Second noun chunk contains first one.

[D1Doris]

For one sentence, the chunker returns a strange noun chunk:

import spacy
nlp = spacy.load('en')
doc = nlp(unicode('Does flight number three fifty-four require a connecting flight to get to Boston?'))
for np in doc.noun_chunks:
... print np
...
flight number
Does flight number three fifty-four require
a connecting flight
Boston
exit()

"Does flight number three fifty-four require" shouldn't be there.

My Environment:

• Python version: 2.7.6
• Platform: Linux-3.4.0+-x86_64-with-Ubuntu-14.04-trusty
• spaCy version: 1.7.5
• Installed models: en

Out of the 3000 sentences I've parsed, about 130 experience this problem.

[honnibal]

Thanks, this is a regression introduced in a recent patch. Will be fixed in next release.

[lock]

This thread has been automatically locked since there has not been any recent activity after it was closed. Please open a new issue for related bugs.