mirror of
https://github.com/moses-smt/mosesdecoder.git
synced 2024-09-11 19:27:11 +03:00
73 lines
2.0 KiB
C++
73 lines
2.0 KiB
C++
#ifndef LM_NGRAM_QUERY__
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#define LM_NGRAM_QUERY__
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#include "lm/enumerate_vocab.hh"
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#include "lm/model.hh"
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#include "util/usage.hh"
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#include <cstdlib>
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#include <iostream>
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#include <ostream>
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#include <istream>
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#include <string>
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namespace lm {
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namespace ngram {
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template <class Model> void Query(const Model &model, bool sentence_context, std::istream &in_stream, std::ostream &out_stream) {
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std::cerr << "Loading statistics:\n";
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util::PrintUsage(std::cerr);
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typename Model::State state, out;
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lm::FullScoreReturn ret;
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std::string word;
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while (in_stream) {
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state = sentence_context ? model.BeginSentenceState() : model.NullContextState();
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float total = 0.0;
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bool got = false;
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unsigned int oov = 0;
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while (in_stream >> word) {
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got = true;
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lm::WordIndex vocab = model.GetVocabulary().Index(word);
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if (vocab == 0) ++oov;
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ret = model.FullScore(state, vocab, out);
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total += ret.prob;
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out_stream << word << '=' << vocab << ' ' << static_cast<unsigned int>(ret.ngram_length) << ' ' << ret.prob << '\t';
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state = out;
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char c;
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while (true) {
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c = in_stream.get();
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if (!in_stream) break;
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if (c == '\n') break;
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if (!isspace(c)) {
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in_stream.unget();
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break;
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}
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}
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if (c == '\n') break;
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}
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if (!got && !in_stream) break;
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if (sentence_context) {
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ret = model.FullScore(state, model.GetVocabulary().EndSentence(), out);
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total += ret.prob;
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out_stream << "</s>=" << model.GetVocabulary().EndSentence() << ' ' << static_cast<unsigned int>(ret.ngram_length) << ' ' << ret.prob << '\t';
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}
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out_stream << "Total: " << total << " OOV: " << oov << '\n';
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}
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std::cerr << "After queries:\n";
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util::PrintUsage(std::cerr);
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}
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template <class M> void Query(const char *file, bool sentence_context, std::istream &in_stream, std::ostream &out_stream) {
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Config config;
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M model(file, config);
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Query(model, sentence_context, in_stream, out_stream);
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}
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} // namespace ngram
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} // namespace lm
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#endif // LM_NGRAM_QUERY__
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