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-rw-r--r--python/pkg/cdec/sa/__init__.py1
-rw-r--r--python/pkg/cdec/sa/extract.py29
-rw-r--r--python/pkg/cdec/sa/extractor.py9
-rwxr-xr-xpython/pkg/cdec/sa/online_extractor.py337
4 files changed, 371 insertions, 5 deletions
diff --git a/python/pkg/cdec/sa/__init__.py b/python/pkg/cdec/sa/__init__.py
index e0a344b7..418531d9 100644
--- a/python/pkg/cdec/sa/__init__.py
+++ b/python/pkg/cdec/sa/__init__.py
@@ -1,4 +1,5 @@
from cdec.sa._sa import make_lattice, decode_lattice, decode_sentence,\
+ encode_words, decode_words,\
SuffixArray, DataArray, LCP, Precomputation, Alignment, BiLex,\
HieroCachingRuleFactory, Sampler, Scorer
from cdec.sa.extractor import GrammarExtractor
diff --git a/python/pkg/cdec/sa/extract.py b/python/pkg/cdec/sa/extract.py
index b7d2fe6e..d1861101 100644
--- a/python/pkg/cdec/sa/extract.py
+++ b/python/pkg/cdec/sa/extract.py
@@ -9,6 +9,8 @@ import signal
import cdec.sa
extractor, prefix = None, None
+online = False
+
def make_extractor(config, grammars, features):
global extractor, prefix
signal.signal(signal.SIGINT, signal.SIG_IGN) # Let parent process catch Ctrl+C
@@ -25,22 +27,37 @@ def load_features(features):
sys.path.remove(prefix)
def extract(inp):
- global extractor, prefix
+ global extractor, prefix, online
i, sentence = inp
sentence = sentence[:-1]
fields = re.split('\s*\|\|\|\s*', sentence)
suffix = ''
- if len(fields) > 1:
- sentence = fields[0]
- suffix = ' ||| ' + ' ||| '.join(fields[1:])
+ # 3 fields for online mode, 1 for normal
+ if online:
+ if len(fields) < 3:
+ sys.stderr.write('Error: online mode requires references and alignments.'
+ ' Not adding sentence to training data: {0}\n'.format(sentence))
+ sentence = fields[0]
+ else:
+ sentence, reference, alignment = fields[0:3]
+ if len(fields) > 3:
+ suffix = ' ||| ' + ' ||| '.join(fields[3:])
+ else:
+ if len(fields) > 1:
+ sentence = fields[0]
+ suffix = ' ||| ' + ' ||| '.join(fields[1:])
grammar_file = os.path.join(prefix, 'grammar.{0}'.format(i))
with open(grammar_file, 'w') as output:
for rule in extractor.grammar(sentence):
output.write(str(rule)+'\n')
+ # Add training instance _after_ extracting grammars
+ if online:
+ extractor.add_instance(sentence, reference, alignment)
grammar_file = os.path.abspath(grammar_file)
return '<seg grammar="{0}" id="{1}"> {2} </seg>{3}'.format(grammar_file, i, sentence, suffix)
def main():
+ global online
logging.basicConfig(level=logging.INFO)
parser = argparse.ArgumentParser(description='Extract grammars from a compiled corpus.')
parser.add_argument('-c', '--config', required=True,
@@ -53,6 +70,8 @@ def main():
help='number of sentences / chunk')
parser.add_argument('-f', '--features', nargs='*', default=[],
help='additional feature definitions')
+ parser.add_argument('-o', '--online', action='store_true', default=False,
+ help='online grammar extraction')
args = parser.parse_args()
if not os.path.exists(args.grammars):
@@ -63,6 +82,8 @@ def main():
' should be a python module\n'.format(featdef))
sys.exit(1)
+ online = args.online
+
if args.jobs > 1:
logging.info('Starting %d workers; chunk size: %d', args.jobs, args.chunksize)
pool = mp.Pool(args.jobs, make_extractor, (args.config, args.grammars, args.features))
diff --git a/python/pkg/cdec/sa/extractor.py b/python/pkg/cdec/sa/extractor.py
index e09f79ea..f3a86d9d 100644
--- a/python/pkg/cdec/sa/extractor.py
+++ b/python/pkg/cdec/sa/extractor.py
@@ -1,5 +1,5 @@
from itertools import chain
-import os
+import os, sys
import cdec.configobj
from cdec.sa.features import EgivenFCoherent, SampleCountF, CountEF,\
MaxLexEgivenF, MaxLexFgivenE, IsSingletonF, IsSingletonFE
@@ -82,3 +82,10 @@ class GrammarExtractor:
meta = cdec.sa.annotate(words)
cnet = cdec.sa.make_lattice(words)
return self.factory.input(cnet, meta)
+
+ # Add training instance to data
+ def add_instance(self, sentence, reference, alignment):
+ f_words = cdec.sa.encode_words(sentence.split())
+ e_words = cdec.sa.encode_words(reference.split())
+ al = sorted(tuple(int(i) for i in pair.split('-')) for pair in alignment.split())
+ self.factory.add_instance(f_words, e_words, al) \ No newline at end of file
diff --git a/python/pkg/cdec/sa/online_extractor.py b/python/pkg/cdec/sa/online_extractor.py
new file mode 100755
index 00000000..03a46b3b
--- /dev/null
+++ b/python/pkg/cdec/sa/online_extractor.py
@@ -0,0 +1,337 @@
+#!/usr/bin/env python
+
+import collections, sys
+
+import cdec.configobj
+
+CAT = '[X]' # Default non-terminal
+MAX_SIZE = 15 # Max span of a grammar rule (source)
+MAX_LEN = 5 # Max number of terminals and non-terminals in a rule (source)
+MAX_NT = 2 # Max number of non-terminals in a rule
+MIN_GAP = 1 # Min number of terminals between non-terminals (source)
+
+# Spans are _inclusive_ on both ends [i, j]
+# TODO: Replace all of this with bit vectors?
+def span_check(vec, i, j):
+ k = i
+ while k <= j:
+ if vec[k]:
+ return False
+ k += 1
+ return True
+
+def span_flip(vec, i, j):
+ k = i
+ while k <= j:
+ vec[k] = ~vec[k]
+ k += 1
+
+# Next non-terminal
+def next_nt(nt):
+ if not nt:
+ return 1
+ return nt[-1][0] + 1
+
+class NonTerminal:
+ def __init__(self, index):
+ self.index = index
+ def __str__(self):
+ return '[X,{0}]'.format(self.index)
+
+def fmt_rule(f_sym, e_sym, links):
+ a_str = ' '.join('{0}-{1}'.format(i, j) for (i, j) in links)
+ return '[X] ||| {0} ||| {1} ||| {2}'.format(' '.join(str(sym) for sym in f_sym),
+ ' '.join(str(sym) for sym in e_sym),
+ a_str)
+
+class OnlineGrammarExtractor:
+
+ def __init__(self, config=None):
+ if isinstance(config, str) or isinstance(config, unicode):
+ if not os.path.exists(config):
+ raise IOError('cannot read configuration from {0}'.format(config))
+ config = cdec.configobj.ConfigObj(config, unrepr=True)
+ elif not config:
+ config = collections.defaultdict(lambda: None)
+ self.category = CAT
+ self.max_size = MAX_SIZE
+ self.max_length = config['max_len'] or MAX_LEN
+ self.max_nonterminals = config['max_nt'] or MAX_NT
+ self.min_gap_size = MIN_GAP
+ # Hard coded: require at least one aligned word
+ # Hard coded: require tight phrases
+
+ # Phrase counts
+ self.phrases_f = collections.defaultdict(lambda: 0)
+ self.phrases_e = collections.defaultdict(lambda: 0)
+ self.phrases_fe = collections.defaultdict(lambda: collections.defaultdict(lambda: 0))
+
+ # Bilexical counts
+ self.bilex_f = collections.defaultdict(lambda: 0)
+ self.bilex_e = collections.defaultdict(lambda: 0)
+ self.bilex_fe = collections.defaultdict(lambda: collections.defaultdict(lambda: 0))
+
+ # Aggregate bilexical counts
+ def aggr_bilex(self, f_words, e_words):
+
+ for e_w in e_words:
+ self.bilex_e[e_w] += 1
+
+ for f_w in f_words:
+ self.bilex_f[f_w] += 1
+ for e_w in e_words:
+ self.bilex_fe[f_w][e_w] += 1
+
+ # Aggregate stats from a training instance:
+ # Extract hierarchical phrase pairs
+ # Update bilexical counts
+ def add_instance(self, f_words, e_words, alignment):
+
+ # Bilexical counts
+ self.aggr_bilex(f_words, e_words)
+
+ # Phrase pairs extracted from this instance
+ phrases = set()
+
+ f_len = len(f_words)
+ e_len = len(e_words)
+
+ # Pre-compute alignment info
+ al = [[] for i in range(f_len)]
+ al_span = [[f_len + 1, -1] for i in range(f_len)]
+ for (f, e) in alignment:
+ al[f].append(e)
+ al_span[f][0] = min(al_span[f][0], e)
+ al_span[f][1] = max(al_span[f][1], e)
+
+ # Target side word coverage
+ # TODO: Does Cython do bit vectors?
+ cover = [0] * e_len
+
+ # Extract all possible hierarchical phrases starting at a source index
+ # f_ i and j are current, e_ i and j are previous
+ def extract(f_i, f_j, e_i, e_j, wc, links, nt, nt_open):
+ # Phrase extraction limits
+ if wc + len(nt) > self.max_length or (f_j + 1) > f_len or \
+ (f_j - f_i) + 1 > self.max_size:
+ return
+ # Unaligned word
+ if not al[f_j]:
+ # Open non-terminal: extend
+ if nt_open:
+ nt[-1][2] += 1
+ extract(f_i, f_j + 1, e_i, e_j, wc, links, nt, True)
+ nt[-1][2] -= 1
+ # No open non-terminal: extend with word
+ else:
+ extract(f_i, f_j + 1, e_i, e_j, wc + 1, links, nt, False)
+ return
+ # Aligned word
+ link_i = al_span[f_j][0]
+ link_j = al_span[f_j][1]
+ new_e_i = min(link_i, e_i)
+ new_e_j = max(link_j, e_j)
+ # Open non-terminal: close, extract, extend
+ if nt_open:
+ # Close non-terminal, checking for collisions
+ old_last_nt = nt[-1][:]
+ nt[-1][2] = f_j
+ if link_i < nt[-1][3]:
+ if not span_check(cover, link_i, nt[-1][3] - 1):
+ nt[-1] = old_last_nt
+ return
+ span_flip(cover, link_i, nt[-1][3] - 1)
+ nt[-1][3] = link_i
+ if link_j > nt[-1][4]:
+ if not span_check(cover, nt[-1][4] + 1, link_j):
+ nt[-1] = old_last_nt
+ return
+ span_flip(cover, nt[-1][4] + 1, link_j)
+ nt[-1][4] = link_j
+ for rule in self.form_rules(f_i, new_e_i, f_words[f_i:f_j + 1], e_words[new_e_i:new_e_j + 1], nt, links):
+ phrases.add(rule)
+ extract(f_i, f_j + 1, new_e_i, new_e_j, wc, links, nt, False)
+ nt[-1] = old_last_nt
+ if link_i < nt[-1][3]:
+ span_flip(cover, link_i, nt[-1][3] - 1)
+ if link_j > nt[-1][4]:
+ span_flip(cover, nt[-1][4] + 1, link_j)
+ return
+ # No open non-terminal
+ # Extract, extend with word
+ collision = False
+ for link in al[f_j]:
+ if cover[link]:
+ collision = True
+ # Collisions block extraction and extension, but may be okay for
+ # continuing non-terminals
+ if not collision:
+ plus_links = []
+ for link in al[f_j]:
+ plus_links.append((f_j, link))
+ cover[link] = ~cover[link]
+ links.append(plus_links)
+ for rule in self.form_rules(f_i, new_e_i, f_words[f_i:f_j + 1], e_words[new_e_i:new_e_j + 1], nt, links):
+ phrases.add(rule)
+ extract(f_i, f_j + 1, new_e_i, new_e_j, wc + 1, links, nt, False)
+ links.pop()
+ for link in al[f_j]:
+ cover[link] = ~cover[link]
+ # Try to add a word to a (closed) non-terminal, extract, extend
+ if nt and nt[-1][2] == f_j - 1:
+ # Add to non-terminal, checking for collisions
+ old_last_nt = nt[-1][:]
+ nt[-1][2] = f_j
+ if link_i < nt[-1][3]:
+ if not span_check(cover, link_i, nt[-1][3] - 1):
+ nt[-1] = old_last_nt
+ return
+ span_flip(cover, link_i, nt[-1][3] - 1)
+ nt[-1][3] = link_i
+ if link_j > nt[-1][4]:
+ if not span_check(cover, nt[-1][4] + 1, link_j):
+ nt[-1] = old_last_nt
+ return
+ span_flip(cover, nt[-1][4] + 1, link_j)
+ nt[-1][4] = link_j
+ # Require at least one word in phrase
+ if links:
+ for rule in self.form_rules(f_i, new_e_i, f_words[f_i:f_j + 1], e_words[new_e_i:new_e_j + 1], nt, links):
+ phrases.add(rule)
+ extract(f_i, f_j + 1, new_e_i, new_e_j, wc, links, nt, False)
+ nt[-1] = old_last_nt
+ if new_e_i < nt[-1][3]:
+ span_flip(cover, link_i, nt[-1][3] - 1)
+ if link_j > nt[-1][4]:
+ span_flip(cover, nt[-1][4] + 1, link_j)
+ # Try to start a new non-terminal, extract, extend
+ if (not nt or f_j - nt[-1][2] > 1) and len(nt) < self.max_nonterminals:
+ # Check for collisions
+ if not span_check(cover, link_i, link_j):
+ return
+ span_flip(cover, link_i, link_j)
+ nt.append([next_nt(nt), f_j, f_j, link_i, link_j])
+ # Require at least one word in phrase
+ if links:
+ for rule in self.form_rules(f_i, new_e_i, f_words[f_i:f_j + 1], e_words[new_e_i:new_e_j + 1], nt, links):
+ phrases.add(rule)
+ extract(f_i, f_j + 1, new_e_i, new_e_j, wc, links, nt, False)
+ nt.pop()
+ span_flip(cover, link_i, link_j)
+ # TODO: try adding NT to start, end, both
+ # check: one aligned word on boundary that is not part of a NT
+
+ # Try to extract phrases from every f index
+ f_i = 0
+ while f_i < f_len:
+ # Skip if phrases won't be tight on left side
+ if not al[f_i]:
+ f_i += 1
+ continue
+ extract(f_i, f_i, f_len + 1, -1, 1, [], [], False)
+ f_i += 1
+
+ for rule in sorted(phrases):
+ print rule
+
+ # Create a rule from source, target, non-terminals, and alignments
+ def form_rules(self, f_i, e_i, f_span, e_span, nt, al):
+
+ # This could be more efficient but is unlikely to be the bottleneck
+
+ rules = []
+
+ nt_inv = sorted(nt, cmp=lambda x, y: cmp(x[3], y[3]))
+
+ f_sym = f_span[:]
+ off = f_i
+ for next_nt in nt:
+ nt_len = (next_nt[2] - next_nt[1]) + 1
+ i = 0
+ while i < nt_len:
+ f_sym.pop(next_nt[1] - off)
+ i += 1
+ f_sym.insert(next_nt[1] - off, NonTerminal(next_nt[0]))
+ off += (nt_len - 1)
+
+ e_sym = e_span[:]
+ off = e_i
+ for next_nt in nt_inv:
+ nt_len = (next_nt[4] - next_nt[3]) + 1
+ i = 0
+ while i < nt_len:
+ e_sym.pop(next_nt[3] - off)
+ i += 1
+ e_sym.insert(next_nt[3] - off, NonTerminal(next_nt[0]))
+ off += (nt_len - 1)
+
+ # Adjusting alignment links takes some doing
+ links = [list(link) for sub in al for link in sub]
+ links_len = len(links)
+ nt_len = len(nt)
+ nt_i = 0
+ off = f_i
+ i = 0
+ while i < links_len:
+ while nt_i < nt_len and links[i][0] > nt[nt_i][1]:
+ off += (nt[nt_i][2] - nt[nt_i][1])
+ nt_i += 1
+ links[i][0] -= off
+ i += 1
+ nt_i = 0
+ off = e_i
+ i = 0
+ while i < links_len:
+ while nt_i < nt_len and links[i][1] > nt_inv[nt_i][3]:
+ off += (nt_inv[nt_i][4] - nt_inv[nt_i][3])
+ nt_i += 1
+ links[i][1] -= off
+ i += 1
+
+ # Rule
+ rules.append(fmt_rule(f_sym, e_sym, links))
+ if len(f_sym) >= self.max_length or len(nt) >= self.max_nonterminals:
+ return rules
+ last_index = nt[-1][0] if nt else 0
+ # Rule [X]
+ if not nt or not isinstance(f_sym[-1], NonTerminal):
+ f_sym.append(NonTerminal(last_index + 1))
+ e_sym.append(NonTerminal(last_index + 1))
+ rules.append(fmt_rule(f_sym, e_sym, links))
+ f_sym.pop()
+ e_sym.pop()
+ # [X] Rule
+ if not nt or not isinstance(f_sym[0], NonTerminal):
+ for sym in f_sym:
+ if isinstance(sym, NonTerminal):
+ sym.index += 1
+ for sym in e_sym:
+ if isinstance(sym, NonTerminal):
+ sym.index += 1
+ for link in links:
+ link[0] += 1
+ link[1] += 1
+ f_sym.insert(0, NonTerminal(1))
+ e_sym.insert(0, NonTerminal(1))
+ rules.append(fmt_rule(f_sym, e_sym, links))
+ if len(f_sym) >= self.max_length or len(nt) + 1 >= self.max_nonterminals:
+ return rules
+ # [X] Rule [X]
+ if not nt or not isinstance(f_sym[-1], NonTerminal):
+ f_sym.append(NonTerminal(last_index + 2))
+ e_sym.append(NonTerminal(last_index + 2))
+ rules.append(fmt_rule(f_sym, e_sym, links))
+ return rules
+
+def main(argv):
+
+ extractor = OnlineGrammarExtractor()
+
+ for line in sys.stdin:
+ print >> sys.stderr, line.strip()
+ f_words, e_words, a_str = (x.split() for x in line.split('|||'))
+ alignment = sorted(tuple(int(y) for y in x.split('-')) for x in a_str)
+ extractor.add_instance(f_words, e_words, alignment)
+
+if __name__ == '__main__':
+ main(sys.argv)