mirror of
https://github.com/moses-smt/mosesdecoder.git
synced 2024-09-11 11:25:40 +03:00
685 lines
24 KiB
C++
685 lines
24 KiB
C++
/*
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* extract.cpp
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* Modified by: Rohit Gupta CDAC, Mumbai, India
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* on July 15, 2012 to implement parallel processing
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* Modified by: Nadi Tomeh - LIMSI/CNRS
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* Machine Translation Marathon 2010, Dublin
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*/
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#include <cstdio>
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#include <iostream>
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#include <fstream>
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#include <vector>
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#include <string>
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#include <stdlib.h>
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#include <assert.h>
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#include <cstring>
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#include <sstream>
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#include <map>
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#include <set>
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#include <vector>
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#include "SentenceAlignment.h"
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#include "tables-core.h"
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#include "InputFileStream.h"
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#include "OutputFileStream.h"
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#include "PhraseExtractionOptions.h"
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using namespace std;
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using namespace MosesTraining;
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namespace MosesTraining
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{
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// HPhraseVertex represents a point in the alignment matrix
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typedef pair <int, int> HPhraseVertex;
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// Phrase represents a bi-phrase; each bi-phrase is defined by two points in the alignment matrix:
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// bottom-left and top-right
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typedef pair<HPhraseVertex, HPhraseVertex> HPhrase;
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// HPhraseVector is a vector of HPhrases
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typedef vector < HPhrase > HPhraseVector;
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// SentenceVertices represents, from all extracted phrases, all vertices that have the same positioning
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// The key of the map is the English index and the value is a set of the source ones
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typedef map <int, set<int> > HSentenceVertices;
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REO_POS getOrientWordModel(SentenceAlignment &, REO_MODEL_TYPE, bool, bool,
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int, int, int, int, int, int, int,
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bool (*)(int, int), bool (*)(int, int));
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REO_POS getOrientPhraseModel(SentenceAlignment &, REO_MODEL_TYPE, bool, bool,
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int, int, int, int, int, int, int,
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bool (*)(int, int), bool (*)(int, int),
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const HSentenceVertices &, const HSentenceVertices &);
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REO_POS getOrientHierModel(SentenceAlignment &, REO_MODEL_TYPE, bool, bool,
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int, int, int, int, int, int, int,
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bool (*)(int, int), bool (*)(int, int),
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const HSentenceVertices &, const HSentenceVertices &,
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const HSentenceVertices &, const HSentenceVertices &,
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REO_POS);
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void insertVertex(HSentenceVertices &, int, int);
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void insertPhraseVertices(HSentenceVertices &, HSentenceVertices &, HSentenceVertices &, HSentenceVertices &,
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int, int, int, int);
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string getOrientString(REO_POS, REO_MODEL_TYPE);
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bool ge(int, int);
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bool le(int, int);
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bool lt(int, int);
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bool isAligned (SentenceAlignment &, int, int);
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int sentenceOffset = 0;
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std::vector<std::string> Tokenize(const std::string& str,
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const std::string& delimiters = " \t");
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bool flexScoreFlag = false;
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}
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namespace MosesTraining
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{
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class ExtractTask
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{
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public:
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ExtractTask(size_t id, SentenceAlignment &sentence,PhraseExtractionOptions &initoptions, Moses::OutputFileStream &extractFileOrientation)
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:m_sentence(sentence),
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m_options(initoptions),
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m_extractFileOrientation(extractFileOrientation)
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{}
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void Run();
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private:
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void extract(SentenceAlignment &);
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void addPhrase(SentenceAlignment &, int, int, int, int, string &);
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void writePhrasesToFile();
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SentenceAlignment &m_sentence;
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const PhraseExtractionOptions &m_options;
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Moses::OutputFileStream &m_extractFileOrientation;
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};
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}
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int main(int argc, char* argv[])
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{
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cerr << "PhraseExtract v1.4, written by Philipp Koehn\n"
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<< "phrase extraction from an aligned parallel corpus\n";
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if (argc < 6) {
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cerr << "syntax: extract en de align extract max-length [orientation [ --model [wbe|phrase|hier]-[msd|mslr|mono] ] ";
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cerr<<"| --OnlyOutputSpanInfo | --NoTTable | --GZOutput | --IncludeSentenceId | --SentenceOffset n | --InstanceWeights filename ]\n";
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exit(1);
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}
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Moses::OutputFileStream extractFileOrientation;
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const char* const &fileNameE = argv[1];
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const char* const &fileNameF = argv[2];
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const char* const &fileNameA = argv[3];
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const string fileNameExtract = string(argv[4]);
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PhraseExtractionOptions options(atoi(argv[5]));
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for(int i=6; i<argc; i++) {
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if (strcmp(argv[i],"--OnlyOutputSpanInfo") == 0) {
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options.initOnlyOutputSpanInfo(true);
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} else if (strcmp(argv[i],"orientation") == 0 || strcmp(argv[i],"--Orientation") == 0) {
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options.initOrientationFlag(true);
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} else if (strcmp(argv[i],"--FlexibilityScore") == 0) {
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options.initFlexScoreFlag(true);
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} else if (strcmp(argv[i],"--NoTTable") == 0) {
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options.initTranslationFlag(false);
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} else if (strcmp(argv[i], "--IncludeSentenceId") == 0) {
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options.initIncludeSentenceIdFlag(true);
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} else if (strcmp(argv[i], "--SentenceOffset") == 0) {
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if (i+1 >= argc || argv[i+1][0] < '0' || argv[i+1][0] > '9') {
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cerr << "extract: syntax error, used switch --SentenceOffset without a number" << endl;
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exit(1);
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}
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sentenceOffset = atoi(argv[++i]);
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} else if (strcmp(argv[i], "--GZOutput") == 0) {
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options.initGzOutput(true);
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} else if (strcmp(argv[i], "--InstanceWeights") == 0) {
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if (i+1 >= argc) {
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cerr << "extract: syntax error, used switch --InstanceWeights without file name" << endl;
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exit(1);
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}
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options.initInstanceWeightsFile(argv[++i]);
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} else if (strcmp(argv[i], "--Debug") == 0) {
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options.debug = true;
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} else if (strcmp(argv[i], "--MinPhraseLength") == 0) {
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options.minPhraseLength = atoi(argv[++i]);
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} else if (strcmp(argv[i], "--Separator") == 0) {
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options.separator = argv[++i];
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} else if(strcmp(argv[i],"--model") == 0) {
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if (i+1 >= argc) {
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cerr << "extract: syntax error, no model's information provided to the option --model " << endl;
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exit(1);
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}
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char* modelParams = argv[++i];
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char* modelName = strtok(modelParams, "-");
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char* modelType = strtok(NULL, "-");
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// REO_MODEL_TYPE intModelType;
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if(strcmp(modelName, "wbe") == 0) {
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options.initWordModel(true);
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if(strcmp(modelType, "msd") == 0)
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options.initWordType(REO_MSD);
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else if(strcmp(modelType, "mslr") == 0)
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options.initWordType(REO_MSLR);
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else if(strcmp(modelType, "mono") == 0 || strcmp(modelType, "monotonicity") == 0)
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options.initWordType(REO_MONO);
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else {
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cerr << "extract: syntax error, unknown reordering model type: " << modelType << endl;
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exit(1);
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}
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} else if(strcmp(modelName, "phrase") == 0) {
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options.initPhraseModel(true);
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if(strcmp(modelType, "msd") == 0)
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options.initPhraseType(REO_MSD);
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else if(strcmp(modelType, "mslr") == 0)
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options.initPhraseType(REO_MSLR);
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else if(strcmp(modelType, "mono") == 0 || strcmp(modelType, "monotonicity") == 0)
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options.initPhraseType(REO_MONO);
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else {
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cerr << "extract: syntax error, unknown reordering model type: " << modelType << endl;
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exit(1);
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}
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} else if(strcmp(modelName, "hier") == 0) {
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options.initHierModel(true);
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if(strcmp(modelType, "msd") == 0)
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options.initHierType(REO_MSD);
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else if(strcmp(modelType, "mslr") == 0)
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options.initHierType(REO_MSLR);
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else if(strcmp(modelType, "mono") == 0 || strcmp(modelType, "monotonicity") == 0)
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options.initHierType(REO_MONO);
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else {
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cerr << "extract: syntax error, unknown reordering model type: " << modelType << endl;
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exit(1);
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}
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} else {
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cerr << "extract: syntax error, unknown reordering model: " << modelName << endl;
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exit(1);
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}
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options.initAllModelsOutputFlag(true);
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} else {
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cerr << "extract: syntax error, unknown option '" << string(argv[i]) << "'\n";
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exit(1);
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}
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}
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// default reordering model if no model selected
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// allows for the old syntax to be used
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if(options.isOrientationFlag() && !options.isAllModelsOutputFlag()) {
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options.initWordModel(true);
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options.initWordType(REO_MSD);
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}
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// open input files
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Moses::InputFileStream eFile(fileNameE);
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Moses::InputFileStream fFile(fileNameF);
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Moses::InputFileStream aFile(fileNameA);
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istream *eFileP = &eFile;
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istream *fFileP = &fFile;
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istream *aFileP = &aFile;
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istream *iwFileP = NULL;
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auto_ptr<Moses::InputFileStream> instanceWeightsFile;
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if (options.getInstanceWeightsFile().length()) {
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instanceWeightsFile.reset(new Moses::InputFileStream(options.getInstanceWeightsFile()));
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iwFileP = instanceWeightsFile.get();
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}
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// open output files
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if (options.isOrientationFlag()) {
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string fileNameExtractOrientation = fileNameExtract + ".o" + (options.isGzOutput()?".gz":"");
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extractFileOrientation.Open(fileNameExtractOrientation.c_str());
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}
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int i = sentenceOffset;
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string englishString, foreignString, alignmentString, weightString;
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while(getline(*eFileP, englishString)) {
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i++;
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getline(*eFileP, englishString);
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getline(*fFileP, foreignString);
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getline(*aFileP, alignmentString);
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if (iwFileP) {
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getline(*iwFileP, weightString);
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}
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if (i%10000 == 0) cerr << "." << flush;
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SentenceAlignment sentence;
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// cout << "read in: " << englishString << " & " << foreignString << " & " << alignmentString << endl;
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//az: output src, tgt, and alingment line
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if (options.isOnlyOutputSpanInfo()) {
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cout << "LOG: SRC: " << foreignString << endl;
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cout << "LOG: TGT: " << englishString << endl;
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cout << "LOG: ALT: " << alignmentString << endl;
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cout << "LOG: PHRASES_BEGIN:" << endl;
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}
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if (sentence.create( englishString.c_str(), foreignString.c_str(), alignmentString.c_str(), weightString.c_str(), i, false)) {
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ExtractTask *task = new ExtractTask(i-1, sentence, options, extractFileOrientation);
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task->Run();
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delete task;
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}
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if (options.isOnlyOutputSpanInfo()) cout << "LOG: PHRASES_END:" << endl; //az: mark end of phrases
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}
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eFile.Close();
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fFile.Close();
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aFile.Close();
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//az: only close if we actually opened it
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if (!options.isOnlyOutputSpanInfo()) {
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if (options.isOrientationFlag()) {
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extractFileOrientation.Close();
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}
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}
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}
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namespace MosesTraining
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{
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void ExtractTask::Run()
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{
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extract(m_sentence);
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}
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void ExtractTask::extract(SentenceAlignment &sentence)
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{
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int countE = sentence.target.size();
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int countF = sentence.source.size();
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HPhraseVector inboundPhrases;
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HSentenceVertices inTopLeft;
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HSentenceVertices inTopRight;
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HSentenceVertices inBottomLeft;
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HSentenceVertices inBottomRight;
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HSentenceVertices outTopLeft;
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HSentenceVertices outTopRight;
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HSentenceVertices outBottomLeft;
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HSentenceVertices outBottomRight;
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HSentenceVertices::const_iterator it;
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bool relaxLimit = m_options.isHierModel();
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bool buildExtraStructure = m_options.isPhraseModel() || m_options.isHierModel();
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// check alignments for target phrase startE...endE
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// loop over extracted phrases which are compatible with the word-alignments
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for(int startE=0; startE<countE; startE++) {
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for(int endE=startE;
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(endE<countE && (relaxLimit || endE<startE+m_options.maxPhraseLength));
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endE++) {
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int minF = 9999;
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int maxF = -1;
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vector< int > usedF = sentence.alignedCountS;
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for(int ei=startE; ei<=endE; ei++) {
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for(size_t i=0; i<sentence.alignedToT[ei].size(); i++) {
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int fi = sentence.alignedToT[ei][i];
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if (fi<minF) {
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minF = fi;
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}
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if (fi>maxF) {
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maxF = fi;
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}
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usedF[ fi ]--;
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}
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}
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if (maxF >= 0 && // aligned to any source words at all
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(relaxLimit || maxF-minF < m_options.maxPhraseLength)) { // source phrase within limits
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// check if source words are aligned to out of bound target words
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bool out_of_bounds = false;
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for(int fi=minF; fi<=maxF && !out_of_bounds; fi++)
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if (usedF[fi]>0) {
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// cout << "ouf of bounds: " << fi << "\n";
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out_of_bounds = true;
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}
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// cout << "doing if for ( " << minF << "-" << maxF << ", " << startE << "," << endE << ")\n";
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if (!out_of_bounds) {
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// start point of source phrase may retreat over unaligned
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for(int startF=minF;
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(startF>=0 &&
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(relaxLimit || startF>maxF-m_options.maxPhraseLength) && // within length limit
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(startF==minF || sentence.alignedCountS[startF]==0)); // unaligned
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startF--)
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// end point of source phrase may advance over unaligned
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for(int endF=maxF;
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(endF<countF &&
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(relaxLimit || endF<startF+m_options.maxPhraseLength) && // within length limit
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(endF - startF + 1 > m_options.minPhraseLength) && // within length limit
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(endF==maxF || sentence.alignedCountS[endF]==0)); // unaligned
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endF++) { // at this point we have extracted a phrase
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if(buildExtraStructure) { // phrase || hier
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if(endE-startE < m_options.maxPhraseLength && endF-startF < m_options.maxPhraseLength) { // within limit
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inboundPhrases.push_back(HPhrase(HPhraseVertex(startF,startE),
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HPhraseVertex(endF,endE)));
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insertPhraseVertices(inTopLeft, inTopRight, inBottomLeft, inBottomRight,
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startF, startE, endF, endE);
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} else
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insertPhraseVertices(outTopLeft, outTopRight, outBottomLeft, outBottomRight,
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startF, startE, endF, endE);
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} else {
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string orientationInfo = "";
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if(m_options.isWordModel()) {
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REO_POS wordPrevOrient, wordNextOrient;
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bool connectedLeftTopP = isAligned( sentence, startF-1, startE-1 );
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bool connectedRightTopP = isAligned( sentence, endF+1, startE-1 );
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bool connectedLeftTopN = isAligned( sentence, endF+1, endE+1 );
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bool connectedRightTopN = isAligned( sentence, startF-1, endE+1 );
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wordPrevOrient = getOrientWordModel(sentence, m_options.isWordType(), connectedLeftTopP, connectedRightTopP, startF, endF, startE, endE, countF, 0, 1, &ge, <);
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wordNextOrient = getOrientWordModel(sentence, m_options.isWordType(), connectedLeftTopN, connectedRightTopN, endF, startF, endE, startE, 0, countF, -1, <, &ge);
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orientationInfo += getOrientString(wordPrevOrient, m_options.isWordType()) + " " + getOrientString(wordNextOrient, m_options.isWordType());
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if(m_options.isAllModelsOutputFlag())
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" | | ";
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}
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addPhrase(sentence, startE, endE, startF, endF, orientationInfo);
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}
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}
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}
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}
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}
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}
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}
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REO_POS getOrientWordModel(SentenceAlignment & sentence, REO_MODEL_TYPE modelType,
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bool connectedLeftTop, bool connectedRightTop,
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int startF, int endF, int startE, int endE, int countF, int zero, int unit,
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bool (*ge)(int, int), bool (*lt)(int, int) )
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{
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if( connectedLeftTop && !connectedRightTop)
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return LEFT;
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if(modelType == REO_MONO)
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return UNKNOWN;
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if (!connectedLeftTop && connectedRightTop)
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return RIGHT;
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if(modelType == REO_MSD)
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return UNKNOWN;
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for(int indexF=startF-2*unit; (*ge)(indexF, zero) && !connectedLeftTop; indexF=indexF-unit)
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connectedLeftTop = isAligned(sentence, indexF, startE-unit);
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for(int indexF=endF+2*unit; (*lt)(indexF,countF) && !connectedRightTop; indexF=indexF+unit)
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connectedRightTop = isAligned(sentence, indexF, startE-unit);
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if(connectedLeftTop && !connectedRightTop)
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return DRIGHT;
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else if(!connectedLeftTop && connectedRightTop)
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return DLEFT;
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return UNKNOWN;
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}
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// to be called with countF-1 instead of countF
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REO_POS getOrientPhraseModel (SentenceAlignment & sentence, REO_MODEL_TYPE modelType,
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bool connectedLeftTop, bool connectedRightTop,
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int startF, int endF, int startE, int endE, int countF, int zero, int unit,
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bool (*ge)(int, int), bool (*lt)(int, int),
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const HSentenceVertices & inBottomRight, const HSentenceVertices & inBottomLeft)
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{
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HSentenceVertices::const_iterator it;
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if((connectedLeftTop && !connectedRightTop) ||
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//(startE == 0 && startF == 0) ||
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//(startE == sentence.target.size()-1 && startF == sentence.source.size()-1) ||
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((it = inBottomRight.find(startE - unit)) != inBottomRight.end() &&
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it->second.find(startF-unit) != it->second.end()))
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return LEFT;
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if(modelType == REO_MONO)
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return UNKNOWN;
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if((!connectedLeftTop && connectedRightTop) ||
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((it = inBottomLeft.find(startE - unit)) != inBottomLeft.end() && it->second.find(endF + unit) != it->second.end()))
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return RIGHT;
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if(modelType == REO_MSD)
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return UNKNOWN;
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connectedLeftTop = false;
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for(int indexF=startF-2*unit; (*ge)(indexF, zero) && !connectedLeftTop; indexF=indexF-unit)
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if(connectedLeftTop = (it = inBottomRight.find(startE - unit)) != inBottomRight.end() &&
|
|
it->second.find(indexF) != it->second.end())
|
|
return DRIGHT;
|
|
connectedRightTop = false;
|
|
for(int indexF=endF+2*unit; (*lt)(indexF, countF) && !connectedRightTop; indexF=indexF+unit)
|
|
if(connectedRightTop = (it = inBottomLeft.find(startE - unit)) != inBottomLeft.end() &&
|
|
it->second.find(indexF) != it->second.end())
|
|
return DLEFT;
|
|
return UNKNOWN;
|
|
}
|
|
|
|
// to be called with countF-1 instead of countF
|
|
REO_POS getOrientHierModel (SentenceAlignment & sentence, REO_MODEL_TYPE modelType,
|
|
bool connectedLeftTop, bool connectedRightTop,
|
|
int startF, int endF, int startE, int endE, int countF, int zero, int unit,
|
|
bool (*ge)(int, int), bool (*lt)(int, int),
|
|
const HSentenceVertices & inBottomRight, const HSentenceVertices & inBottomLeft,
|
|
const HSentenceVertices & outBottomRight, const HSentenceVertices & outBottomLeft,
|
|
REO_POS phraseOrient)
|
|
{
|
|
|
|
HSentenceVertices::const_iterator it;
|
|
|
|
if(phraseOrient == LEFT ||
|
|
(connectedLeftTop && !connectedRightTop) ||
|
|
// (startE == 0 && startF == 0) ||
|
|
//(startE == sentence.target.size()-1 && startF == sentence.source.size()-1) ||
|
|
((it = inBottomRight.find(startE - unit)) != inBottomRight.end() &&
|
|
it->second.find(startF-unit) != it->second.end()) ||
|
|
((it = outBottomRight.find(startE - unit)) != outBottomRight.end() &&
|
|
it->second.find(startF-unit) != it->second.end()))
|
|
return LEFT;
|
|
if(modelType == REO_MONO)
|
|
return UNKNOWN;
|
|
if(phraseOrient == RIGHT ||
|
|
(!connectedLeftTop && connectedRightTop) ||
|
|
((it = inBottomLeft.find(startE - unit)) != inBottomLeft.end() &&
|
|
it->second.find(endF + unit) != it->second.end()) ||
|
|
((it = outBottomLeft.find(startE - unit)) != outBottomLeft.end() &&
|
|
it->second.find(endF + unit) != it->second.end()))
|
|
return RIGHT;
|
|
if(modelType == REO_MSD)
|
|
return UNKNOWN;
|
|
if(phraseOrient != UNKNOWN)
|
|
return phraseOrient;
|
|
connectedLeftTop = false;
|
|
for(int indexF=startF-2*unit; (*ge)(indexF, zero) && !connectedLeftTop; indexF=indexF-unit) {
|
|
if((connectedLeftTop = (it = inBottomRight.find(startE - unit)) != inBottomRight.end() &&
|
|
it->second.find(indexF) != it->second.end()) ||
|
|
(connectedLeftTop = (it = outBottomRight.find(startE - unit)) != outBottomRight.end() &&
|
|
it->second.find(indexF) != it->second.end()))
|
|
return DRIGHT;
|
|
}
|
|
connectedRightTop = false;
|
|
for(int indexF=endF+2*unit; (*lt)(indexF, countF) && !connectedRightTop; indexF=indexF+unit) {
|
|
if((connectedRightTop = (it = inBottomLeft.find(startE - unit)) != inBottomLeft.end() &&
|
|
it->second.find(indexF) != it->second.end()) ||
|
|
(connectedRightTop = (it = outBottomLeft.find(startE - unit)) != outBottomLeft.end() &&
|
|
it->second.find(indexF) != it->second.end()))
|
|
return DLEFT;
|
|
}
|
|
return UNKNOWN;
|
|
}
|
|
|
|
bool isAligned ( SentenceAlignment &sentence, int fi, int ei )
|
|
{
|
|
if (ei == -1 && fi == -1)
|
|
return true;
|
|
if (ei <= -1 || fi <= -1)
|
|
return false;
|
|
if ((size_t)ei == sentence.target.size() && (size_t)fi == sentence.source.size())
|
|
return true;
|
|
if ((size_t)ei >= sentence.target.size() || (size_t)fi >= sentence.source.size())
|
|
return false;
|
|
for(size_t i=0; i<sentence.alignedToT[ei].size(); i++)
|
|
if (sentence.alignedToT[ei][i] == fi)
|
|
return true;
|
|
return false;
|
|
}
|
|
|
|
bool ge(int first, int second)
|
|
{
|
|
return first >= second;
|
|
}
|
|
|
|
bool le(int first, int second)
|
|
{
|
|
return first <= second;
|
|
}
|
|
|
|
bool lt(int first, int second)
|
|
{
|
|
return first < second;
|
|
}
|
|
|
|
void insertVertex( HSentenceVertices & corners, int x, int y )
|
|
{
|
|
set<int> tmp;
|
|
tmp.insert(x);
|
|
pair< HSentenceVertices::iterator, bool > ret = corners.insert( pair<int, set<int> > (y, tmp) );
|
|
if(ret.second == false) {
|
|
ret.first->second.insert(x);
|
|
}
|
|
}
|
|
|
|
void insertPhraseVertices(
|
|
HSentenceVertices & topLeft,
|
|
HSentenceVertices & topRight,
|
|
HSentenceVertices & bottomLeft,
|
|
HSentenceVertices & bottomRight,
|
|
int startF, int startE, int endF, int endE)
|
|
{
|
|
|
|
insertVertex(topLeft, startF, startE);
|
|
insertVertex(topRight, endF, startE);
|
|
insertVertex(bottomLeft, startF, endE);
|
|
insertVertex(bottomRight, endF, endE);
|
|
}
|
|
|
|
string getOrientString(REO_POS orient, REO_MODEL_TYPE modelType)
|
|
{
|
|
switch(orient) {
|
|
case LEFT:
|
|
return "mono";
|
|
break;
|
|
case RIGHT:
|
|
return "swap";
|
|
break;
|
|
case DRIGHT:
|
|
return "dright";
|
|
break;
|
|
case DLEFT:
|
|
return "dleft";
|
|
break;
|
|
case UNKNOWN:
|
|
switch(modelType) {
|
|
case REO_MONO:
|
|
return "nomono";
|
|
break;
|
|
case REO_MSD:
|
|
return "other";
|
|
break;
|
|
case REO_MSLR:
|
|
return "dright";
|
|
break;
|
|
}
|
|
break;
|
|
}
|
|
return "";
|
|
}
|
|
|
|
int getClass(const std::string &str)
|
|
{
|
|
size_t pos = str.find("swap");
|
|
if (pos == str.npos) {
|
|
return 0;
|
|
}
|
|
else if (pos == 0) {
|
|
return 1;
|
|
}
|
|
else {
|
|
return 2;
|
|
}
|
|
}
|
|
|
|
void ExtractTask::addPhrase( SentenceAlignment &sentence, int startE, int endE, int startF, int endF , string &orientationInfo)
|
|
{
|
|
if (m_options.isOnlyOutputSpanInfo()) {
|
|
cout << startF << " " << endF << " " << startE << " " << endE << endl;
|
|
return;
|
|
}
|
|
|
|
const string &sep = m_options.separator;
|
|
|
|
m_extractFileOrientation << sentence.sentenceID << " " << sep << " ";
|
|
m_extractFileOrientation << getClass(orientationInfo) << " " << sep << " ";
|
|
|
|
// position
|
|
m_extractFileOrientation << startF << " " << endF << " " << sep << " ";
|
|
|
|
// start
|
|
m_extractFileOrientation << "<s> ";
|
|
for(int fi=0; fi<startF; fi++) {
|
|
m_extractFileOrientation << sentence.source[fi] << " ";
|
|
}
|
|
m_extractFileOrientation << sep << " ";
|
|
|
|
// middle
|
|
for(int fi=startF; fi<=endF; fi++) {
|
|
m_extractFileOrientation << sentence.source[fi] << " ";
|
|
}
|
|
m_extractFileOrientation << sep << " ";
|
|
|
|
// end
|
|
for(int fi=endF+1; fi<sentence.source.size(); fi++) {
|
|
m_extractFileOrientation << sentence.source[fi] << " ";
|
|
}
|
|
m_extractFileOrientation << "</s> ";
|
|
|
|
|
|
// target
|
|
/*
|
|
for(int ei=startE; ei<=endE; ei++) {
|
|
m_extractFileOrientation << sentence.target[ei] << " ";
|
|
}
|
|
*/
|
|
m_extractFileOrientation << endl;
|
|
}
|
|
|
|
|
|
/** tokenise input string to vector of string. each element has been separated by a character in the delimiters argument.
|
|
The separator can only be 1 character long. The default delimiters are space or tab
|
|
*/
|
|
std::vector<std::string> Tokenize(const std::string& str,
|
|
const std::string& delimiters)
|
|
{
|
|
std::vector<std::string> tokens;
|
|
// Skip delimiters at beginning.
|
|
std::string::size_type lastPos = str.find_first_not_of(delimiters, 0);
|
|
// Find first "non-delimiter".
|
|
std::string::size_type pos = str.find_first_of(delimiters, lastPos);
|
|
|
|
while (std::string::npos != pos || std::string::npos != lastPos) {
|
|
// Found a token, add it to the vector.
|
|
tokens.push_back(str.substr(lastPos, pos - lastPos));
|
|
// Skip delimiters. Note the "not_of"
|
|
lastPos = str.find_first_not_of(delimiters, pos);
|
|
// Find next "non-delimiter"
|
|
pos = str.find_first_of(delimiters, lastPos);
|
|
}
|
|
|
|
return tokens;
|
|
}
|
|
|
|
}
|