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#ifndef LM_NGRAM_QUERY_H
#define LM_NGRAM_QUERY_H
#include "lm/enumerate_vocab.hh"
#include "lm/model.hh"
#include "util/file_piece.hh"
#include "util/usage.hh"
#include <cstdlib>
#include <iostream>
#include <ostream>
#include <istream>
#include <string>
#include <math.h>
namespace lm {
namespace ngram {
struct BasicPrint {
void Word(StringPiece, WordIndex, const FullScoreReturn &) const {}
void Line(uint64_t oov, float total) const {
std::cout << "Total: " << total << " OOV: " << oov << '\n';
}
void Summary(double, double, uint64_t, uint64_t) {}
};
struct FullPrint : public BasicPrint {
void Word(StringPiece surface, WordIndex vocab, const FullScoreReturn &ret) const {
std::cout << surface << '=' << vocab << ' ' << static_cast<unsigned int>(ret.ngram_length) << ' ' << ret.prob << '\t';
}
void Summary(double ppl_including_oov, double ppl_excluding_oov, uint64_t corpus_oov, uint64_t corpus_tokens) {
std::cout <<
"Perplexity including OOVs:\t" << ppl_including_oov << "\n"
"Perplexity excluding OOVs:\t" << ppl_excluding_oov << "\n"
"OOVs:\t" << corpus_oov << "\n"
"Tokens:\t" << corpus_tokens << '\n'
;
}
};
template <class Model, class Printer> void Query(const Model &model, bool sentence_context) {
Printer printer;
typename Model::State state, out;
lm::FullScoreReturn ret;
StringPiece word;
util::FilePiece in(0);
double corpus_total = 0.0;
double corpus_total_oov_only = 0.0;
uint64_t corpus_oov = 0;
uint64_t corpus_tokens = 0;
while (true) {
state = sentence_context ? model.BeginSentenceState() : model.NullContextState();
float total = 0.0;
uint64_t oov = 0;
while (in.ReadWordSameLine(word)) {
lm::WordIndex vocab = model.GetVocabulary().Index(word);
ret = model.FullScore(state, vocab, out);
if (vocab == model.GetVocabulary().NotFound()) {
++oov;
corpus_total_oov_only += ret.prob;
}
total += ret.prob;
printer.Word(word, vocab, ret);
++corpus_tokens;
state = out;
}
// If people don't have a newline after their last query, this won't add a </s>.
// Sue me.
try {
UTIL_THROW_IF('\n' != in.get(), util::Exception, "FilePiece is confused.");
} catch (const util::EndOfFileException &e) { break; }
if (sentence_context) {
ret = model.FullScore(state, model.GetVocabulary().EndSentence(), out);
total += ret.prob;
++corpus_tokens;
printer.Word("</s>", model.GetVocabulary().EndSentence(), ret);
}
printer.Line(oov, total);
corpus_total += total;
corpus_oov += oov;
}
printer.Summary(
pow(10.0, -(corpus_total / static_cast<double>(corpus_tokens))), // PPL including OOVs
pow(10.0, -((corpus_total - corpus_total_oov_only) / static_cast<double>(corpus_tokens - corpus_oov))), // PPL excluding OOVs
corpus_oov,
corpus_tokens);
}
template <class Model> void Query(const char *file, const Config &config, bool sentence_context, bool show_words) {
Model model(file, config);
if (show_words) {
Query<Model, FullPrint>(model, sentence_context);
} else {
Query<Model, BasicPrint>(model, sentence_context);
}
}
} // namespace ngram
} // namespace lm
#endif // LM_NGRAM_QUERY_H
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