Adds function to extract french noun chunks
@@ -110,5 +110,35 @@ def es_noun_chunks(obj):
token = next_token(token)
+def french_noun_chunks(obj):
+ labels = ['nsubj', 'nsubj:pass', 'obj', 'iobj', 'ROOT', 'appos', 'nmod', 'nmod:poss']
+ doc = obj.doc # Ensure works on both Doc and Span.
+ np_deps = [doc.vocab.strings[label] for label in labels]
+ conj = doc.vocab.strings.add('conj')
+ np_label = doc.vocab.strings.add('NP')
+ seen = set()
+ for i, word in enumerate(obj):
+ if word.pos not in (NOUN, PROPN, PRON):
+ continue
+ # Prevent nested chunks from being produced
+ if word.i in seen:
+ continue
+ if word.dep in np_deps:
+ if any(w.i in seen for w in word.subtree):
+ continue
+ seen.update(j for j in range(word.left_edge.i, word.right_edge.i+1))
+ yield word.left_edge.i, word.right_edge.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:
+ if any(w.i in seen for w in word.subtree):
+ continue
+ seen.update(j for j in range(word.left_edge.i, word.right_edge.i+1))
+ yield word.left_edge.i, word.right_edge.i+1, np_label
+
+
CHUNKERS = {'en': english_noun_chunks, 'de': german_noun_chunks,
- 'es': es_noun_chunks}
+ 'es': es_noun_chunks, 'fr': french_noun_chunks}
