from typing import Union, Iterator, Tuple from ...symbols import NOUN, PROPN, PRON from ...errors import Errors from ...tokens import Doc, Span def noun_chunks(doclike: Union[Doc, Span]) -> Iterator[Tuple[int, int, int]]: """ Detect base noun phrases from a dependency parse. Works on both Doc and Span. """ labels = [ "nsubj", "nsubj:pass", "obj", "obl", "nmod", "pcomp", "appos", "ROOT", ] post_modifiers = ["flat", "fixed", "compound"] doc = doclike.doc # Ensure works on both Doc and Span. if not doc.has_annotation("DEP"): raise ValueError(Errors.E029) np_deps = {doc.vocab.strings.add(label) for label in labels} np_modifs = {doc.vocab.strings.add(modifier) for modifier in post_modifiers} np_label = doc.vocab.strings.add("NP") adj_label = doc.vocab.strings.add("amod") adp_label = doc.vocab.strings.add("ADP") conj = doc.vocab.strings.add("conj") conj_pos = doc.vocab.strings.add("CCONJ") prev_end = -1 for i, word in enumerate(doclike): if word.pos not in (NOUN, PROPN, PRON): continue # Prevent nested chunks from being produced if word.left_edge.i <= prev_end: continue if word.dep in np_deps: right_childs = list(word.rights) right_child = right_childs[0] if right_childs else None if right_child: if right_child.dep == adj_label: right_end = right_child.right_edge elif right_child.dep in np_modifs: # Check if we can expand to right right_end = word.right_edge else: right_end = word else: right_end = word prev_end = right_end.i left_index = word.left_edge.i left_index = ( left_index + 1 if word.left_edge.pos == adp_label else left_index ) # Eliminate left attached de, del yield left_index, right_end.i + 1, np_label elif word.dep == conj: head = word.head while head.dep == conj and head.head.i < head.i: head = head.head # If the head is an NP, and we're coordinated to it, we're an NP if head.dep in np_deps: prev_end = word.i left_index = word.left_edge.i # eliminate left attached conjunction left_index = ( left_index + 1 if word.left_edge.pos == conj_pos else left_index ) yield left_index, word.i + 1, np_label SYNTAX_ITERATORS = {"noun_chunks": noun_chunks}