
- index2sym[1-i] = TD::Convert(kLB + boost::lexical_cast<string>(i) + kRB);
- fmajor_key.resize(10, kF);
- emajor_key.resize(10, kE);
- if (bidir)
- fmajor_key[2] = emajor_key[2] = kDIVIDER;
- else
- fmajor_key[1] = kDIVIDER;
- }
-
- protected:
- virtual void CountRuleImpl(WordID lhs,
- const vector<WordID>& rhs_f,
- const vector<WordID>& rhs_e,
- const vector<pair<short,short> >& fe_terminal_alignments) {
- if (bidir) { // extract rules in "both directions" E->F and F->E
- fmajor_key.resize(3 + rhs_f.size());
- emajor_key.resize(3 + rhs_e.size());
- fmajor_val.resize(rhs_e.size());
- emajor_val.resize(rhs_f.size());
- emajor_key[1] = fmajor_key[1] = MapSym(lhs);
- int nt = 1;
- for (int i = 0; i < rhs_f.size(); ++i) {
- const WordID id = rhs_f[i];
- if (id < 0) {
- fmajor_key[3 + i] = MapSym(id, nt);
- emajor_val[i] = MapSym(id, nt);
- ++nt;
- } else {
- fmajor_key[3 + i] = id;
- emajor_val[i] = id;
- }
- }
- for (int i = 0; i < rhs_e.size(); ++i) {
- WordID id = rhs_e[i];
- if (id <= 0) {
- fmajor_val[i] = index2sym[id];
- emajor_key[3 + i] = index2sym[id];
- } else {
- fmajor_val[i] = id;
- emajor_key[3 + i] = id;
- }
- }
- combiner.Count(fmajor_key, fmajor_val, kCFE, fe_terminal_alignments);
- combiner.Count(emajor_key, emajor_val, kCFE, kEMPTY);
- } else { // extract rules only in F->E
- fmajor_key.resize(2 + rhs_f.size());
- fmajor_val.resize(rhs_e.size());
- fmajor_key[0] = MapSym(lhs);
- int nt = 1;
- for (int i = 0; i < rhs_f.size(); ++i) {
- const WordID id = rhs_f[i];
- if (id < 0)
- fmajor_key[2 + i] = MapSym(id, nt++);
- else
- fmajor_key[2 + i] = id;
- }
- for (int i = 0; i < rhs_e.size(); ++i) {
- const WordID id = rhs_e[i];
- if (id <= 0)
- fmajor_val[i] = index2sym[id];
- else
- fmajor_val[i] = id;
- }
- combiner.Count(fmajor_key, fmajor_val, kCFE, fe_terminal_alignments);
- }
- }
-
- private:
- WordID MapSym(WordID sym, int ind = 0) {
- WordID& r = cat2ind2sym[sym][ind];
- if (!r) {
- if (ind == 0)
- r = TD::Convert(kLB + TD::Convert(-sym) + kRB);
- else
- r = TD::Convert(kLB + TD::Convert(-sym) + "," + boost::lexical_cast<string>(ind) + kRB);
- }
- return r;
- }
-
- const bool bidir;
- const WordID kF, kE, kDIVIDER;
- const string kLB, kRB;
- CountCombiner& combiner;
- const vector<pair<short,short> > kEMPTY;
- const int kCFE;
- map<WordID, map<int, WordID> > cat2ind2sym;
- map<int, WordID> index2sym;
- vector<WordID> emajor_key, emajor_val, fmajor_key, fmajor_val;
-};
-
-int main(int argc, char** argv) {
- po::variables_map conf;
- InitCommandLine(argc, argv, &conf);
- kBOS = TD::Convert("<s>");
- kEOS = TD::Convert("</s>");
- kDIVIDER = TD::Convert("|||");
- kGAP = TD::Convert("<PHRASE>");
- kCOUNT = FD::Convert("C");
- kSPLIT = TD::Convert("<SPLIT>");
-
- WordID default_cat = 0; // 0 means no default- extraction will
- // fail if a phrase is extracted without a
- // category
- const bool backoff = (conf.count("backoff") ? true : false);
- if (conf.count("default_category")) {
- string sdefault_cat = conf["default_category"].as<string>();
- default_cat = -TD::Convert(sdefault_cat);
- cerr << "Default category: " << sdefault_cat << endl;
- }
- ReadFile rf(conf["input"].as<string>());
- istream& in = *rf.stream();
-
- char buf[MAX_LINE_LENGTH];
- AnnotatedParallelSentence sentence;
- vector<ParallelSpan> phrases;
- vector<WordID> all_cats;
- int max_base_phrase_size = conf["max_base_phrase_size"].as<int>();
- bool write_phrase_contexts = conf.count("phrase_context") > 0;
- const bool write_base_phrases = conf.count("base_phrase") > 0;
- const bool write_base_phrase_spans = conf.count("base_phrase_spans") > 0;
- const bool loose_phrases = conf.count("loose") > 0;
- const bool silent = conf.count("silent") > 0;
- const int max_syms = conf["max_syms"].as<int>();
- const int max_vars = conf["max_vars"].as<int>();
- const int ctx_size = conf["phrase_context_size"].as<int>();
- const int num_categories = conf["topics"].as<int>();
- const bool permit_adjacent_nonterminals = conf.count("permit_adjacent_nonterminals") > 0;
- const bool require_aligned_terminal = conf.count("no_required_aligned_terminal") == 0;
- const string ps = conf["phrase_language"].as<string>();
- const bool phrase_s = ps == "source" || ps == "both";
- const bool phrase_t = ps == "target" || ps == "both";
- const string cs = conf["context_language"].as<string>();
- const bool context_s = cs == "source" || cs == "both";
- const bool context_t = cs == "target" || cs == "both";
- const bool x_cdyer_pos = conf.count("x_cdyer_pos");
- int line = 0;
- CountCombiner cc(conf["combiner_size"].as<size_t>());
- HadoopStreamingRuleObserver o(&cc,
- conf.count("bidir") > 0);
-
- assert(phrase_s || phrase_t);
- assert(context_s || context_t);
-
- if(backoff) {
- for (int i=0;i < num_categories;++i)
- all_cats.push_back(TD::Convert("X"+boost::lexical_cast<string>(i)));
- }
-
- //SimpleRuleWriter o;
- while(in) {
- ++line;
- in.getline(buf, MAX_LINE_LENGTH);
- if (buf[0] == 0) continue;
- //cerr << "line #" << line << " = " << buf << endl;
- if (!silent) {
- if (line % 200 == 0) cerr << '.';
- if (line % 8000 == 0) cerr << " [" << line << "]\n" << flush;
- }
- sentence.ParseInputLine(buf);
- if (x_cdyer_pos) {
- sentence.e = sentence.f;
- sentence.AllocateForAlignment();
- for (int i = 0; i < sentence.e.size(); ++i) sentence.Align(i,i);
- max_base_phrase_size = 1;
- write_phrase_contexts = true;
- }
- phrases.clear();
- Extract::ExtractBasePhrases(max_base_phrase_size, sentence, &phrases);
- if (loose_phrases)
- Extract::LoosenPhraseBounds(sentence, max_base_phrase_size, &phrases);
- if (phrases.empty()) {
- cerr << "WARNING no phrases extracted line: " << line << endl;
- continue;
- }
- if (write_phrase_contexts) {
- WritePhraseContexts(sentence, phrases, ctx_size, phrase_s, phrase_t, context_s, context_t, &cc);
- continue;
- }
- if (write_base_phrases) {
- WriteBasePhrases(sentence, phrases);
- continue;
- }
- if (write_base_phrase_spans) {
- WriteBasePhraseSpans(sentence, phrases);
- continue;
- }
- Extract::AnnotatePhrasesWithCategoryTypes(default_cat, sentence.span_types, &phrases);
- Extract::ExtractConsistentRules(sentence, phrases, max_vars, max_syms, permit_adjacent_nonterminals, require_aligned_terminal, &o, &all_cats);
- }
- if (!silent) cerr << endl;
- return 0;
-}
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