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authorPaul Baltescu <pauldb89@gmail.com>2013-03-10 01:01:01 +0000
committerPaul Baltescu <pauldb89@gmail.com>2013-03-10 01:01:01 +0000
commite6181c89ab8f29d8bd0fc6a3a8a359cb50c2304c (patch)
treec05eaae595c711605e6ccb596b8b634756a95c5b /extractor/precomputation.cc
parent65a67c6921ee6da0477531224effe38559739455 (diff)
Added comments. Hooray!
Diffstat (limited to 'extractor/precomputation.cc')
-rw-r--r--extractor/precomputation.cc11
1 files changed, 11 insertions, 0 deletions
diff --git a/extractor/precomputation.cc b/extractor/precomputation.cc
index 0fadc95c..b3906943 100644
--- a/extractor/precomputation.cc
+++ b/extractor/precomputation.cc
@@ -23,6 +23,8 @@ Precomputation::Precomputation(
suffix_array, data, num_frequent_patterns, max_frequent_phrase_len,
min_frequency);
+ // Construct sets containing the frequent and superfrequent contiguous
+ // collocations.
unordered_set<vector<int>, VectorHash> frequent_patterns_set;
unordered_set<vector<int>, VectorHash> super_frequent_patterns_set;
for (size_t i = 0; i < frequent_patterns.size(); ++i) {
@@ -34,6 +36,8 @@ Precomputation::Precomputation(
vector<tuple<int, int, int> > matchings;
for (size_t i = 0; i < data.size(); ++i) {
+ // If the sentence is over, add all the discontiguous frequent patterns to
+ // the index.
if (data[i] == DataArray::END_OF_LINE) {
AddCollocations(matchings, data, max_rule_span, min_gap_size,
max_rule_symbols);
@@ -41,6 +45,7 @@ Precomputation::Precomputation(
continue;
}
vector<int> pattern;
+ // Find all the contiguous frequent patterns starting at position i.
for (int j = 1; j <= max_frequent_phrase_len && i + j <= data.size(); ++j) {
pattern.push_back(data[i + j - 1]);
if (frequent_patterns_set.count(pattern)) {
@@ -65,6 +70,7 @@ vector<vector<int> > Precomputation::FindMostFrequentPatterns(
vector<int> lcp = suffix_array->BuildLCPArray();
vector<int> run_start(max_frequent_phrase_len);
+ // Find all the patterns occurring at least min_frequency times.
priority_queue<pair<int, pair<int, int> > > heap;
for (size_t i = 1; i < lcp.size(); ++i) {
for (int len = lcp[i]; len < max_frequent_phrase_len; ++len) {
@@ -77,6 +83,7 @@ vector<vector<int> > Precomputation::FindMostFrequentPatterns(
}
}
+ // Extract the most frequent patterns.
vector<vector<int> > frequent_patterns;
while (frequent_patterns.size() < num_frequent_patterns && !heap.empty()) {
int start = heap.top().second.first;
@@ -95,10 +102,12 @@ vector<vector<int> > Precomputation::FindMostFrequentPatterns(
void Precomputation::AddCollocations(
const vector<tuple<int, int, int> >& matchings, const vector<int>& data,
int max_rule_span, int min_gap_size, int max_rule_symbols) {
+ // Select the leftmost subpattern.
for (size_t i = 0; i < matchings.size(); ++i) {
int start1, size1, is_super1;
tie(start1, size1, is_super1) = matchings[i];
+ // Select the second (middle) subpattern
for (size_t j = i + 1; j < matchings.size(); ++j) {
int start2, size2, is_super2;
tie(start2, size2, is_super2) = matchings[j];
@@ -116,8 +125,10 @@ void Precomputation::AddCollocations(
data.begin() + start2 + size2);
AddStartPositions(collocations[pattern], start1, start2);
+ // Try extending the binary collocation to a ternary collocation.
if (is_super2) {
pattern.push_back(Precomputation::SECOND_NONTERMINAL);
+ // Select the rightmost subpattern.
for (size_t k = j + 1; k < matchings.size(); ++k) {
int start3, size3, is_super3;
tie(start3, size3, is_super3) = matchings[k];