scikit

English
Available statistical models for en (English).

Language
en
English
Type
core
Vocabulary, syntax, entities, vectors
Genre
web
written text (blogs, news, comments)
Size
sm
n/a
Pipeline Processing pipeline components in order
Vectors Word vectors
Sources Sources of training data
{{ source }}
Author
{{ model.author }}
License
{{ license }}{{ license }}
Compat Latest compatible model version for your spaCy installation
not compatible
Syntax accuracy
UAS Unlabelled dependencies
n/a
LAS Labelled dependencies
n/a
POS Part-of-speech tags (fine grained tags, Token.tag)
n/a
NER accuracy
NER F Entities (F-score)
n/a
NER P Entities (precision)
n/a
NER R Entities (recall)
n/a

Test the model live (experimental)
v2.0.11 · Python 3 · via Binder
import spacy
from spacy.lang.en.examples import sentences

nlp = spacy.load('en_core_web_sm')
doc = nlp(sentences[0])
print(doc.text)
for token in doc:
    print(token.text, token.pos_, token.dep_)

Language
en
English
Type
core
Vocabulary, syntax, entities, vectors
Genre
web
written text (blogs, news, comments)
Size
md
n/a
Pipeline Processing pipeline components in order
Vectors Word vectors
Sources Sources of training data
{{ source }}
Author
{{ model.author }}
License
{{ license }}{{ license }}
Compat Latest compatible model version for your spaCy installation
not compatible
Syntax accuracy
UAS Unlabelled dependencies
n/a
LAS Labelled dependencies
n/a
POS Part-of-speech tags (fine grained tags, Token.tag)
n/a
NER accuracy
NER F Entities (F-score)
n/a
NER P Entities (precision)
n/a
NER R Entities (recall)
n/a

Language
en
English
Type
core
Vocabulary, syntax, entities, vectors
Genre
web
written text (blogs, news, comments)
Size
lg
n/a
Pipeline Processing pipeline components in order
Vectors Word vectors
Sources Sources of training data
{{ source }}
Author
{{ model.author }}
License
{{ license }}{{ license }}
Compat Latest compatible model version for your spaCy installation
not compatible
Syntax accuracy
UAS Unlabelled dependencies
n/a
LAS Labelled dependencies
n/a
POS Part-of-speech tags (fine grained tags, Token.tag)
n/a
NER accuracy
NER F Entities (F-score)
n/a
NER P Entities (precision)
n/a
NER R Entities (recall)
n/a

Language
en
English
Type
vectors
Word vectors
Genre
web
written text (blogs, news, comments)
Size
lg
n/a
Pipeline Processing pipeline components in order
Vectors Word vectors
Sources Sources of training data
{{ source }}
Author
{{ model.author }}
License
{{ license }}{{ license }}
Compat Latest compatible model version for your spaCy installation
not compatible
Syntax accuracy
UAS Unlabelled dependencies
n/a
LAS Labelled dependencies
n/a
POS Part-of-speech tags (fine grained tags, Token.tag)
n/a
NER accuracy
NER F Entities (F-score)
n/a
NER P Entities (precision)
n/a
NER R Entities (recall)
n/a