private void explore(LineReader grammar) {
int counter = 0;
boolean first_line = true;
while (grammar.hasNext()) {
String line = grammar.next().trim();
counter++;
String[] fields = line.split("\\s\\|{3}\\s");
if (fields.length < 4) {
logger.warning("Incomplete grammar line at line " + counter);
continue;
}
String lhs = fields[0];
String[] source = fields[1].split("\\s");
String[] target = fields[2].split("\\s");
String[] features = fields[3].split("\\s");
Vocabulary.id(lhs);
// Add symbols to vocabulary.
for (String source_word : source) {
if (FormatUtils.isNonterminal(source_word)) Vocabulary.id(FormatUtils.stripNt(source_word));
else Vocabulary.id(source_word);
}
for (String target_word : target) {
if (FormatUtils.isNonterminal(target_word)) Vocabulary.id(FormatUtils.stripNt(target_word));
else Vocabulary.id(target_word);
}
// Test features for labeling.
if (first_line && features.length != 0) {
if (!features[0].contains("=")) {
// We assume that if there is one unlabeled feature the entire grammar is unlabeled.
labeled = false;
}
this.types.setLabeled(labeled);
first_line = false;
}
// Add feature names to vocabulary and pass the value through the
// appropriate encoder.
for (int f = 0; f < features.length; ++f) {
if (labeled) {
String[] fe = features[f].split("=");
if (fe[0].equals("Alignment")) continue;
types.observe(Vocabulary.id(fe[0]), Float.parseFloat(fe[1]));
} else {
types.observe(f, Float.parseFloat(features[f]));
}
}
}
}
private void binarize(
LineReader grammar_reader, LineReader alignment_reader, Queue<PackingFileTuple> slices)
throws IOException {
int counter = 0;
int slice_counter = 0;
int num_slices = 0;
boolean ready_to_flush = false;
String first_source_word = null;
PackingTrie<SourceValue> source_trie = new PackingTrie<SourceValue>();
PackingTrie<TargetValue> target_trie = new PackingTrie<TargetValue>();
FeatureBuffer feature_buffer = new FeatureBuffer();
AlignmentBuffer alignment_buffer = null;
if (packAlignments) alignment_buffer = new AlignmentBuffer();
TreeMap<Integer, Float> features = new TreeMap<Integer, Float>();
while (grammar_reader.hasNext()) {
String grammar_line = grammar_reader.next().trim();
counter++;
slice_counter++;
String[] fields = grammar_line.split("\\s\\|{3}\\s");
if (fields.length < 4) {
logger.warning("Incomplete grammar line at line " + counter);
continue;
}
String lhs_word = fields[0];
String[] source_words = fields[1].split("\\s");
String[] target_words = fields[2].split("\\s");
String[] feature_entries = fields[3].split("\\s");
// Reached slice limit size, indicate that we're closing up.
if (!ready_to_flush
&& (slice_counter > SLICE_SIZE
|| feature_buffer.overflowing()
|| (packAlignments && alignment_buffer.overflowing()))) {
ready_to_flush = true;
first_source_word = source_words[0];
}
// Finished closing up.
if (ready_to_flush && !first_source_word.equals(source_words[0])) {
slices.add(flush(source_trie, target_trie, feature_buffer, alignment_buffer, num_slices));
source_trie.clear();
target_trie.clear();
feature_buffer.clear();
if (packAlignments) alignment_buffer.clear();
num_slices++;
slice_counter = 0;
ready_to_flush = false;
}
int alignment_index = -1;
// If present, process alignments.
if (packAlignments) {
if (!alignment_reader.hasNext()) {
logger.severe("No more alignments starting in line " + counter);
throw new RuntimeException("No more alignments starting in line " + counter);
} else {
String alignment_line = alignment_reader.next().trim();
String[] alignment_entries = alignment_line.split("\\s");
byte[] alignments = new byte[alignment_entries.length * 2];
if (alignment_entries.length != 0) {
for (int i = 0; i < alignment_entries.length; i++) {
String[] parts = alignment_entries[i].split("-");
alignments[2 * i] = Byte.parseByte(parts[0]);
alignments[2 * i + 1] = Byte.parseByte(parts[1]);
}
}
alignment_index = alignment_buffer.add(alignments);
}
}
// Process features.
// Implicitly sort via TreeMap, write to data buffer, remember position
// to pass on to the source trie node.
features.clear();
for (int f = 0; f < feature_entries.length; ++f) {
String feature_entry = feature_entries[f];
if (this.labeled) {
String[] parts = feature_entry.split("=");
if (parts[0].equals("Alignment")) continue;
int feature_id = Vocabulary.id(parts[0]);
float feature_value = Float.parseFloat(parts[1]);
if (feature_value != 0) features.put(encoderConfig.innerId(feature_id), feature_value);
} else {
float feature_value = Float.parseFloat(feature_entry);
if (feature_value != 0) features.put(f, feature_value);
}
}
int features_index = feature_buffer.add(features);
// Sanity check on the data block index.
if (packAlignments && features_index != alignment_index) {
logger.severe(
"Block index mismatch between features ("
+ features_index
+ ") and alignments ("
+ alignment_index
+ ").");
throw new RuntimeException("Data block index mismatch.");
}
// Process source side.
SourceValue sv = new SourceValue(Vocabulary.id(lhs_word), features_index);
int[] source = new int[source_words.length];
for (int i = 0; i < source_words.length; i++) {
if (FormatUtils.isNonterminal(source_words[i]))
source[i] = Vocabulary.id(FormatUtils.stripNt(source_words[i]));
else source[i] = Vocabulary.id(source_words[i]);
}
source_trie.add(source, sv);
// Process target side.
TargetValue tv = new TargetValue(sv);
int[] target = new int[target_words.length];
for (int i = 0; i < target_words.length; i++) {
if (FormatUtils.isNonterminal(target_words[i])) {
target[target_words.length - (i + 1)] = -FormatUtils.getNonterminalIndex(target_words[i]);
} else {
target[target_words.length - (i + 1)] = Vocabulary.id(target_words[i]);
}
}
target_trie.add(target, tv);
}
slices.add(flush(source_trie, target_trie, feature_buffer, alignment_buffer, num_slices));
}
