diff options
author | Kenneth Heafield <github@kheafield.com> | 2012-10-22 12:07:20 +0100 |
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committer | Kenneth Heafield <github@kheafield.com> | 2012-10-22 12:07:20 +0100 |
commit | 5f98fe5c4f2a2090eeb9d30c030305a70a8347d1 (patch) | |
tree | 9b6002f850e6dea1e3400c6b19bb31a9cdf3067f /gi/pf/brat.cc | |
parent | cf9994131993b40be62e90e213b1e11e6b550143 (diff) | |
parent | 21825a09d97c2e0afd20512f306fb25fed55e529 (diff) |
Merge remote branch 'upstream/master'
Conflicts:
Jamroot
bjam
decoder/Jamfile
decoder/cdec.cc
dpmert/Jamfile
jam-files/sanity.jam
klm/lm/Jamfile
klm/util/Jamfile
mira/Jamfile
Diffstat (limited to 'gi/pf/brat.cc')
-rw-r--r-- | gi/pf/brat.cc | 543 |
1 files changed, 0 insertions, 543 deletions
diff --git a/gi/pf/brat.cc b/gi/pf/brat.cc deleted file mode 100644 index 832f22cf..00000000 --- a/gi/pf/brat.cc +++ /dev/null @@ -1,543 +0,0 @@ -#include <iostream> -#include <tr1/memory> -#include <queue> - -#include <boost/functional.hpp> -#include <boost/multi_array.hpp> -#include <boost/program_options.hpp> -#include <boost/program_options/variables_map.hpp> - -#include "viterbi.h" -#include "hg.h" -#include "trule.h" -#include "tdict.h" -#include "filelib.h" -#include "dict.h" -#include "sampler.h" -#include "ccrp_nt.h" -#include "cfg_wfst_composer.h" - -using namespace std; -using namespace tr1; -namespace po = boost::program_options; - -static unsigned kMAX_SRC_PHRASE; -static unsigned kMAX_TRG_PHRASE; -struct FSTState; - -double log_poisson(unsigned x, const double& lambda) { - assert(lambda > 0.0); - return log(lambda) * x - lgamma(x + 1) - lambda; -} - -struct ConditionalBase { - explicit ConditionalBase(const double m1mixture, const unsigned vocab_e_size, const string& model1fname) : - kM1MIXTURE(m1mixture), - kUNIFORM_MIXTURE(1.0 - m1mixture), - kUNIFORM_TARGET(1.0 / vocab_e_size), - kNULL(TD::Convert("<eps>")) { - assert(m1mixture >= 0.0 && m1mixture <= 1.0); - assert(vocab_e_size > 0); - LoadModel1(model1fname); - } - - void LoadModel1(const string& fname) { - cerr << "Loading Model 1 parameters from " << fname << " ..." << endl; - ReadFile rf(fname); - istream& in = *rf.stream(); - string line; - unsigned lc = 0; - while(getline(in, line)) { - ++lc; - int cur = 0; - int start = 0; - while(cur < line.size() && line[cur] != ' ') { ++cur; } - assert(cur != line.size()); - line[cur] = 0; - const WordID src = TD::Convert(&line[0]); - ++cur; - start = cur; - while(cur < line.size() && line[cur] != ' ') { ++cur; } - assert(cur != line.size()); - line[cur] = 0; - WordID trg = TD::Convert(&line[start]); - const double logprob = strtod(&line[cur + 1], NULL); - if (src >= ttable.size()) ttable.resize(src + 1); - ttable[src][trg].logeq(logprob); - } - cerr << " read " << lc << " parameters.\n"; - } - - // return logp0 of rule.e_ | rule.f_ - prob_t operator()(const TRule& rule) const { - const int flen = rule.f_.size(); - const int elen = rule.e_.size(); - prob_t uniform_src_alignment; uniform_src_alignment.logeq(-log(flen + 1)); - prob_t p; - p.logeq(log_poisson(elen, flen + 0.01)); // elen | flen ~Pois(flen + 0.01) - for (int i = 0; i < elen; ++i) { // for each position i in e-RHS - const WordID trg = rule.e_[i]; - prob_t tp = prob_t::Zero(); - for (int j = -1; j < flen; ++j) { - const WordID src = j < 0 ? kNULL : rule.f_[j]; - const map<WordID, prob_t>::const_iterator it = ttable[src].find(trg); - if (it != ttable[src].end()) { - tp += kM1MIXTURE * it->second; - } - tp += kUNIFORM_MIXTURE * kUNIFORM_TARGET; - } - tp *= uniform_src_alignment; // draw a_i ~uniform - p *= tp; // draw e_i ~Model1(f_a_i) / uniform - } - return p; - } - - const prob_t kM1MIXTURE; // Model 1 mixture component - const prob_t kUNIFORM_MIXTURE; // uniform mixture component - const prob_t kUNIFORM_TARGET; - const WordID kNULL; - vector<map<WordID, prob_t> > ttable; -}; - -void InitCommandLine(int argc, char** argv, po::variables_map* conf) { - po::options_description opts("Configuration options"); - opts.add_options() - ("samples,s",po::value<unsigned>()->default_value(1000),"Number of samples") - ("input,i",po::value<string>(),"Read parallel data from") - ("max_src_phrase",po::value<unsigned>()->default_value(3),"Maximum length of source language phrases") - ("max_trg_phrase",po::value<unsigned>()->default_value(3),"Maximum length of target language phrases") - ("model1,m",po::value<string>(),"Model 1 parameters (used in base distribution)") - ("model1_interpolation_weight",po::value<double>()->default_value(0.95),"Mixing proportion of model 1 with uniform target distribution") - ("random_seed,S",po::value<uint32_t>(), "Random seed"); - po::options_description clo("Command line options"); - clo.add_options() - ("config", po::value<string>(), "Configuration file") - ("help,h", "Print this help message and exit"); - po::options_description dconfig_options, dcmdline_options; - dconfig_options.add(opts); - dcmdline_options.add(opts).add(clo); - - po::store(parse_command_line(argc, argv, dcmdline_options), *conf); - if (conf->count("config")) { - ifstream config((*conf)["config"].as<string>().c_str()); - po::store(po::parse_config_file(config, dconfig_options), *conf); - } - po::notify(*conf); - - if (conf->count("help") || (conf->count("input") == 0)) { - cerr << dcmdline_options << endl; - exit(1); - } -} - -void ReadParallelCorpus(const string& filename, - vector<vector<WordID> >* f, - vector<vector<int> >* e, - set<int>* vocab_f, - set<int>* vocab_e) { - f->clear(); - e->clear(); - vocab_f->clear(); - vocab_e->clear(); - istream* in; - if (filename == "-") - in = &cin; - else - in = new ifstream(filename.c_str()); - assert(*in); - string line; - const WordID kDIV = TD::Convert("|||"); - vector<WordID> tmp; - while(*in) { - getline(*in, line); - if (line.empty() && !*in) break; - e->push_back(vector<int>()); - f->push_back(vector<int>()); - vector<int>& le = e->back(); - vector<int>& lf = f->back(); - tmp.clear(); - TD::ConvertSentence(line, &tmp); - bool isf = true; - for (unsigned i = 0; i < tmp.size(); ++i) { - const int cur = tmp[i]; - if (isf) { - if (kDIV == cur) { isf = false; } else { - lf.push_back(cur); - vocab_f->insert(cur); - } - } else { - assert(cur != kDIV); - le.push_back(cur); - vocab_e->insert(cur); - } - } - assert(isf == false); - } - if (in != &cin) delete in; -} - -struct UniphraseLM { - UniphraseLM(const vector<vector<int> >& corpus, - const set<int>& vocab, - const po::variables_map& conf) : - phrases_(1,1), - gen_(1,1), - corpus_(corpus), - uniform_word_(1.0 / vocab.size()), - gen_p0_(0.5), - p_end_(0.5), - use_poisson_(conf.count("poisson_length") > 0) {} - - void ResampleHyperparameters(MT19937* rng) { - phrases_.resample_hyperparameters(rng); - gen_.resample_hyperparameters(rng); - cerr << " " << phrases_.alpha(); - } - - CCRP_NoTable<vector<int> > phrases_; - CCRP_NoTable<bool> gen_; - vector<vector<bool> > z_; // z_[i] is there a phrase boundary after the ith word - const vector<vector<int> >& corpus_; - const double uniform_word_; - const double gen_p0_; - const double p_end_; // in base length distribution, p of the end of a phrase - const bool use_poisson_; -}; - -struct Reachability { - boost::multi_array<bool, 4> edges; // edges[src_covered][trg_covered][x][trg_delta] is this edge worth exploring? - boost::multi_array<short, 2> max_src_delta; // msd[src_covered][trg_covered] -- the largest src delta that's valid - - Reachability(int srclen, int trglen, int src_max_phrase_len, int trg_max_phrase_len) : - edges(boost::extents[srclen][trglen][src_max_phrase_len+1][trg_max_phrase_len+1]), - max_src_delta(boost::extents[srclen][trglen]) { - ComputeReachability(srclen, trglen, src_max_phrase_len, trg_max_phrase_len); - } - - private: - struct SState { - SState() : prev_src_covered(), prev_trg_covered() {} - SState(int i, int j) : prev_src_covered(i), prev_trg_covered(j) {} - int prev_src_covered; - int prev_trg_covered; - }; - - struct NState { - NState() : next_src_covered(), next_trg_covered() {} - NState(int i, int j) : next_src_covered(i), next_trg_covered(j) {} - int next_src_covered; - int next_trg_covered; - }; - - void ComputeReachability(int srclen, int trglen, int src_max_phrase_len, int trg_max_phrase_len) { - typedef boost::multi_array<vector<SState>, 2> array_type; - array_type a(boost::extents[srclen + 1][trglen + 1]); - a[0][0].push_back(SState()); - for (int i = 0; i < srclen; ++i) { - for (int j = 0; j < trglen; ++j) { - if (a[i][j].size() == 0) continue; - const SState prev(i,j); - for (int k = 1; k <= src_max_phrase_len; ++k) { - if ((i + k) > srclen) continue; - for (int l = 1; l <= trg_max_phrase_len; ++l) { - if ((j + l) > trglen) continue; - a[i + k][j + l].push_back(prev); - } - } - } - } - a[0][0].clear(); - cerr << "Final cell contains " << a[srclen][trglen].size() << " back pointers\n"; - assert(a[srclen][trglen].size() > 0); - - typedef boost::multi_array<bool, 2> rarray_type; - rarray_type r(boost::extents[srclen + 1][trglen + 1]); -// typedef boost::multi_array<vector<NState>, 2> narray_type; -// narray_type b(boost::extents[srclen + 1][trglen + 1]); - r[srclen][trglen] = true; - for (int i = srclen; i >= 0; --i) { - for (int j = trglen; j >= 0; --j) { - vector<SState>& prevs = a[i][j]; - if (!r[i][j]) { prevs.clear(); } -// const NState nstate(i,j); - for (int k = 0; k < prevs.size(); ++k) { - r[prevs[k].prev_src_covered][prevs[k].prev_trg_covered] = true; - int src_delta = i - prevs[k].prev_src_covered; - edges[prevs[k].prev_src_covered][prevs[k].prev_trg_covered][src_delta][j - prevs[k].prev_trg_covered] = true; - short &msd = max_src_delta[prevs[k].prev_src_covered][prevs[k].prev_trg_covered]; - if (src_delta > msd) msd = src_delta; -// b[prevs[k].prev_src_covered][prevs[k].prev_trg_covered].push_back(nstate); - } - } - } - assert(!edges[0][0][1][0]); - assert(!edges[0][0][0][1]); - assert(!edges[0][0][0][0]); - cerr << " MAX SRC DELTA[0][0] = " << max_src_delta[0][0] << endl; - assert(max_src_delta[0][0] > 0); - //cerr << "First cell contains " << b[0][0].size() << " forward pointers\n"; - //for (int i = 0; i < b[0][0].size(); ++i) { - // cerr << " -> (" << b[0][0][i].next_src_covered << "," << b[0][0][i].next_trg_covered << ")\n"; - //} - } -}; - -ostream& operator<<(ostream& os, const FSTState& q); -struct FSTState { - explicit FSTState(int src_size) : - trg_covered_(), - src_covered_(), - src_coverage_(src_size) {} - - FSTState(short trg_covered, short src_covered, const vector<bool>& src_coverage, const vector<short>& src_prefix) : - trg_covered_(trg_covered), - src_covered_(src_covered), - src_coverage_(src_coverage), - src_prefix_(src_prefix) { - if (src_coverage_.size() == src_covered) { - assert(src_prefix.size() == 0); - } - } - - // if we extend by the word at src_position, what are - // the next states that are reachable and lie on a valid - // path to the final state? - vector<FSTState> Extensions(int src_position, int src_len, int trg_len, const Reachability& r) const { - assert(src_position < src_coverage_.size()); - if (src_coverage_[src_position]) { - cerr << "Trying to extend " << *this << " with position " << src_position << endl; - abort(); - } - vector<bool> ncvg = src_coverage_; - ncvg[src_position] = true; - - vector<FSTState> res; - const int trg_remaining = trg_len - trg_covered_; - if (trg_remaining <= 0) { - cerr << "Target appears to have been covered: " << *this << " (trg_len=" << trg_len << ",trg_covered=" << trg_covered_ << ")" << endl; - abort(); - } - const int src_remaining = src_len - src_covered_; - if (src_remaining <= 0) { - cerr << "Source appears to have been covered: " << *this << endl; - abort(); - } - - for (int tc = 1; tc <= kMAX_TRG_PHRASE; ++tc) { - if (r.edges[src_covered_][trg_covered_][src_prefix_.size() + 1][tc]) { - int nc = src_prefix_.size() + 1 + src_covered_; - res.push_back(FSTState(trg_covered_ + tc, nc, ncvg, vector<short>())); - } - } - - if ((src_prefix_.size() + 1) < r.max_src_delta[src_covered_][trg_covered_]) { - vector<short> nsp = src_prefix_; - nsp.push_back(src_position); - res.push_back(FSTState(trg_covered_, src_covered_, ncvg, nsp)); - } - - if (res.size() == 0) { - cerr << *this << " can't be extended!\n"; - abort(); - } - return res; - } - - short trg_covered_, src_covered_; - vector<bool> src_coverage_; - vector<short> src_prefix_; -}; -bool operator<(const FSTState& q, const FSTState& r) { - if (q.trg_covered_ != r.trg_covered_) return q.trg_covered_ < r.trg_covered_; - if (q.src_covered_!= r.src_covered_) return q.src_covered_ < r.src_covered_; - if (q.src_coverage_ != r.src_coverage_) return q.src_coverage_ < r.src_coverage_; - return q.src_prefix_ < r.src_prefix_; -} - -ostream& operator<<(ostream& os, const FSTState& q) { - os << "[" << q.trg_covered_ << " : "; - for (int i = 0; i < q.src_coverage_.size(); ++i) - os << q.src_coverage_[i]; - os << " : <"; - for (int i = 0; i < q.src_prefix_.size(); ++i) { - if (i != 0) os << ' '; - os << q.src_prefix_[i]; - } - return os << ">]"; -} - -struct MyModel { - MyModel(ConditionalBase& rcp0) : rp0(rcp0) {} - typedef unordered_map<vector<WordID>, CCRP_NoTable<TRule>, boost::hash<vector<WordID> > > SrcToRuleCRPMap; - - void DecrementRule(const TRule& rule) { - SrcToRuleCRPMap::iterator it = rules.find(rule.f_); - assert(it != rules.end()); - it->second.decrement(rule); - if (it->second.num_customers() == 0) rules.erase(it); - } - - void IncrementRule(const TRule& rule) { - SrcToRuleCRPMap::iterator it = rules.find(rule.f_); - if (it == rules.end()) { - CCRP_NoTable<TRule> crp(1,1); - it = rules.insert(make_pair(rule.f_, crp)).first; - } - it->second.increment(rule); - } - - // conditioned on rule.f_ - prob_t RuleConditionalProbability(const TRule& rule) const { - const prob_t base = rp0(rule); - SrcToRuleCRPMap::const_iterator it = rules.find(rule.f_); - if (it == rules.end()) { - return base; - } else { - const double lp = it->second.logprob(rule, log(base)); - prob_t q; q.logeq(lp); - return q; - } - } - - const ConditionalBase& rp0; - SrcToRuleCRPMap rules; -}; - -struct MyFST : public WFST { - MyFST(const vector<WordID>& ssrc, const vector<WordID>& strg, MyModel* m) : - src(ssrc), trg(strg), - r(src.size(),trg.size(),kMAX_SRC_PHRASE, kMAX_TRG_PHRASE), - model(m) { - FSTState in(src.size()); - cerr << " INIT: " << in << endl; - init = GetNode(in); - for (int i = 0; i < in.src_coverage_.size(); ++i) in.src_coverage_[i] = true; - in.src_covered_ = src.size(); - in.trg_covered_ = trg.size(); - cerr << "FINAL: " << in << endl; - final = GetNode(in); - } - virtual const WFSTNode* Final() const; - virtual const WFSTNode* Initial() const; - - const WFSTNode* GetNode(const FSTState& q); - map<FSTState, boost::shared_ptr<WFSTNode> > m; - const vector<WordID>& src; - const vector<WordID>& trg; - Reachability r; - const WFSTNode* init; - const WFSTNode* final; - MyModel* model; -}; - -struct MyNode : public WFSTNode { - MyNode(const FSTState& q, MyFST* fst) : state(q), container(fst) {} - virtual vector<pair<const WFSTNode*, TRulePtr> > ExtendInput(unsigned srcindex) const; - const FSTState state; - mutable MyFST* container; -}; - -vector<pair<const WFSTNode*, TRulePtr> > MyNode::ExtendInput(unsigned srcindex) const { - cerr << "EXTEND " << state << " with " << srcindex << endl; - vector<FSTState> ext = state.Extensions(srcindex, container->src.size(), container->trg.size(), container->r); - vector<pair<const WFSTNode*,TRulePtr> > res(ext.size()); - for (unsigned i = 0; i < ext.size(); ++i) { - res[i].first = container->GetNode(ext[i]); - if (ext[i].src_prefix_.size() == 0) { - const unsigned trg_from = state.trg_covered_; - const unsigned trg_to = ext[i].trg_covered_; - const unsigned prev_prfx_size = state.src_prefix_.size(); - res[i].second.reset(new TRule); - res[i].second->lhs_ = -TD::Convert("X"); - vector<WordID>& src = res[i].second->f_; - vector<WordID>& trg = res[i].second->e_; - src.resize(prev_prfx_size + 1); - for (unsigned j = 0; j < prev_prfx_size; ++j) - src[j] = container->src[state.src_prefix_[j]]; - src[prev_prfx_size] = container->src[srcindex]; - for (unsigned j = trg_from; j < trg_to; ++j) - trg.push_back(container->trg[j]); - res[i].second->scores_.set_value(FD::Convert("Proposal"), log(container->model->RuleConditionalProbability(*res[i].second))); - } - } - return res; -} - -const WFSTNode* MyFST::GetNode(const FSTState& q) { - boost::shared_ptr<WFSTNode>& res = m[q]; - if (!res) { - res.reset(new MyNode(q, this)); - } - return &*res; -} - -const WFSTNode* MyFST::Final() const { - return final; -} - -const WFSTNode* MyFST::Initial() const { - return init; -} - -int main(int argc, char** argv) { - po::variables_map conf; - InitCommandLine(argc, argv, &conf); - kMAX_TRG_PHRASE = conf["max_trg_phrase"].as<unsigned>(); - kMAX_SRC_PHRASE = conf["max_src_phrase"].as<unsigned>(); - - if (!conf.count("model1")) { - cerr << argv[0] << "Please use --model1 to specify model 1 parameters\n"; - return 1; - } - boost::shared_ptr<MT19937> prng; - if (conf.count("random_seed")) - prng.reset(new MT19937(conf["random_seed"].as<uint32_t>())); - else - prng.reset(new MT19937); - MT19937& rng = *prng; - - vector<vector<int> > corpuse, corpusf; - set<int> vocabe, vocabf; - ReadParallelCorpus(conf["input"].as<string>(), &corpusf, &corpuse, &vocabf, &vocabe); - cerr << "f-Corpus size: " << corpusf.size() << " sentences\n"; - cerr << "f-Vocabulary size: " << vocabf.size() << " types\n"; - cerr << "f-Corpus size: " << corpuse.size() << " sentences\n"; - cerr << "f-Vocabulary size: " << vocabe.size() << " types\n"; - assert(corpusf.size() == corpuse.size()); - - ConditionalBase lp0(conf["model1_interpolation_weight"].as<double>(), - vocabe.size(), - conf["model1"].as<string>()); - MyModel m(lp0); - - TRule x("[X] ||| kAnwntR myN ||| at the convent ||| 0"); - m.IncrementRule(x); - TRule y("[X] ||| nY dyN ||| gave ||| 0"); - m.IncrementRule(y); - - - MyFST fst(corpusf[0], corpuse[0], &m); - ifstream in("./kimura.g"); - assert(in); - CFG_WFSTComposer comp(fst); - Hypergraph hg; - bool succeed = comp.Compose(&in, &hg); - hg.PrintGraphviz(); - if (succeed) { cerr << "SUCCESS.\n"; } else { cerr << "FAILURE REPORTED.\n"; } - -#if 0 - ifstream in2("./amnabooks.g"); - assert(in2); - MyFST fst2(corpusf[1], corpuse[1], &m); - CFG_WFSTComposer comp2(fst2); - Hypergraph hg2; - bool succeed2 = comp2.Compose(&in2, &hg2); - if (succeed2) { cerr << "SUCCESS.\n"; } else { cerr << "FAILURE REPORTED.\n"; } -#endif - - SparseVector<double> w; w.set_value(FD::Convert("Proposal"), 1.0); - hg.Reweight(w); - cerr << ViterbiFTree(hg) << endl; - return 0; -} - |