Spacy: Problems with Lexeme

[TropComplique]

Hi! The following doesn't work:

import spacy
nlp = spacy.load('en')
print(max(lex.lex_id for lex in nlp.vocab) + 1)
print([lex.text for lex in nlp.vocab if not lex.has_vector])

It gives errors like:

AttributeError: 'spacy.lexeme.Lexeme' object has no attribute 'lex_id'
AttributeError: 'spacy.lexeme.Lexeme' object has no attribute 'text'

But Lexeme should have attributes text and lex_id according to the documentation.

My Environment

spacy.info()

Info about spaCy

    spaCy version      1.8.2          
    Location           /home/dan/miniconda/envs/py36/lib/python3.6/site-packages/spacy
    Platform           Linux-4.8.0-49-generic-x86_64-with-debian-stretch-sid
    Python version     3.6.0          
    Installed models    en, en_core_web_md

[honnibal]

Thanks. Workaround for now:

• Instead of lex.text you can use lex.orth_
• Instead of lex.lex_id you can use lex.rank

[lock[bot]]

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