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b98d216205
* Update Catalan language data Update Catalan language data based on contributions from the Text Mining Unit at the Barcelona Supercomputing Center: https://github.com/TeMU-BSC/spacy4release/tree/main/lang_data * Update tokenizer settings for UD Catalan AnCora Update for UD Catalan AnCora v2.7 with merged multi-word tokens. * Update test * Move prefix patternt to more generic infix pattern * Clean up
47 lines
1.8 KiB
Python
47 lines
1.8 KiB
Python
from ...symbols import NOUN, PROPN
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from ...errors import Errors
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def noun_chunks(doclike):
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"""Detect base noun phrases from a dependency parse. Works on Doc and Span."""
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# fmt: off
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labels = ["nsubj", "nsubj:pass", "obj", "obl", "iobj", "ROOT", "appos", "nmod", "nmod:poss"]
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# fmt: on
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doc = doclike.doc # Ensure works on both Doc and Span.
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if not doc.has_annotation("DEP"):
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raise ValueError(Errors.E029)
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np_deps = [doc.vocab.strings[label] for label in labels]
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np_label = doc.vocab.strings.add("NP")
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prev_end = -1
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for i, word in enumerate(doclike):
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if word.pos not in (NOUN, PROPN):
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continue
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# Prevent nested chunks from being produced
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if word.left_edge.i <= prev_end:
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continue
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if word.dep in np_deps:
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left = word.left_edge.i
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right = word.right_edge.i + 1
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# leave prepositions and punctuation out of the left side of the chunk
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if word.left_edge.pos_ == "ADP" or word.left_edge.pos_ == "PUNCT":
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left = word.left_edge.i + 1
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prev_end = word.right_edge.i
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# leave subordinated clauses and appositions out of the chunk
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a = word.i + 1
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while a < word.right_edge.i:
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paraula = doc[a]
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if paraula.pos_ == "VERB":
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right = paraula.left_edge.i
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prev_end = paraula.left_edge.i - 1
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elif paraula.dep_ == "appos":
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right = paraula.left_edge.i + 1
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prev_end = paraula.left_edge.i - 1
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a += 1
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# leave punctuation out of the right side of the chunk
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if word.right_edge.pos_ == "PUNCT":
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right = right - 1
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yield left, right, np_label
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SYNTAX_ITERATORS = {"noun_chunks": noun_chunks}
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