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#include "rule_factory.h"
#include <chrono>
#include <memory>
#include <queue>
#include <vector>
#include "grammar.h"
#include "fast_intersector.h"
#include "matchings_finder.h"
#include "phrase.h"
#include "phrase_builder.h"
#include "rule.h"
#include "rule_extractor.h"
#include "sampler.h"
#include "scorer.h"
#include "suffix_array.h"
#include "time_util.h"
#include "vocabulary.h"
#include "data_array.h"
using namespace std;
using namespace chrono;
namespace extractor {
typedef high_resolution_clock Clock;
struct State {
State(int start, int end, const vector<int>& phrase,
const vector<int>& subpatterns_start, shared_ptr<TrieNode> node,
bool starts_with_x) :
start(start), end(end), phrase(phrase),
subpatterns_start(subpatterns_start), node(node),
starts_with_x(starts_with_x) {}
int start, end;
vector<int> phrase, subpatterns_start;
shared_ptr<TrieNode> node;
bool starts_with_x;
};
HieroCachingRuleFactory::HieroCachingRuleFactory(
shared_ptr<SuffixArray> source_suffix_array,
shared_ptr<DataArray> target_data_array,
shared_ptr<Alignment> alignment,
const shared_ptr<Vocabulary>& vocabulary,
shared_ptr<Precomputation> precomputation,
shared_ptr<Scorer> scorer,
int min_gap_size,
int max_rule_span,
int max_nonterminals,
int max_rule_symbols,
int max_samples,
bool require_tight_phrases) :
vocabulary(vocabulary),
scorer(scorer),
min_gap_size(min_gap_size),
max_rule_span(max_rule_span),
max_nonterminals(max_nonterminals),
max_chunks(max_nonterminals + 1),
max_rule_symbols(max_rule_symbols) {
matchings_finder = make_shared<MatchingsFinder>(source_suffix_array);
fast_intersector = make_shared<FastIntersector>(source_suffix_array,
precomputation, vocabulary, max_rule_span, min_gap_size);
phrase_builder = make_shared<PhraseBuilder>(vocabulary);
rule_extractor = make_shared<RuleExtractor>(source_suffix_array->GetData(),
target_data_array, alignment, phrase_builder, scorer, vocabulary,
max_rule_span, min_gap_size, max_nonterminals, max_rule_symbols, true,
false, require_tight_phrases);
sampler = make_shared<Sampler>(source_suffix_array, max_samples);
}
HieroCachingRuleFactory::HieroCachingRuleFactory(
shared_ptr<MatchingsFinder> finder,
shared_ptr<FastIntersector> fast_intersector,
shared_ptr<PhraseBuilder> phrase_builder,
shared_ptr<RuleExtractor> rule_extractor,
shared_ptr<Vocabulary> vocabulary,
shared_ptr<Sampler> sampler,
shared_ptr<Scorer> scorer,
int min_gap_size,
int max_rule_span,
int max_nonterminals,
int max_chunks,
int max_rule_symbols) :
matchings_finder(finder),
fast_intersector(fast_intersector),
phrase_builder(phrase_builder),
rule_extractor(rule_extractor),
vocabulary(vocabulary),
sampler(sampler),
scorer(scorer),
min_gap_size(min_gap_size),
max_rule_span(max_rule_span),
max_nonterminals(max_nonterminals),
max_chunks(max_chunks),
max_rule_symbols(max_rule_symbols) {}
HieroCachingRuleFactory::HieroCachingRuleFactory() {}
HieroCachingRuleFactory::~HieroCachingRuleFactory() {}
Grammar HieroCachingRuleFactory::GetGrammar(const vector<int>& word_ids, const unordered_set<int>& blacklisted_sentence_ids, const shared_ptr<DataArray> source_data_array) {
Clock::time_point start_time = Clock::now();
double total_extract_time = 0;
double total_intersect_time = 0;
double total_lookup_time = 0;
MatchingsTrie trie;
shared_ptr<TrieNode> root = trie.GetRoot();
int first_x = vocabulary->GetNonterminalIndex(1);
shared_ptr<TrieNode> x_root(new TrieNode(root));
root->AddChild(first_x, x_root);
queue<State> states;
for (size_t i = 0; i < word_ids.size(); ++i) {
states.push(State(i, i, vector<int>(), vector<int>(1, i), root, false));
}
for (size_t i = min_gap_size; i < word_ids.size(); ++i) {
states.push(State(i - min_gap_size, i, vector<int>(1, first_x),
vector<int>(1, i), x_root, true));
}
vector<Rule> rules;
while (!states.empty()) {
State state = states.front();
states.pop();
shared_ptr<TrieNode> node = state.node;
vector<int> phrase = state.phrase;
int word_id = word_ids[state.end];
phrase.push_back(word_id);
Phrase next_phrase = phrase_builder->Build(phrase);
shared_ptr<TrieNode> next_node;
if (CannotHaveMatchings(node, word_id)) {
if (!node->HasChild(word_id)) {
node->AddChild(word_id, shared_ptr<TrieNode>());
}
continue;
}
if (RequiresLookup(node, word_id)) {
shared_ptr<TrieNode> next_suffix_link = node->suffix_link == NULL ?
trie.GetRoot() : node->suffix_link->GetChild(word_id);
if (state.starts_with_x) {
// If the phrase starts with a non terminal, we simply use the matchings
// from the suffix link.
next_node = make_shared<TrieNode>(
next_suffix_link, next_phrase, next_suffix_link->matchings);
} else {
PhraseLocation phrase_location;
if (next_phrase.Arity() > 0) {
// For phrases containing a nonterminal, we use either the occurrences
// of the prefix or the suffix to determine the occurrences of the
// phrase.
Clock::time_point intersect_start = Clock::now();
phrase_location = fast_intersector->Intersect(
node->matchings, next_suffix_link->matchings, next_phrase);
Clock::time_point intersect_stop = Clock::now();
total_intersect_time += GetDuration(intersect_start, intersect_stop);
} else {
// For phrases not containing any nonterminals, we simply query the
// suffix array using the suffix array range of the prefix as a
// starting point.
Clock::time_point lookup_start = Clock::now();
phrase_location = matchings_finder->Find(
node->matchings,
vocabulary->GetTerminalValue(word_id),
state.phrase.size());
Clock::time_point lookup_stop = Clock::now();
total_lookup_time += GetDuration(lookup_start, lookup_stop);
}
if (phrase_location.IsEmpty()) {
continue;
}
// Create new trie node to store data about the current phrase.
next_node = make_shared<TrieNode>(
next_suffix_link, next_phrase, phrase_location);
}
// Add the new trie node to the trie cache.
node->AddChild(word_id, next_node);
// Automatically adds a trailing non terminal if allowed. Simply copy the
// matchings from the prefix node.
AddTrailingNonterminal(phrase, next_phrase, next_node,
state.starts_with_x);
Clock::time_point extract_start = Clock::now();
if (!state.starts_with_x) {
// Extract rules for the sampled set of occurrences.
PhraseLocation sample = sampler->Sample(next_node->matchings, blacklisted_sentence_ids, source_data_array);
vector<Rule> new_rules =
rule_extractor->ExtractRules(next_phrase, sample);
rules.insert(rules.end(), new_rules.begin(), new_rules.end());
}
Clock::time_point extract_stop = Clock::now();
total_extract_time += GetDuration(extract_start, extract_stop);
} else {
next_node = node->GetChild(word_id);
}
// Create more states (phrases) to be analyzed.
vector<State> new_states = ExtendState(word_ids, state, phrase, next_phrase,
next_node);
for (State new_state: new_states) {
states.push(new_state);
}
}
Clock::time_point stop_time = Clock::now();
#pragma omp critical (stderr_write)
{
cerr << "Total time for rule lookup, extraction, and scoring = "
<< GetDuration(start_time, stop_time) << " seconds" << endl;
cerr << "Extract time = " << total_extract_time << " seconds" << endl;
cerr << "Intersect time = " << total_intersect_time << " seconds" << endl;
cerr << "Lookup time = " << total_lookup_time << " seconds" << endl;
}
return Grammar(rules, scorer->GetFeatureNames());
}
bool HieroCachingRuleFactory::CannotHaveMatchings(
shared_ptr<TrieNode> node, int word_id) {
if (node->HasChild(word_id) && node->GetChild(word_id) == NULL) {
return true;
}
shared_ptr<TrieNode> suffix_link = node->suffix_link;
return suffix_link != NULL && suffix_link->GetChild(word_id) == NULL;
}
bool HieroCachingRuleFactory::RequiresLookup(
shared_ptr<TrieNode> node, int word_id) {
return !node->HasChild(word_id);
}
void HieroCachingRuleFactory::AddTrailingNonterminal(
vector<int> symbols,
const Phrase& prefix,
const shared_ptr<TrieNode>& prefix_node,
bool starts_with_x) {
if (prefix.Arity() >= max_nonterminals) {
return;
}
int var_id = vocabulary->GetNonterminalIndex(prefix.Arity() + 1);
symbols.push_back(var_id);
Phrase var_phrase = phrase_builder->Build(symbols);
int suffix_var_id = vocabulary->GetNonterminalIndex(
prefix.Arity() + (starts_with_x == 0));
shared_ptr<TrieNode> var_suffix_link =
prefix_node->suffix_link->GetChild(suffix_var_id);
prefix_node->AddChild(var_id, make_shared<TrieNode>(
var_suffix_link, var_phrase, prefix_node->matchings));
}
vector<State> HieroCachingRuleFactory::ExtendState(
const vector<int>& word_ids,
const State& state,
vector<int> symbols,
const Phrase& phrase,
const shared_ptr<TrieNode>& node) {
int span = state.end - state.start;
vector<State> new_states;
if (symbols.size() >= max_rule_symbols || state.end + 1 >= word_ids.size() ||
span >= max_rule_span) {
return new_states;
}
// New state for adding the next symbol.
new_states.push_back(State(state.start, state.end + 1, symbols,
state.subpatterns_start, node, state.starts_with_x));
int num_subpatterns = phrase.Arity() + (state.starts_with_x == 0);
if (symbols.size() + 1 >= max_rule_symbols ||
phrase.Arity() >= max_nonterminals ||
num_subpatterns >= max_chunks) {
return new_states;
}
// New states for adding a nonterminal followed by a new symbol.
int var_id = vocabulary->GetNonterminalIndex(phrase.Arity() + 1);
symbols.push_back(var_id);
vector<int> subpatterns_start = state.subpatterns_start;
size_t i = state.end + 1 + min_gap_size;
while (i < word_ids.size() && i - state.start <= max_rule_span) {
subpatterns_start.push_back(i);
new_states.push_back(State(state.start, i, symbols, subpatterns_start,
node->GetChild(var_id), state.starts_with_x));
subpatterns_start.pop_back();
++i;
}
return new_states;
}
} // namespace extractor
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