From d3e2ec203a5cf550320caa8023ac3dd103b0be7d Mon Sep 17 00:00:00 2001 From: Chris Dyer Date: Mon, 13 Oct 2014 00:42:37 -0400 Subject: new kenlm --- klm/lm/ngram_query.hh | 91 ++++++++++++++++++++++++++++++++++----------------- 1 file changed, 61 insertions(+), 30 deletions(-) (limited to 'klm/lm/ngram_query.hh') diff --git a/klm/lm/ngram_query.hh b/klm/lm/ngram_query.hh index ec2590f4..5f330c5c 100644 --- a/klm/lm/ngram_query.hh +++ b/klm/lm/ngram_query.hh @@ -1,8 +1,9 @@ -#ifndef LM_NGRAM_QUERY__ -#define LM_NGRAM_QUERY__ +#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 @@ -16,64 +17,94 @@ namespace lm { namespace ngram { -template void Query(const Model &model, bool sentence_context, std::istream &in_stream, std::ostream &out_stream) { +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(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 void Query(const Model &model, bool sentence_context) { + Printer printer; typename Model::State state, out; lm::FullScoreReturn ret; - std::string word; + 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 (in_stream) { + while (true) { state = sentence_context ? model.BeginSentenceState() : model.NullContextState(); float total = 0.0; - bool got = false; uint64_t oov = 0; - while (in_stream >> word) { - got = true; + + while (in.ReadWordSameLine(word)) { lm::WordIndex vocab = model.GetVocabulary().Index(word); - if (vocab == 0) ++oov; ret = model.FullScore(state, vocab, out); + if (vocab == model.GetVocabulary().NotFound()) { + ++oov; + corpus_total_oov_only += ret.prob; + } total += ret.prob; - out_stream << word << '=' << vocab << ' ' << static_cast(ret.ngram_length) << ' ' << ret.prob << '\t'; + printer.Word(word, vocab, ret); ++corpus_tokens; state = out; - char c; - while (true) { - c = in_stream.get(); - if (!in_stream) break; - if (c == '\n') break; - if (!isspace(c)) { - in_stream.unget(); - break; - } - } - if (c == '\n') break; } - if (!got && !in_stream) break; + // If people don't have a newline after their last query, this won't add a . + // 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; - out_stream << "=" << model.GetVocabulary().EndSentence() << ' ' << static_cast(ret.ngram_length) << ' ' << ret.prob << '\t'; + printer.Word("", model.GetVocabulary().EndSentence(), ret); } - out_stream << "Total: " << total << " OOV: " << oov << '\n'; + printer.Line(oov, total); corpus_total += total; corpus_oov += oov; } - out_stream << "Perplexity " << pow(10.0, -(corpus_total / static_cast(corpus_tokens))) << std::endl; + printer.Summary( + pow(10.0, -(corpus_total / static_cast(corpus_tokens))), // PPL including OOVs + pow(10.0, -((corpus_total - corpus_total_oov_only) / static_cast(corpus_tokens - corpus_oov))), // PPL excluding OOVs + corpus_oov, + corpus_tokens); } -template void Query(const char *file, bool sentence_context, std::istream &in_stream, std::ostream &out_stream) { - Config config; - M model(file, config); - Query(model, sentence_context, in_stream, out_stream); +template void Query(const char *file, const Config &config, bool sentence_context, bool show_words) { + Model model(file, config); + if (show_words) { + Query(model, sentence_context); + } else { + Query(model, sentence_context); + } } } // namespace ngram } // namespace lm -#endif // LM_NGRAM_QUERY__ +#endif // LM_NGRAM_QUERY_H -- cgit v1.2.3