mirror of
https://github.com/moses-smt/mosesdecoder.git
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114 lines
3.4 KiB
C++
114 lines
3.4 KiB
C++
#ifndef LM_NGRAM_QUERY_H
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#define LM_NGRAM_QUERY_H
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#include "lm/enumerate_vocab.hh"
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#include "lm/model.hh"
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#include "util/file_stream.hh"
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#include "util/file_piece.hh"
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#include "util/usage.hh"
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#include <cstdlib>
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#include <string>
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#include <cmath>
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namespace lm {
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namespace ngram {
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class QueryPrinter {
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public:
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QueryPrinter(int fd, bool print_word, bool print_line, bool print_summary, bool flush)
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: out_(fd), print_word_(print_word), print_line_(print_line), print_summary_(print_summary), flush_(flush) {}
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void Word(StringPiece surface, WordIndex vocab, const FullScoreReturn &ret) {
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if (!print_word_) return;
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out_ << surface << '=' << vocab << ' ' << static_cast<unsigned int>(ret.ngram_length) << ' ' << ret.prob << '\t';
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if (flush_) out_.flush();
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}
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void Line(uint64_t oov, float total) {
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if (!print_line_) return;
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out_ << "Total: " << total << " OOV: " << oov << '\n';
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if (flush_) out_.flush();
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}
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void Summary(double ppl_including_oov, double ppl_excluding_oov, uint64_t corpus_oov, uint64_t corpus_tokens) {
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if (!print_summary_) return;
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out_ <<
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"Perplexity including OOVs:\t" << ppl_including_oov << "\n"
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"Perplexity excluding OOVs:\t" << ppl_excluding_oov << "\n"
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"OOVs:\t" << corpus_oov << "\n"
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"Tokens:\t" << corpus_tokens << '\n';
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out_.flush();
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}
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private:
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util::FileStream out_;
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bool print_word_;
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bool print_line_;
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bool print_summary_;
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bool flush_;
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};
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template <class Model, class Printer> void Query(const Model &model, bool sentence_context, Printer &printer) {
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typename Model::State state, out;
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lm::FullScoreReturn ret;
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StringPiece word;
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util::FilePiece in(0);
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double corpus_total = 0.0;
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double corpus_total_oov_only = 0.0;
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uint64_t corpus_oov = 0;
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uint64_t corpus_tokens = 0;
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while (true) {
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state = sentence_context ? model.BeginSentenceState() : model.NullContextState();
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float total = 0.0;
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uint64_t oov = 0;
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while (in.ReadWordSameLine(word)) {
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lm::WordIndex vocab = model.GetVocabulary().Index(word);
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ret = model.FullScore(state, vocab, out);
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if (vocab == model.GetVocabulary().NotFound()) {
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++oov;
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corpus_total_oov_only += ret.prob;
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}
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total += ret.prob;
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printer.Word(word, vocab, ret);
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++corpus_tokens;
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state = out;
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}
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// If people don't have a newline after their last query, this won't add a </s>.
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// Sue me.
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try {
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UTIL_THROW_IF('\n' != in.get(), util::Exception, "FilePiece is confused.");
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} catch (const util::EndOfFileException &e) { 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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++corpus_tokens;
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printer.Word("</s>", model.GetVocabulary().EndSentence(), ret);
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}
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printer.Line(oov, total);
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corpus_total += total;
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corpus_oov += oov;
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}
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printer.Summary(
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pow(10.0, -(corpus_total / static_cast<double>(corpus_tokens))), // PPL including OOVs
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pow(10.0, -((corpus_total - corpus_total_oov_only) / static_cast<double>(corpus_tokens - corpus_oov))), // PPL excluding OOVs
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corpus_oov,
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corpus_tokens);
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}
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template <class Model> void Query(const char *file, const Config &config, bool sentence_context, QueryPrinter &printer) {
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Model model(file, config);
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Query<Model, QueryPrinter>(model, sentence_context, printer);
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}
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} // namespace ngram
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} // namespace lm
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#endif // LM_NGRAM_QUERY_H
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