def run_simp(self, key, ctx:Context):
if ctx.meta['lang']=='da':
# if 'ikke' in ctx.chunks[key] or 'ikke'==ctx.lemmas[key]:
if ctx.chunk_contains(key, ['ikke']) or ctx.lemmas[key] in ['ikke']:
return True
elif ctx.meta['lang']=='de':
if ctx.chunk_contains(key, ['nicht']) or ctx.lemmas[key] in ['nicht']:
return True
return False
def run(self, key, ctx:Context):
from sagas.nlu.inspectors_dataset import interrogative_maps, trans_val
lang=ctx.meta['lang']
if lang in interrogative_maps:
data_map=interrogative_maps[lang][self.cat]
if self.is_part:
# val=ctx.lemmas[key]
word_full=ctx.get_word(key)
val=trans_val(word_full, lang)
succ= ctx.chunk_contains(key, data_map) or val in data_map
if succ:
ctx.add_result(self.name(), 'default', key,
{'category': self.cat, **word_values(word_full, lang)},
delivery_type='sentence')
return succ
else:
word_val=trans_val(key, lang)
logger.debug(f"*** {key} -- {word_val}, {data_map}")
succ= word_val in data_map
if succ:
ctx.add_result(self.name(), 'default', 'head',
{'category': self.cat, **word_values(key, lang)},
delivery_type='sentence')
return succ
return False
def run(self, key, ctx:Context):
from sagas.nlu.inspectors_dataset import negative_maps
from sagas.nlu.inspectors_dataset import translit_langs
from sagas.nlu.transliterations import translits
lang=ctx.meta['lang']
if lang in negative_maps:
data_map=negative_maps[lang]
if lang in translit_langs:
word_val=translits.translit(ctx.words[key], lang)
else:
word_val=ctx.lemmas[key]
if ctx.chunk_contains(key, data_map) or word_val in data_map:
return True
return False