mirror of
https://github.com/moses-smt/mosesdecoder.git
synced 2024-12-26 13:23:25 +03:00
480 lines
12 KiB
C++
480 lines
12 KiB
C++
#pragma once
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#include <cmath>
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#include <string>
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#include <vector>
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#include <set>
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#include <map>
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#include <queue>
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#include <iostream>
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#include <fstream>
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#include <iterator>
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#include <algorithm>
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#include <limits>
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#include <sstream>
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#include <boost/algorithm/string.hpp>
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namespace MosesTuning
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{
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namespace M2
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{
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typedef std::vector<float> Stats;
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typedef std::vector<std::string> Sentence;
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std::ostream& operator<<(std::ostream& o, Sentence s);
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const std::string ToLower(const std::string& str);
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struct Annot {
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size_t i;
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size_t j;
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std::string type;
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std::string edit;
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size_t annotator;
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bool operator<(Annot a) const {
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return i < a.i || (i == a.i && j < a.j)
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|| (i == a.i && j == a.j && annotator < a.annotator)
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|| (i == a.i && j == a.j && annotator == a.annotator && transform(edit) < transform(a.edit));
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}
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bool operator==(Annot a) const {
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return (!(*this < a) && !(a < *this));
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}
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static std::string transform(const std::string& e);
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static bool lowercase;
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};
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typedef std::set<Annot> Annots;
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typedef std::set<size_t> Users;
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struct Unit {
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Sentence first;
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Annots second;
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Users third;
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};
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typedef std::vector<Unit> M2File;
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struct Edit {
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Edit(float c = 1.0, size_t ch = 0, size_t unch = 1, std::string e = "")
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: cost(c), changed(ch), unchanged(unch), edit(e) {}
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float cost;
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size_t changed;
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size_t unchanged;
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std::string edit;
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};
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Edit operator+(Edit& e1, Edit& e2);
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struct Vertex {
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Vertex(size_t a = 0, size_t b = 0) : i(a), j(b) {}
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bool operator<(const Vertex &v) const {
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return i < v.i || (i == v.i && j < v.j);
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}
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bool operator==(const Vertex &v) const {
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return i == v.i && j == v.j;
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}
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size_t i;
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size_t j;
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};
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struct Edge {
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Edge(Vertex vv = Vertex(), Vertex uu = Vertex(), Edit editt = Edit())
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: v(vv), u(uu), edit(editt) {}
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bool operator<(const Edge &e) const {
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return v < e.v || (v == e.v && u < e.u);
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}
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Vertex v;
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Vertex u;
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Edit edit;
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};
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Edge operator+(Edge e1, Edge e2);
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typedef std::vector<size_t> Row;
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typedef std::vector<Row> Matrix;
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struct Info {
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Info(Vertex vv = Vertex(), Edit editt = Edit())
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: v(vv), edit(editt) {}
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bool operator<(const Info &i) const {
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return v < i.v;
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}
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Vertex v;
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Edit edit;
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};
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typedef std::set<Info> Track;
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typedef std::vector<Track> TrackRow;
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typedef std::vector<TrackRow> TrackMatrix;
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typedef std::set<Vertex> Vertices;
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typedef std::set<Edge> Edges;
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class M2
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{
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private:
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M2File m_m2;
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size_t m_max_unchanged;
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float m_beta;
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bool m_lowercase;
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bool m_verbose;
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public:
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M2() : m_max_unchanged(2), m_beta(0.5), m_lowercase(true), m_verbose(false) { }
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M2(size_t max_unchanged, float beta, bool truecase, bool verbose = false)
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: m_max_unchanged(max_unchanged), m_beta(beta), m_lowercase(!truecase), m_verbose(verbose) {
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if(!m_lowercase) {
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Annot::lowercase = false;
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}
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}
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float Beta() {
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return m_beta;
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}
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void ReadM2(const std::string& filename) {
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std::ifstream m2file(filename.c_str());
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std::string line;
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Unit unit;
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bool first = true;
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while(std::getline(m2file, line)) {
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if(line.size() > 2) {
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if(line.substr(0, 2) == "S ") {
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if(!first) {
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if(unit.third.empty())
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unit.third.insert(0);
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m_m2.push_back(unit);
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}
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first = false;
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unit.first = Sentence();
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unit.second = Annots();
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std::string sentenceLine = line.substr(2);
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boost::split(unit.first, sentenceLine, boost::is_any_of(" "), boost::token_compress_on);
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}
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if(line.substr(0, 2) == "A ") {
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std::string annotLine = line.substr(2);
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std::vector<std::string> annot;
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boost::iter_split(annot, annotLine, boost::algorithm::first_finder("|||"));
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if(annot[1] != "noop") {
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Annot a;
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std::stringstream rangeStr(annot[0]);
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rangeStr >> a.i >> a.j;
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a.type = annot[1];
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a.edit = annot[2];
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std::stringstream annotStr(annot[5]);
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annotStr >> a.annotator;
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unit.third.insert(a.annotator);
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unit.second.insert(a);
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} else {
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std::stringstream annotStr(annot[5]);
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size_t annotator;
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annotStr >> annotator;
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unit.third.insert(annotator);
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}
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}
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}
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}
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if(unit.third.empty())
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unit.third.insert(0);
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m_m2.push_back(unit);
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}
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size_t LevenshteinMatrix(const Sentence &s1, const Sentence &s2, Matrix &d, TrackMatrix &bt) {
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size_t n = s1.size();
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size_t m = s2.size();
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if (n == 0)
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return m;
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if (m == 0)
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return n;
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d.resize(n + 1, Row(m + 1, 0));
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bt.resize(n + 1, TrackRow(m + 1));
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for(size_t i = 0; i <= n; ++i) {
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d[i][0] = i;
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if(i > 0)
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bt[i][0].insert(Info(Vertex(i - 1, 0), Edit(1, 1, 0, "")));
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}
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for(size_t j = 0; j <= m; ++j) {
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d[0][j] = j;
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if(j > 0)
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bt[0][j].insert(Info(Vertex(0, j - 1), Edit(1, 1, 0, s2[j - 1])));
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}
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int cost;
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for(size_t i = 1; i <= n; ++i) {
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for(size_t j = 1; j <= m; ++j) {
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if(Annot::transform(s1[i-1]) == Annot::transform(s2[j-1]))
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cost = 0;
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else
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cost = 2;
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size_t left = d[i][j - 1] + 1;
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size_t down = d[i - 1][j] + 1;
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size_t diag = d[i - 1][j - 1] + cost;
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d[i][j] = std::min(left, std::min(down, diag));
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if(d[i][j] == left)
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bt[i][j].insert(Info(Vertex(i, j - 1), Edit(1, 1, 0, s2[j - 1])));
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if(d[i][j] == down)
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bt[i][j].insert(Info(Vertex(i - 1, j), Edit(1, 1, 0, "")));
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if(d[i][j] == diag)
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bt[i][j].insert(Info(Vertex(i - 1, j - 1), cost ? Edit(1, 1, 0, s2[j - 1]) : Edit(1, 0, 1, s2[j - 1]) ));
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}
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}
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return d[n][m];
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}
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void BuildGraph(const TrackMatrix &bt, Vertices &V, Edges &E) {
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Vertex start(bt.size() - 1, bt[0].size() - 1);
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std::queue<Vertex> Q;
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Q.push(start);
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while(!Q.empty()) {
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Vertex v = Q.front();
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Q.pop();
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if(V.count(v) > 0)
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continue;
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V.insert(v);
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for(Track::iterator it = bt[v.i][v.j].begin();
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it != bt[v.i][v.j].end(); ++it) {
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Edge e(it->v, v, it->edit);
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E.insert(e);
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if(V.count(e.v) == 0)
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Q.push(e.v);
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}
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}
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Edges newE;
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do {
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newE.clear();
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for(Edges::iterator it1 = E.begin(); it1 != E.end(); ++it1) {
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for(Edges::iterator it2 = E.begin(); it2 != E.end(); ++it2) {
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if(it1->u == it2->v) {
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Edge e = *it1 + *it2;
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if(e.edit.changed > 0 &&
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e.edit.unchanged <= m_max_unchanged &&
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E.count(e) == 0)
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newE.insert(e);
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}
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}
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}
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E.insert(newE.begin(), newE.end());
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} while(newE.size() > 0);
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}
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void AddWeights(Edges &E, const Unit &u, size_t aid) {
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for(Edges::iterator it1 = E.begin(); it1 != E.end(); ++it1) {
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if(it1->edit.changed > 0) {
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const_cast<float&>(it1->edit.cost) += 0.001;
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for(Annots::iterator it2 = u.second.begin(); it2 != u.second.end(); ++it2) {
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// if matches an annotator
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if(it1->v.i == it2->i && it1->u.i == it2->j
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&& Annot::transform(it1->edit.edit) == Annot::transform(it2->edit)
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&& it2->annotator == aid) {
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int newWeight = -(m_max_unchanged + 1) * E.size();
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const_cast<float&>(it1->edit.cost) = newWeight;
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}
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}
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}
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}
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}
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void BellmanFord(Vertices &V, Edges &E) {
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Vertex source(0, 0);
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std::map<Vertex, float> distance;
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std::map<Vertex, Vertex> predecessor;
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for(Vertices::iterator it = V.begin(); it != V.end(); ++it) {
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if(*it == source)
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distance[*it] = 0;
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else {
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distance[*it] = std::numeric_limits<float>::infinity();
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}
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}
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for(size_t i = 1; i < V.size(); ++i) {
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for(Edges::iterator it = E.begin(); it != E.end(); ++it) {
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if(distance[it->v] + it->edit.cost < distance[it->u]) {
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distance[it->u] = distance[it->v] + it->edit.cost;
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predecessor[it->u] = it->v;
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}
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}
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}
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Edges newE;
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Vertex v = *V.rbegin();
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while(true) {
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//std::cout << predecessor[v] << " -> " << v << std::endl;
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Edges::iterator it = E.find(Edge(predecessor[v], v));
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if(it != E.end()) {
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Edge f = *it;
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//std::cout << f << std::endl;
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newE.insert(f);
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v = predecessor[v];
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if(v == source)
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break;
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} else {
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std::cout << "Error" << std::endl;
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break;
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}
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}
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E.clear();
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E.insert(newE.begin(), newE.end());
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}
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void AddStats(const std::vector<Edges> &Es, const Unit &u, Stats &stats, size_t line) {
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std::map<size_t, Stats> statsPerAnnotator;
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for(std::set<size_t>::iterator it = u.third.begin();
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it != u.third.end(); ++it) {
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statsPerAnnotator[*it] = Stats(4, 0);
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}
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for(Annots::iterator it = u.second.begin(); it != u.second.end(); it++)
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statsPerAnnotator[it->annotator][2]++;
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for(std::set<size_t>::iterator ait = u.third.begin();
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ait != u.third.end(); ++ait) {
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for(Edges::iterator eit = Es[*ait].begin(); eit != Es[*ait].end(); ++eit) {
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if(eit->edit.changed > 0) {
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statsPerAnnotator[*ait][1]++;
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Annot f;
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f.i = eit->v.i;
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f.j = eit->u.i;
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f.annotator = *ait;
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f.edit = eit->edit.edit;
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for(Annots::iterator fit = u.second.begin(); fit != u.second.end(); fit++) {
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if(f == *fit)
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statsPerAnnotator[*ait][0]++;
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}
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}
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}
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}
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size_t bestAnnot = 0;
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float bestF = -1;
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for(std::set<size_t>::iterator it = u.third.begin();
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it != u.third.end(); ++it) {
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Stats localStats = stats;
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localStats[0] += statsPerAnnotator[*it][0];
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localStats[1] += statsPerAnnotator[*it][1];
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localStats[2] += statsPerAnnotator[*it][2];
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if(m_verbose)
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std::cerr << *it << " : " << localStats[0] << " " << localStats[1] << " " << localStats[2] << std::endl;
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float f = FScore(localStats);
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if(m_verbose)
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std::cerr << f << std::endl;
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if(f > bestF) {
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bestF = f;
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bestAnnot = *it;
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}
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}
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if(m_verbose)
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std::cerr << ">> Chosen Annotator for line " << line + 1 << " : " << bestAnnot << std::endl;
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stats[0] += statsPerAnnotator[bestAnnot][0];
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stats[1] += statsPerAnnotator[bestAnnot][1];
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stats[2] += statsPerAnnotator[bestAnnot][2];
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}
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void SufStats(const std::string &sStr, size_t i, Stats &stats) {
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std::string temp = sStr;
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Sentence s;
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boost::split(s, temp, boost::is_any_of(" "), boost::token_compress_on);
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Unit &unit = m_m2[i];
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Matrix d;
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TrackMatrix bt;
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size_t distance = LevenshteinMatrix(unit.first, s, d, bt);
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std::vector<Vertices> Vs(unit.third.size());
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std::vector<Edges> Es(unit.third.size());
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if(distance > unit.first.size()) {
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std::cerr << "Levenshtein distance is greater than source size." << std::endl;
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stats[0] = 0;
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stats[1] = distance;
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stats[2] = 0;
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stats[3] = unit.first.size();
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return;
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} else if(distance > 0) {
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for(size_t j = 0; j < unit.third.size(); j++) {
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BuildGraph(bt, Vs[j], Es[j]);
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AddWeights(Es[j], unit, j);
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BellmanFord(Vs[j], Es[j]);
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}
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}
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AddStats(Es, unit, stats, i);
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stats[3] = unit.first.size();
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}
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float FScore(const Stats& stats) {
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float p = 1.0;
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if(stats[1] != 0)
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p = (float)stats[0] / (float)stats[1];
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float r = 1.0;
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if(stats[2] != 0)
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r = (float)stats[0] / (float)stats[2];
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float denom = (m_beta * m_beta * p + r);
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float f = 0.0;
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if(denom != 0)
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f = ((1 + m_beta * m_beta) * p * r) / denom;
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return f;
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}
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void FScore(const Stats& stats, float &p, float &r, float &f) {
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p = 1.0;
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if(stats[1] != 0)
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p = (float)stats[0] / (float)stats[1];
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r = 1.0;
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if(stats[2] != 0)
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r = (float)stats[0] / (float)stats[2];
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float denom = (m_beta * m_beta * p + r);
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f = 0.0;
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if(denom != 0)
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f = ((1 + m_beta * m_beta) * p * r) / denom;
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}
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};
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}
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} |