Inconsistent parse result for sentences with double quotes between models

[mehmetilker]

Large model (en_core_web_lg) parse result gave me quote as "prep" but small model as "punct". (which is right I think.)

Sentence exampe : "Throughout our first week of basic training..."

en_core_web_sm
" punct Throughout
Throughout ROOT Throughout
....

en_core_web_lg
" punct .
Throughout -- prep -- "

I have just found another case for a sentence contains number, different parse result between small model and large.
In the sentence "You know, I can get that for $1 across the street."
With small model I can get "get-prep-across" dependency.
But with large model I got "1 - prep - across".

Another one: One of our own's on the inside.
small model > One - prep - on
Large model > on - prep - 's

In all cases small model wins. If it were opposite, it would be expected but this is wrong if I did not misunderstand the situation.

Your Environment

• spaCy version: 2.0.5
• Platform: Windows-10-10.0.16299-SP0
• Python version: 3.6.3
• Models: en, en_core_web_lg

[ines]

Merging this with #3052. We've now added a master thread for incorrect predictions and related reports – see the issue for more details.

[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.