def get_morph_chain(nouns, chunks):
if isinstance(nouns, list):
chains = []
for i in nouns:
chains.append(get_morph_chain(i, chunks))
return chains
else:
if nouns is None:
return ''
chunk = chunks[nouns]
omitted = NLP47.omit_punctual_from_morphs(chunk.morphs())
omitted_string = NLP42.concat_morphs(omitted)
if chunk.dst() == -1:
return [omitted_string]
else:
return [omitted_string] + get_morph_chain(chunk.dst(), chunks)
def get_chunks_chain(nouns, chunks):
if isinstance(nouns, list):
chains = []
for i in nouns:
chunks_chain, indice = get_chunks_chain(i, chunks)
d = dict(chunks_chain = chunks_chain, index = indice)
chains.append(d)
return chains
else:
if nouns is None:
return ''
chunk = chunks[nouns]
omitted_morphs = NLP47.omit_punctual_from_morphs(chunk.morphs())
new_chunk = NLP42.Chunk(omitted_morphs, chunk.dst())
for s in chunk.srcs():
new_chunk.append_srcs(s)
if chunk.dst() == -1:
return [new_chunk], [nouns]
else:
new_chunks, indice = get_chunks_chain(chunk.dst(), chunks)
return [new_chunk] + new_chunks, [nouns] + indice
def get_chunk_surface_string(chunk):
morphs = chunk.morphs()
omitted_morphs = NLP47.omit_punctual_from_morphs(morphs)
return ''.join(map(lambda x: x.surface(), omitted_morphs))
