code: def noun_chunks(
      doclike: Union[Doc, Span]
  ) -> Iterator[Tuple[int, int, int]]:
      """Detect base noun phrases from a dependency parse. Works on Doc and Span."""
      # this iterator extracts spans headed by NOUNs starting from the left-most
      # syntactic dependent until the NOUN itself for close apposition and
      # measurement construction, the span is sometimes extended to the right of
      # the NOUN. Example: "eine Tasse Tee" (a cup (of) tea) returns "eine Tasse Tee"
      # and not just "eine Tasse", same for "das Thema Familie".
      # fmt: off
      labels = ["sb", "oa", "da", "nk", "mo", "ag", "ROOT", "root", "cj", "pd", "og", "app"]
      # fmt: on
      doc = doclike.doc  # Ensure works on both Doc and Span.
      if not doc.has_annotation("DEP"):
          raise ValueError(Errors.E029)
      np_label = doc.vocab.strings.add("NP")
      np_deps = set(doc.vocab.strings.add(label) for label in labels)
      close_app = doc.vocab.strings.add("nk")
      rbracket = 0
      prev_end = -1
      for i, word in enumerate(doclike):
          if i < rbracket:
              continue
          # Prevent nested chunks from being produced
          if word.left_edge.i <= prev_end:
              continue
          if word.pos in (NOUN, PROPN, PRON) and word.dep in np_deps:
              rbracket = word.i + 1
              # try to extend the span to the right
              # to capture close apposition/measurement constructions
              for rdep in doc[word.i].rights:
                  if (
                      rdep.pos in (NOUN, PROPN)
                      and rdep.dep == close_app
                  ):
                      rbracket = rdep.i + 1
              prev_end = rbracket - 1
              yield word.left_edge.i, rbracket, np_label
  
imports: from typing import Iterator, Tuple, Union
  from ...errors import Errors
  from ...symbols import NOUN, PRON, PROPN
  from ...tokens import Doc, Span
label_desc: Use image node_id 1 for calling a global function with example usage: noun_chunks(doclike) without return types