code: def noun_chunks(obj):
      
      # 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".
      labels = [
          "sb",
          "oa",
          "da",
          "nk",
          "mo",
          "ag",
          "ROOT",
          "root",
          "cj",
          "pd",
          "og",
          "app",
      ]
      doc = obj.doc  # Ensure works on both Doc and Span.
      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
      for i, word in enumerate(obj):
          if i < rbracket:
              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
              yield word.left_edge.i, rbracket, np_label
docs: Detect base noun phrases from a dependency parse. Works on both Doc and Span.