def __init__(self):
conj_f = 'panoptes/ling/verb/conjugations.csv'
verb_f = 'data/verbs.json'
verb_mgr = VerbManager.from_files(conj_f, verb_f)
syllable_counter = SyllableCounter.default()
comparative_mgr = ComparativeManager.default(syllable_counter)
det_pronoun_mgr = DetPronounManager()
pro_adverb_mgr = ProAdverbManager()
time_of_day_mgr = TimeOfDayManager()
inflection_mgr = InflectionManager()
personal_mgr = PersonalManager(inflection_mgr)
plural_mgr = PluralManager.default()
self.say_state = SayState(comparative_mgr, det_pronoun_mgr,
inflection_mgr, personal_mgr, plural_mgr,
pro_adverb_mgr, time_of_day_mgr, verb_mgr)
# The SayContext is needed for conjugation. None of its fields affect
# conjugation for any object.
arbitrary_say_context = SayContext(prep=None,
has_left=False,
has_right=False,
is_possessive=False)
purpose_mgr = PurposeManager()
relation_mgr = RelationManager()
self.transform_state = \
TransformState(arbitrary_say_context, purpose_mgr, relation_mgr)
# Text -> surface structure -> deep structure.
self.text_to_parse = TextToParse()
self.parse_to_surface = ParseToSurface(comparative_mgr,
det_pronoun_mgr, personal_mgr,
plural_mgr, pro_adverb_mgr,
self.say_state, time_of_day_mgr,
verb_mgr)
self.surface_to_deep = SurfaceToDeep(purpose_mgr, relation_mgr)
self.joiner = Joiner()
def __init__(self):
conj_f = 'panoptes/ling/verb/conjugations.csv'
verb_f = 'data/verbs.json'
verb_mgr = VerbManager.from_files(conj_f, verb_f)
syllable_counter = SyllableCounter.default()
comparative_mgr = ComparativeManager.default(syllable_counter)
det_pronoun_mgr = DetPronounManager()
pro_adverb_mgr = ProAdverbManager()
time_of_day_mgr = TimeOfDayManager()
inflection_mgr = InflectionManager()
personal_mgr = PersonalManager(inflection_mgr)
plural_mgr = PluralManager.default()
self.say_state = SayState(
comparative_mgr, det_pronoun_mgr, inflection_mgr, personal_mgr,
plural_mgr, pro_adverb_mgr, time_of_day_mgr, verb_mgr)
# The SayContext is needed for conjugation. None of its fields affect
# conjugation for any object.
arbitrary_say_context = SayContext(
prep=None, has_left=False, has_right=False, is_possessive=False)
purpose_mgr = PurposeManager()
relation_mgr = RelationManager()
self.transform_state = \
TransformState(arbitrary_say_context, purpose_mgr, relation_mgr)
# Text -> surface structure -> deep structure.
self.text_to_parse = TextToParse()
self.parse_to_surface = ParseToSurface(
comparative_mgr, det_pronoun_mgr, personal_mgr, plural_mgr,
pro_adverb_mgr, self.say_state, time_of_day_mgr, verb_mgr)
self.surface_to_deep = SurfaceToDeep(purpose_mgr, relation_mgr)
self.joiner = Joiner()
class English(object):
def __init__(self):
conj_f = 'panoptes/ling/verb/conjugations.csv'
verb_f = 'data/verbs.json'
verb_mgr = VerbManager.from_files(conj_f, verb_f)
syllable_counter = SyllableCounter.default()
comparative_mgr = ComparativeManager.default(syllable_counter)
det_pronoun_mgr = DetPronounManager()
pro_adverb_mgr = ProAdverbManager()
time_of_day_mgr = TimeOfDayManager()
inflection_mgr = InflectionManager()
personal_mgr = PersonalManager(inflection_mgr)
plural_mgr = PluralManager.default()
self.say_state = SayState(
comparative_mgr, det_pronoun_mgr, inflection_mgr, personal_mgr,
plural_mgr, pro_adverb_mgr, time_of_day_mgr, verb_mgr)
# The SayContext is needed for conjugation. None of its fields affect
# conjugation for any object.
arbitrary_say_context = SayContext(
prep=None, has_left=False, has_right=False, is_possessive=False)
purpose_mgr = PurposeManager()
relation_mgr = RelationManager()
self.transform_state = \
TransformState(arbitrary_say_context, purpose_mgr, relation_mgr)
# Text -> surface structure -> deep structure.
self.text_to_parse = TextToParse()
self.parse_to_surface = ParseToSurface(
comparative_mgr, det_pronoun_mgr, personal_mgr, plural_mgr,
pro_adverb_mgr, self.say_state, time_of_day_mgr, verb_mgr)
self.surface_to_deep = SurfaceToDeep(purpose_mgr, relation_mgr)
self.joiner = Joiner()
def recognize(self, text, verbose=False):
"""
text -> Recognition
"""
parses = []
for parse in self.text_to_parse.parse(text):
parses.append(parse)
if verbose:
print '-- %d parses' % len(parses)
for parse in parses:
print '-- PARSE'
parse.dump()
keys = set()
keys_ssens = []
for parse in parses:
for ssen in self.parse_to_surface.recog(parse):
key = json.dumps(ssen.dump(), indent=4, sort_keys=True)
if key in keys:
continue
keys_ssens.append((key, ssen))
keys_ssens.sort()
if verbose:
print '-- %d ssens' % len(keys_ssens)
for i, (key, ssen) in enumerate(keys_ssens):
print '-- SSEN %d' % i
print key
keys = set()
keys_dsens = []
for _, ssen in keys_ssens:
for dsen in self.surface_to_deep.recog(ssen):
key = json.dumps(dsen.dump(), indent=4, sort_keys=True)
if key in keys:
continue
keys_dsens.append((key, dsen))
keys_dsens.sort()
if verbose:
print '-- %d dsens' % len(keys_dsens)
for i, (key, dsen) in enumerate(keys_dsens):
print '-- DSEN %d' % i
print key
ssens = map(lambda (k, s): s, keys_ssens)
dsens = map(lambda (k, d): d, keys_dsens)
return Recognition(parses, ssens, dsens)
def say(self, dsen, idiolect):
"""
DeepSentence, Idiolect -> text
"""
ssen = dsen.to_surface(self.transform_state, self.say_state, idiolect)
tokens = ssen.say(self.say_state, idiolect)
text = self.joiner.join(tokens, idiolect.contractions)
return text
class English(object):
def __init__(self):
conj_f = 'panoptes/ling/verb/conjugations.csv'
verb_f = 'data/verbs.json'
verb_mgr = VerbManager.from_files(conj_f, verb_f)
syllable_counter = SyllableCounter.default()
comparative_mgr = ComparativeManager.default(syllable_counter)
det_pronoun_mgr = DetPronounManager()
pro_adverb_mgr = ProAdverbManager()
time_of_day_mgr = TimeOfDayManager()
inflection_mgr = InflectionManager()
personal_mgr = PersonalManager(inflection_mgr)
plural_mgr = PluralManager.default()
self.say_state = SayState(comparative_mgr, det_pronoun_mgr,
inflection_mgr, personal_mgr, plural_mgr,
pro_adverb_mgr, time_of_day_mgr, verb_mgr)
# The SayContext is needed for conjugation. None of its fields affect
# conjugation for any object.
arbitrary_say_context = SayContext(prep=None,
has_left=False,
has_right=False,
is_possessive=False)
purpose_mgr = PurposeManager()
relation_mgr = RelationManager()
self.transform_state = \
TransformState(arbitrary_say_context, purpose_mgr, relation_mgr)
# Text -> surface structure -> deep structure.
self.text_to_parse = TextToParse()
self.parse_to_surface = ParseToSurface(comparative_mgr,
det_pronoun_mgr, personal_mgr,
plural_mgr, pro_adverb_mgr,
self.say_state, time_of_day_mgr,
verb_mgr)
self.surface_to_deep = SurfaceToDeep(purpose_mgr, relation_mgr)
self.joiner = Joiner()
def recognize(self, text, verbose=False):
"""
text -> Recognition
"""
parses = []
for parse in self.text_to_parse.parse(text):
parses.append(parse)
if verbose:
print '-- %d parses' % len(parses)
for parse in parses:
print '-- PARSE'
parse.dump()
keys = set()
keys_ssens = []
for parse in parses:
for ssen in self.parse_to_surface.recog(parse):
key = json.dumps(ssen.dump(), indent=4, sort_keys=True)
if key in keys:
continue
keys_ssens.append((key, ssen))
keys_ssens.sort()
if verbose:
print '-- %d ssens' % len(keys_ssens)
for i, (key, ssen) in enumerate(keys_ssens):
print '-- SSEN %d' % i
print key
keys = set()
keys_dsens = []
for _, ssen in keys_ssens:
for dsen in self.surface_to_deep.recog(ssen):
key = json.dumps(dsen.dump(), indent=4, sort_keys=True)
if key in keys:
continue
keys_dsens.append((key, dsen))
keys_dsens.sort()
if verbose:
print '-- %d dsens' % len(keys_dsens)
for i, (key, dsen) in enumerate(keys_dsens):
print '-- DSEN %d' % i
print key
ssens = map(lambda (k, s): s, keys_ssens)
dsens = map(lambda (k, d): d, keys_dsens)
return Recognition(parses, ssens, dsens)
def say(self, dsen, idiolect):
"""
DeepSentence, Idiolect -> text
"""
ssen = dsen.to_surface(self.transform_state, self.say_state, idiolect)
tokens = ssen.say(self.say_state, idiolect)
text = self.joiner.join(tokens, idiolect.contractions)
return text
