spaCy/website/docs/api/attributes.md

title	teaser	source
Attributes	Token attributes	spacy/attrs.pyx

Token attributes are specified using internal IDs in many places including:

• Matcher patterns,
• Doc.to_array and Doc.from_array
• Doc.has_annotation
• MultiHashEmbed Tok2Vec architecture attrs

import spacy
from spacy.attrs import DEP

nlp = spacy.blank("en")
doc = nlp("There are many attributes.")

# DEP always has the same internal value
assert DEP == 76

# "DEP" is automatically converted to DEP
assert DEP == nlp.vocab.strings["DEP"]
assert doc.has_annotation(DEP) == doc.has_annotation("DEP")

# look up IDs in spacy.attrs.IDS
from spacy.attrs import IDS
assert IDS["DEP"] == DEP

All methods automatically convert between the string version of an ID ("DEP") and the internal integer symbols (DEP). The internal IDs can be imported from spacy.attrs or retrieved from the StringStore. A map from string attribute names to internal attribute IDs is stored in spacy.attrs.IDS.

The corresponding Token object attributes can be accessed using the same names in lowercase, e.g. token.orth or token.length. For attributes that represent string values, the internal integer ID is accessed as Token.attr, e.g. token.dep, while the string value can be retrieved by appending _ as in token.dep_.

Attribute	Description
DEP	The token's dependency label. str
ENT_ID	The token's entity ID (ent_id). str
ENT_IOB	The IOB part of the token's entity tag. Uses custom integer vaues rather than the string store: unset is 0, I is 1, O is 2, and B is 3. str
ENT_KB_ID	The token's entity knowledge base ID. str
ENT_TYPE	The token's entity label. str
IS_ALPHA	Token text consists of alphabetic characters. bool
IS_ASCII	Token text consists of ASCII characters. bool
IS_DIGIT	Token text consists of digits. bool
IS_LOWER	Token text is in lowercase. bool
IS_PUNCT	Token is punctuation. bool
IS_SPACE	Token is whitespace. bool
IS_STOP	Token is a stop word. bool
IS_TITLE	Token text is in titlecase. bool
IS_UPPER	Token text is in uppercase. bool
LEMMA	The token's lemma. str
LENGTH	The length of the token text. int
LIKE_EMAIL	Token text resembles an email address. bool
LIKE_NUM	Token text resembles a number. bool
LIKE_URL	Token text resembles a URL. bool
LOWER	The lowercase form of the token text. str
MORPH	The token's morphological analysis. MorphAnalysis
NORM	The normalized form of the token text. str
ORTH	The exact verbatim text of a token. str
POS	The token's universal part of speech (UPOS). str
SENT_START	Token is start of sentence. bool
SHAPE	The token's shape. str
SPACY	Token has a trailing space. bool
TAG	The token's fine-grained part of speech. str