def process_entries(self, words):
entry_preprocessor = EntryPreprocessor(self.cfg)
entries = map(entry_preprocessor.preprocess_entry,
(self.raw_dict[word] for word in words))
stanford_wrapper = StanfordWrapper(self.cfg)
entries = stanford_wrapper.parse_sentences(entries, definitions=True)
dependency_processor = DependencyProcessor(self.cfg)
for entry in entries:
if entry['to_filter']:
continue
word = entry['hw']
for sense in entry['senses']:
definition = sense['definition']
if definition is None:
continue
definition['deps'] = dependency_processor.process_dependencies(
definition['deps'])
if word in self.dictionary:
logging.warning(
"entries with identical headwords:\n{0}\n{1}".format(
entry, self.dictionary[word]))
self.unify(self.dictionary[word], entry)
else:
self.dictionary[word] = entry
def __init__(self, cfg):
self.cfg = cfg
self.lang = self.cfg.get("deps", "lang")
self.out_fn = self.cfg.get("machine", "definitions_binary_out")
ensure_dir(os.path.dirname(self.out_fn))
self.dependency_processor = DependencyProcessor(self.cfg)
dep_map_fn = cfg.get("deps", "dep_map")
self.read_dep_map(dep_map_fn)
self.undefined = set()
self.lemmatizer = Lemmatizer(cfg)
self.lexicon_fn = self.cfg.get("machine", "definitions_binary")
self.lexicon = Lexicon.load_from_binary(self.lexicon_fn)
self.word2lemma = {}
def __init__(self, cfg, direct_parse=False):
self.cfg = cfg
self.lang = self.cfg.get("deps", "lang")
if (not direct_parse):
self.out_fn = self.cfg.get("machine", "definitions_binary_out")
ensure_dir(os.path.dirname(self.out_fn))
self.dependency_processor = DependencyProcessor(self.cfg)
dep_map_fn = cfg.get("deps", "dep_map")
self.undefined = set()
self.lemmatizer = Lemmatizer(cfg)
self.lexicon_fn = self.cfg.get("machine", "definitions_binary")
self.lexicon = Lexicon.load_from_binary(self.lexicon_fn)
self.read_dep_map(dep_map_fn)
self.word2lemma = {}
self.first_only = cfg.getboolean('filter', 'first_only')
def __init__(self, cfg):
self.cfg = cfg
self.dfl = DepTo4lang(cfg)
self.dep_processor = DependencyProcessor(cfg)
self.vocabulary = {}
self.words = []
self.binary_vocab = {}
self.binary_words = []
self.coocc = [], [], []
self.zero_array = None
self.binary_array = None
def __init__(self, cfg):
self.cfg = cfg
self.lang = self.cfg.get("deps", "lang")
self.out_fn = self.cfg.get("machine", "definitions_binary_out")
ensure_dir(os.path.dirname(self.out_fn))
self.dependency_processor = DependencyProcessor(self.cfg)
dep_map_fn = cfg.get("deps", "dep_map")
self.read_dep_map(dep_map_fn)
self.undefined = set()
self.lemmatizer = Lemmatizer(cfg)
self.lexicon_fn = self.cfg.get("machine", "definitions_binary")
self.lexicon = Lexicon.load_from_binary(self.lexicon_fn)
self.word2lemma = {}
def __init__(self, cfg, direct_parse=False):
self.cfg = cfg
self.lang = self.cfg.get("deps", "lang")
if(not direct_parse):
self.out_fn = self.cfg.get("machine", "definitions_binary_out")
ensure_dir(os.path.dirname(self.out_fn))
self.dependency_processor = DependencyProcessor(self.cfg)
dep_map_fn = cfg.get("deps", "dep_map")
self.undefined = set()
self.lemmatizer = Lemmatizer(cfg)
self.lexicon_fn = self.cfg.get("machine", "definitions_binary")
self.lexicon = Lexicon.load_from_binary(self.lexicon_fn)
self.read_dep_map(dep_map_fn)
self.word2lemma = {}
self.first_n = cfg.getint('filter', 'first_n')
self.graph_dir = self.cfg.get('machine', 'graph_dir')
ensure_dir(self.graph_dir)
class DepTo4lang():
dep_regex = re.compile("([a-z_-]*)\((.*?)-([0-9]*)'*, (.*?)-([0-9]*)'*\)")
def __init__(self, cfg):
self.cfg = cfg
self.lang = self.cfg.get("deps", "lang")
self.out_fn = self.cfg.get("machine", "definitions_binary_out")
ensure_dir(os.path.dirname(self.out_fn))
self.dependency_processor = DependencyProcessor(self.cfg)
dep_map_fn = cfg.get("deps", "dep_map")
self.read_dep_map(dep_map_fn)
self.undefined = set()
self.lemmatizer = Lemmatizer(cfg)
self.lexicon_fn = self.cfg.get("machine", "definitions_binary")
self.lexicon = Lexicon.load_from_binary(self.lexicon_fn)
self.word2lemma = {}
def read_dep_map(self, dep_map_fn):
self.dependencies = defaultdict(list)
for line in file(dep_map_fn):
l = line.strip()
if not l or l.startswith('#'):
continue
dep = Dependency.create_from_line(l)
self.dependencies[dep.name].append(dep)
def apply_dep(self, dep, machine1, machine2):
dep_type = dep['type']
msd1 = dep['gov'].get('msd')
msd2 = dep['dep'].get('msd')
if dep_type not in self.dependencies:
if dep_type not in self.undefined:
self.undefined.add(dep_type)
logging.warning(
'skipping dependency not in dep_to_4lang map: {0}'.format(
dep_type))
return False # not that anyone cares
for dep in self.dependencies[dep_type]:
dep.apply(msd1, msd2, machine1, machine2)
def dep_to_4lang(self):
dict_fn = self.cfg.get("dict", "output_file")
logging.info('reading dependencies from {0}...'.format(dict_fn))
longman = json.load(open(dict_fn))
for c, (word, entry) in enumerate(longman.iteritems()):
if c % 1000 == 0:
logging.info("added {0}...".format(c))
try:
if entry["to_filter"]:
continue
if not entry['senses']:
# TODO these are words that only have pointers to an MWE
# that they are part of.
continue
definition = entry['senses'][0]['definition']
if definition is None:
continue
deps = definition['deps']
if not deps:
# TODO see previous comment
continue
machine = self.get_dep_definition(word, deps)
if machine is None:
continue
# logging.info('adding: {0}'.format(word))
# logging.info('ext_lex_keys: {0}'.format(
# self.lexicon.ext_lexicon.keys()))
self.lexicon.add(word, machine)
except Exception:
logging.error(u"exception caused by: '{0}'".format(word))
# logging.error(
# u'skipping "{0}" because of an exception:'.format(
# word))
# logging.info("entry: {0}".format(entry))
traceback.print_exc()
sys.exit(-1)
continue
logging.info('added {0}, done!'.format(c + 1))
def print_graphs(self):
print_4lang_graphs(self.lexicon.ext_lexicon,
self.cfg.get('machine', 'graph_dir'))
def save_machines(self):
self.lexicon.save_to_binary(self.out_fn)
@staticmethod
def parse_dependency(string):
dep_match = DepTo4lang.dep_regex.match(string)
if not dep_match:
raise Exception('cannot parse dependency: {0}'.format(string))
dep, word1, id1, word2, id2 = dep_match.groups()
return dep, (word1, id1), (word2, id2)
def get_root_lemmas(self, deps):
return [
d['dep'].setdefault('lemma',
self.lemmatizer.lemmatize(d['dep']['word']))
for d in deps if d['type'] == 'root'
] # TODO
def get_dep_definition(self, word, deps):
deps = self.dependency_processor.process_dependencies(deps)
root_lemmas = self.get_root_lemmas(deps)
if not root_lemmas:
logging.warning(
u'no root dependency, skipping word "{0}"'.format(word))
return None
word2machine = self.get_machines_from_deps_and_corefs(
[deps], [], process_deps=False)
root_machines = filter(None, map(word2machine.get, root_lemmas))
if not root_machines:
logging.info("failed to find root machine")
logging.info('root lemmas: {0}'.format(root_lemmas))
logging.info('word2machine: {0}'.format(word2machine))
sys.exit(-1)
word_machine = self.lexicon.get_new_machine(word)
for root_machine in root_machines:
word_machine.unify(root_machine)
word_machine.append(root_machine, 0)
return word_machine
def get_machines_from_deps_and_corefs(self,
dep_lists,
corefs,
process_deps=True):
if process_deps:
dep_lists = map(self.dependency_processor.process_dependencies,
dep_lists)
coref_index = defaultdict(dict)
for (word, sen_no), mentions in corefs:
for m_word, m_sen_no in mentions:
coref_index[m_word][m_sen_no - 1] = word
# logging.info('coref index: {0}'.format(coref_index))
word2machine = {}
for deps in dep_lists:
for dep in deps:
for t in (dep['gov'], dep['dep']):
self.word2lemma[t['word']] = t.setdefault(
'lemma', self.lemmatizer.lemmatize(t['word']))
for i, deps in enumerate(dep_lists):
try:
for dep in deps:
word1 = dep['gov']['word']
word2 = dep['dep']['word']
# logging.info('dep: {0}, w1: {1}, w2: {2}'.format(
# repr(dep), repr(word1), repr(word2)))
c_word1 = coref_index[word1].get(i, word1)
c_word2 = coref_index[word2].get(i, word2)
"""
if c_word1 != word1:
logging.warning(
"unifying '{0}' with canonical '{1}'".format(
word1, c_word1))
if c_word2 != word2:
logging.warning(
"unifying '{0}' with canonical '{1}'".format(
word2, c_word2))
"""
lemma1 = self.word2lemma[c_word1]
lemma2 = self.word2lemma[c_word2]
# TODO
# lemma1 = lemma1.replace('/', '_PER_')
# lemma2 = lemma2.replace('/', '_PER_')
# logging.info(
# 'lemma1: {0}, lemma2: {1}'.format(
# repr(lemma1), repr(lemma2)))
for lemma in (lemma1, lemma2):
if lemma not in word2machine:
word2machine[lemma] = self.lexicon.get_new_machine(
lemma)
self.apply_dep(dep, word2machine[lemma1],
word2machine[lemma2])
except:
logging.error(u"failure on dep: {0}({1}, {2})".format(
dep, word1, word2))
traceback.print_exc()
raise Exception("adding dependencies failed")
return word2machine
class DepTo4lang():
dep_regex = re.compile("([a-z_-]*)\((.*?)-([0-9]*)'*, (.*?)-([0-9]*)'*\)")
def __init__(self, cfg):
self.cfg = cfg
self.lang = self.cfg.get("deps", "lang")
self.out_fn = self.cfg.get("machine", "definitions_binary_out")
ensure_dir(os.path.dirname(self.out_fn))
self.dependency_processor = DependencyProcessor(self.cfg)
dep_map_fn = cfg.get("deps", "dep_map")
self.read_dep_map(dep_map_fn)
self.undefined = set()
self.lemmatizer = Lemmatizer(cfg)
self.lexicon_fn = self.cfg.get("machine", "definitions_binary")
self.lexicon = Lexicon.load_from_binary(self.lexicon_fn)
self.word2lemma = {}
def read_dep_map(self, dep_map_fn):
self.dependencies = defaultdict(list)
for line in file(dep_map_fn):
l = line.strip()
if not l or l.startswith('#'):
continue
dep = Dependency.create_from_line(l)
self.dependencies[dep.name].append(dep)
def apply_dep(self, dep, machine1, machine2):
dep_type = dep['type']
msd1 = dep['gov'].get('msd')
msd2 = dep['dep'].get('msd')
if dep_type not in self.dependencies:
if dep_type not in self.undefined:
self.undefined.add(dep_type)
logging.warning(
'skipping dependency not in dep_to_4lang map: {0}'.format(
dep_type))
return False # not that anyone cares
for dep in self.dependencies[dep_type]:
dep.apply(msd1, msd2, machine1, machine2)
def dep_to_4lang(self):
dict_fn = self.cfg.get("dict", "output_file")
logging.info('reading dependencies from {0}...'.format(dict_fn))
longman = json.load(open(dict_fn))
for c, (word, entry) in enumerate(longman.iteritems()):
if c % 1000 == 0:
logging.info("added {0}...".format(c))
try:
if entry["to_filter"]:
continue
if not entry['senses']:
# TODO these are words that only have pointers to an MWE
# that they are part of.
continue
definition = entry['senses'][0]['definition']
if definition is None:
continue
deps = definition['deps']
if not deps:
# TODO see previous comment
continue
machine = self.get_dep_definition(word, deps)
if machine is None:
continue
# logging.info('adding: {0}'.format(word))
# logging.info('ext_lex_keys: {0}'.format(
# self.lexicon.ext_lexicon.keys()))
self.lexicon.add(word, machine)
except Exception:
logging.error(u"exception caused by: '{0}'".format(word))
# logging.error(
# u'skipping "{0}" because of an exception:'.format(
# word))
# logging.info("entry: {0}".format(entry))
traceback.print_exc()
sys.exit(-1)
continue
logging.info('added {0}, done!'.format(c + 1))
def print_graphs(self):
print_4lang_graphs(
self.lexicon.ext_lexicon,
self.cfg.get('machine', 'graph_dir'))
def save_machines(self):
self.lexicon.save_to_binary(self.out_fn)
@staticmethod
def parse_dependency(string):
dep_match = DepTo4lang.dep_regex.match(string)
if not dep_match:
raise Exception('cannot parse dependency: {0}'.format(string))
dep, word1, id1, word2, id2 = dep_match.groups()
return dep, (word1, id1), (word2, id2)
def get_root_lemmas(self, deps):
return [
d['dep'].setdefault(
'lemma', self.lemmatizer.lemmatize(d['dep']['word']))
for d in deps if d['type'] == 'root'] # TODO
def get_dep_definition(self, word, deps):
deps = self.dependency_processor.process_dependencies(deps)
root_lemmas = self.get_root_lemmas(deps)
if not root_lemmas:
logging.warning(
u'no root dependency, skipping word "{0}"'.format(word))
return None
word2machine = self.get_machines_from_deps_and_corefs(
[deps], [], process_deps=False)
root_machines = filter(None, map(word2machine.get, root_lemmas))
if not root_machines:
logging.info("failed to find root machine")
logging.info('root lemmas: {0}'.format(root_lemmas))
logging.info('word2machine: {0}'.format(word2machine))
sys.exit(-1)
word_machine = self.lexicon.get_new_machine(word)
for root_machine in root_machines:
word_machine.unify(root_machine)
word_machine.append(root_machine, 0)
return word_machine
def get_machines_from_deps_and_corefs(
self, dep_lists, corefs, process_deps=True):
if process_deps:
dep_lists = map(
self.dependency_processor.process_dependencies, dep_lists)
coref_index = defaultdict(dict)
for (word, sen_no), mentions in corefs:
for m_word, m_sen_no in mentions:
coref_index[m_word][m_sen_no-1] = word
# logging.info('coref index: {0}'.format(coref_index))
word2machine = {}
for deps in dep_lists:
for dep in deps:
for t in (dep['gov'], dep['dep']):
self.word2lemma[t['word']] = t.setdefault(
'lemma', self.lemmatizer.lemmatize(t['word']))
for i, deps in enumerate(dep_lists):
try:
for dep in deps:
word1 = dep['gov']['word']
word2 = dep['dep']['word']
# logging.info('dep: {0}, w1: {1}, w2: {2}'.format(
# repr(dep), repr(word1), repr(word2)))
c_word1 = coref_index[word1].get(i, word1)
c_word2 = coref_index[word2].get(i, word2)
"""
if c_word1 != word1:
logging.warning(
"unifying '{0}' with canonical '{1}'".format(
word1, c_word1))
if c_word2 != word2:
logging.warning(
"unifying '{0}' with canonical '{1}'".format(
word2, c_word2))
"""
lemma1 = self.word2lemma[c_word1]
lemma2 = self.word2lemma[c_word2]
# TODO
# lemma1 = lemma1.replace('/', '_PER_')
# lemma2 = lemma2.replace('/', '_PER_')
# logging.info(
# 'lemma1: {0}, lemma2: {1}'.format(
# repr(lemma1), repr(lemma2)))
for lemma in (lemma1, lemma2):
if lemma not in word2machine:
word2machine[lemma] = self.lexicon.get_new_machine(
lemma)
self.apply_dep(
dep, word2machine[lemma1], word2machine[lemma2])
except:
logging.error(u"failure on dep: {0}({1}, {2})".format(
dep, word1, word2))
traceback.print_exc()
raise Exception("adding dependencies failed")
return word2machine
