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#include "ff_soft_syntax2.h"
#include <cstdio>
#include <sstream>
#include <stack>
#include <string>
#include <vector>
#include "sentence_metadata.h"
#include "stringlib.h"
#include "array2d.h"
#include "filelib.h"
using namespace std;
// Implements the soft syntactic features described in
// Marton and Resnik (2008): "Soft Syntacitc Constraints for Hierarchical Phrase-Based Translation".
// Source trees must be represented in Penn Treebank format,
// e.g. (S (NP John) (VP (V left))).
struct SoftSyntacticFeatures2Impl {
SoftSyntacticFeatures2Impl(const string& param) {
vector<string> labels = SplitOnWhitespace(param);
//for (unsigned int i = 0; i < labels.size(); i++)
//cerr << "Labels: " << labels.at(i) << endl;
for (unsigned int i = 0; i < labels.size(); i++) {
string label = labels.at(i);
pair<string, string> feat_label;
feat_label.first = label.substr(0, label.size() - 1);
feat_label.second = label.at(label.size() - 1);
feat_labels.push_back(feat_label);
}
}
void InitializeGrids(const string& tree, unsigned src_len) {
assert(tree.size() > 0);
//fids_cat.clear();
fids_ef.clear();
src_tree.clear();
//fids_cat.resize(src_len, src_len + 1);
fids_ef.resize(src_len, src_len + 1);
src_tree.resize(src_len, src_len + 1, TD::Convert("XX"));
ParseTreeString(tree, src_len);
}
void ParseTreeString(const string& tree, unsigned src_len) {
stack<pair<int, WordID> > stk; // first = i, second = category
pair<int, WordID> cur_cat; cur_cat.first = -1;
unsigned i = 0;
unsigned p = 0;
//cerr << "String " << tree << endl;
while(p < tree.size()) {
const char cur = tree[p];
if (cur == '(') {
stk.push(cur_cat);
++p;
unsigned k = p + 1;
while (k < tree.size() && tree[k] != ' ') { ++k; }
cur_cat.first = i;
cur_cat.second = TD::Convert(tree.substr(p, k - p));
//cerr << "NT: '" << tree.substr(p, k-p) << "' (i=" << i << ")\n";
p = k + 1;
} else if (cur == ')') {
unsigned k = p;
while (k < tree.size() && tree[k] == ')') { ++k; }
const unsigned num_closes = k - p;
for (unsigned ci = 0; ci < num_closes; ++ci) {
// cur_cat.second spans from cur_cat.first to i
//cerr << TD::Convert(cur_cat.second) << " from " << cur_cat.first << " to " << i << endl;
// NOTE: unary rule chains end up being labeled with the top-most category
src_tree(cur_cat.first, i) = cur_cat.second;
cur_cat = stk.top();
stk.pop();
}
p = k;
while (p < tree.size() && (tree[p] == ' ' || tree[p] == '\t')) { ++p; }
} else if (cur == ' ' || cur == '\t') {
cerr << "Unexpected whitespace in: " << tree << endl;
abort();
} else { // terminal symbol
unsigned k = p + 1;
do {
while (k < tree.size() && tree[k] != ')' && tree[k] != ' ') { ++k; }
// cerr << "TERM: '" << tree.substr(p, k-p) << "' (i=" << i << ")\n";
++i;
assert(i <= src_len);
while (k < tree.size() && tree[k] == ' ') { ++k; }
p = k;
} while (p < tree.size() && tree[p] != ')');
}
}
//cerr << "i=" << i << " src_len=" << src_len << endl;
assert(i == src_len); // make sure tree specified in src_tree is
// the same length as the source sentence
}
WordID FireFeatures(const TRule& rule, const int i, const int j, const WordID* ants, SparseVector<double>* feats) {
//cerr << "fire features: " << rule.AsString() << " for " << i << "," << j << endl;
const WordID lhs = src_tree(i,j);
string lhs_str = TD::Convert(lhs);
//cerr << "LHS: " << lhs_str << " from " << i << " to " << j << endl;
//cerr << "RULE :"<< rule << endl;
int& fid_ef = fids_ef(i,j)[&rule];
string lhs_to_str = TD::Convert(lhs);
int min_dist;
string min_dist_label;
if (lhs_to_str.compare("XX") != 0) {
min_dist = 0;
min_dist_label = lhs_to_str;
}
else {
int ok = 0;
for (unsigned int k = 1; k < (j - i); k++) {
min_dist = k;
for (unsigned int l = 0; l <= k; l++) {
int l_add = i-l;
int r_add = j+(k-l);
if ((l_add < src_tree.width() && r_add < src_tree.height()) && (TD::Convert(src_tree(l_add, r_add)).compare("XX") != 0)) {
ok = 1;
min_dist_label = (TD::Convert(src_tree(l_add, r_add)));
break;
}
else {
int l_rem= i+l;
int r_rem = j-(k-l);
if ((l_rem < src_tree.width() && r_rem < src_tree.height()) && TD::Convert(src_tree(l_rem, r_rem)).compare("XX") != 0) {
ok = 1;
min_dist_label = (TD::Convert(src_tree(l_rem, r_rem)));
break;
}
}
}
if (ok) break;
}
}
//cerr << "SPAN: " << i << " " << j << endl;
//cerr << "MINDIST: " << min_dist << endl;
//cerr << "MINDISTLABEL: " << min_dist_label << endl;
for (unsigned int i = 0; i < feat_labels.size(); i++) {
ostringstream os;
string label = feat_labels.at(i).first;
//cerr << "This Label: " << label << endl;
char feat_type = (char) feat_labels.at(i).second.c_str()[0];
//cerr << "feat_type: " << feat_type << endl;
switch(feat_type) {
case '2':
if (min_dist_label.compare(label) == 0) {
if (min_dist == 0) {
os << "SYN:" << label << "_conform";
}
else {
os << "SYN:" << label << "_cross";
}
fid_ef = FD::Convert(os.str());
//cerr << "Feature :" << os.str() << endl;
feats->set_value(fid_ef, 1.0);
}
break;
case '_':
os << "SYN:" << label;
fid_ef = FD::Convert(os.str());
if (min_dist_label.compare(label) == 0) {
//cerr << "Feature: " << os.str() << endl;
if (min_dist == 0) {
feats->set_value(fid_ef, 1.0);
}
else {
//cerr << "Feature: " << os.str() << endl;
feats->set_value(fid_ef, -1.0);
}
}
break;
case '+':
if (min_dist_label.compare(label) == 0) {
os << "SYN:" << label << "_conform";
fid_ef = FD::Convert(os.str());
if (min_dist == 0) {
//cerr << "Feature: " << os.str() << endl;
feats->set_value(fid_ef, 1.0);
}
}
break;
case '-':
//cerr << "-" << endl;
if (min_dist_label.compare(label) != 0) {
os << "SYN:" << label << "_cross";
fid_ef = FD::Convert(os.str());
if (min_dist > 0) {
//cerr << "Feature :" << os.str() << endl;
feats->set_value(fid_ef, 1.0);
}
}
break;
os.clear();
os.str("");
}
//cerr << "FEATURE: " << os.str() << endl;
//cerr << endl;
}
return lhs;
}
Array2D<WordID> src_tree; // src_tree(i,j) NT = type
mutable Array2D<map<const TRule*, int> > fids_ef; // fires for fully lexicalized
vector<pair<string, string> > feat_labels;
};
SoftSyntacticFeatures2::SoftSyntacticFeatures2(const string& param) :
FeatureFunction(sizeof(WordID)) {
impl = new SoftSyntacticFeatures2Impl(param);
}
SoftSyntacticFeatures2::~SoftSyntacticFeatures2() {
delete impl;
impl = NULL;
}
void SoftSyntacticFeatures2::TraversalFeaturesImpl(const SentenceMetadata& smeta,
const Hypergraph::Edge& edge,
const vector<const void*>& ant_contexts,
SparseVector<double>* features,
SparseVector<double>* estimated_features,
void* context) const {
WordID ants[8];
for (unsigned i = 0; i < ant_contexts.size(); ++i)
ants[i] = *static_cast<const WordID*>(ant_contexts[i]);
*static_cast<WordID*>(context) =
impl->FireFeatures(*edge.rule_, edge.i_, edge.j_, ants, features);
}
void SoftSyntacticFeatures2::PrepareForInput(const SentenceMetadata& smeta) {
impl->InitializeGrids(smeta.GetSGMLValue("src_tree"), smeta.GetSourceLength());
}
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