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 = [
        "appos",
        "nsubj",
        "nsubj:cop",
        "obj",
        "obl",
        "ROOT",
    ]
    extend_labels = [
        "amod",
        "compound",
        "compound:nn",
        "flat:name",
        "nmod",
        "nmod:gobj",
        "nmod:gsubj",
        "nmod:poss",
        "nummod",
    ]

    def potential_np_head(word):
        return word.pos in (NOUN, PROPN) and (
            word.dep in np_deps or word.head.pos == PRON
        )

    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[label] for label in labels]
    extend_deps = [doc.vocab.strings[label] for label in extend_labels]
    np_label = doc.vocab.strings.add("NP")
    conj_label = doc.vocab.strings.add("conj")

    rbracket = 0
    prev_end = -1
    for i, word in enumerate(doclike):
        if i < rbracket:
            continue

        # Is this a potential independent NP head or coordinated with
        # a NOUN that is itself an independent NP head?
        #
        # e.g. "Terveyden ja hyvinvoinnin laitos"
        if potential_np_head(word) or (
            word.dep == conj_label and potential_np_head(word.head)
        ):
            # Try to extend to the left to include adjective/num
            # modifiers, compound words etc.
            lbracket = word.i
            for ldep in word.lefts:
                if ldep.dep in extend_deps:
                    lbracket = ldep.left_edge.i
                    break

            # Prevent nested chunks from being produced
            if lbracket <= prev_end:
                continue

            rbracket = word.i
            # Try to extend the span to the right to capture
            # appositions and noun modifiers
            for rdep in word.rights:
                if rdep.dep in extend_deps:
                    rbracket = rdep.i
            prev_end = rbracket

            yield lbracket, rbracket + 1, np_label
Detect base noun phrases from a dependency parse. Works on both Doc and Span.
spacy/lang/fi/syntax_iterators.py