spaCy/website/docs/api/span.jade

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//- 💫 DOCS > API > SPAN
include ../../_includes/_mixins
p A slice from a #[+api("doc") #[code Doc]] object.
+h(2, "init") Span.__init__
+tag method
p Create a Span object from the #[code slice doc[start : end]].
+aside-code("Example").
doc = nlp(u'Give it back! He pleaded.')
span = doc[1:4]
print([token.text for token in span])
# ['it', 'back', '!']
+table(["Name", "Type", "Description"])
+row
+cell #[code doc]
+cell #[code Doc]
+cell The parent document.
+row
+cell #[code start]
+cell int
+cell The index of the first token of the span.
+row
+cell #[code end]
+cell int
+cell The index of the first token after the span.
+row
+cell #[code label]
+cell int
+cell A label to attach to the span, e.g. for named entities.
+row
+cell #[code vector]
+cell #[code numpy.ndarray[ndim=1, dtype='float32']]
+cell A meaning representation of the span.
+footrow
+cell returns
+cell #[code Span]
+cell The newly constructed object.
+h(2, "getitem") Span.__getitem__
+tag method
p Get a #[code Token] object.
+aside-code("Example").
doc = nlp(u'Give it back! He pleaded.')
span = doc[1:4]
assert span[1].text == 'back'
+table(["Name", "Type", "Description"])
+row
+cell #[code i]
+cell int
+cell The index of the token within the span.
+footrow
+cell returns
+cell #[code Token]
+cell The token at #[code span[i]].
p Get a #[code Span] object.
+aside-code("Example").
doc = nlp(u'Give it back! He pleaded.')
span = doc[1:4]
assert span[1:3].text == 'back!'
+table(["Name", "Type", "Description"])
+row
+cell #[code start_end]
+cell tuple
+cell The slice of the span to get.
+footrow
+cell returns
+cell #[code Span]
+cell The span at #[code span[start : end]].
+h(2, "iter") Span.__iter__
+tag method
p Iterate over #[code Token] objects.
+aside-code("Example").
doc = nlp(u'Give it back! He pleaded.')
span = doc[1:4]
print([token.text for token in span])
# ['it', 'back', '!']
+table(["Name", "Type", "Description"])
+footrow
+cell yields
+cell #[code Token]
+cell A #[code Token] object.
+h(2, "len") Span.__len__
+tag method
p Get the number of tokens in the span.
+aside-code("Example").
doc = nlp(u'Give it back! He pleaded.')
span = doc[1:4]
assert len(span) == 3
+table(["Name", "Type", "Description"])
+footrow
+cell returns
+cell int
+cell The number of tokens in the span.
+h(2, "similarity") Span.similarity
+tag method
+tag requires model
p
| Make a semantic similarity estimate. The default estimate is cosine
| similarity using an average of word vectors.
+aside-code("Example").
doc = nlp(u'apples and oranges')
apples = doc[0]
oranges = doc[1]
apples_oranges = apples.similarity(oranges)
oranges_apples = oranges.similarity(apples)
assert apples_oranges == oranges_apples
+table(["Name", "Type", "Description"])
+row
+cell #[code other]
+cell -
+cell
| The object to compare with. By default, accepts #[code Doc],
| #[code Span], #[code Token] and #[code Lexeme] objects.
+footrow
+cell returns
+cell float
+cell A scalar similarity score. Higher is more similar.
+h(2, "merge") Span.merge
+tag method
p Retokenize the document, such that the span is merged into a single token.
+table(["Name", "Type", "Description"])
+row
+cell #[code **attributes]
+cell -
+cell
| Attributes to assign to the merged token. By default, attributes
| are inherited from the syntactic root token of the span.
+footrow
+cell returns
+cell #[code Token]
+cell The newly merged token.
+h(2, "text") Span.text
+tag property
+aside-code("Example").
doc = nlp('Give it back! He pleaded.')
assert doc[1:4].text == 'it back!'
p A unicode representation of the span text.
+table(["Name", "Type", "Description"])
+footrow
+cell returns
+cell unicode
+cell The original verbatim text of the span.
+h(2, "text_with_ws") Span.text_with_ws
+tag property
+aside-code("Example").
doc = nlp('Give it back! He pleaded.')
assert doc[1:4].text_with_ws == 'it back! '
p
| The text content of the span with a trailing whitespace character if the
| last token has one.
+table(["Name", "Type", "Description"])
+footrow
+cell returns
+cell unicode
+cell The text content of the span (with trailing whitespace).
+h(2, "sent") Span.sent
+tag property
p The sentence span that this span is a part of.
+table(["Name", "Type", "Description"])
+footrow
+cell returns
+cell #[code Span]
+cell The sentence this is part of.
+h(2, "root") Span.root
+tag property
p
| The token within the span that's highest in the parse tree. If there's a
| tie, the earlist is prefered.
+aside-code("Example").
tokens = nlp(u'I like New York in Autumn.')
i, like, new, york, in_, autumn, dot = range(len(tokens))
assert tokens[new].head.text == 'York'
assert tokens[york].head.text == 'like'
new_york = tokens[new:york+1]
assert new_york.root.text == 'York'
+table(["Name", "Type", "Description"])
+footrow
+cell returns
+cell #[code Token]
+cell The root token.
+h(2, "lefts") Span.lefts
+tag property
p Tokens that are to the left of the span, whose head is within the span.
+table(["Name", "Type", "Description"])
+footrow
+cell yields
+cell #[code Token]
+cell A left-child of a token of the span.
+h(2, "rights") Span.rights
+tag property
p Tokens that are to the right of the span, whose head is within the span.
+table(["Name", "Type", "Description"])
+footrow
+cell yields
+cell #[code Token]
+cell A right-child of a token of the span.
+h(2, "subtree") Span.subtree
+tag property
p Tokens that descend from tokens in the span, but fall outside it.
+table(["Name", "Type", "Description"])
+footrow
+cell yields
+cell #[code Token]
+cell A descendant of a token within the span.
+h(2, "attributes") Attributes
+table(["Name", "Type", "Description"])
+row
+cell #[code doc]
+cell #[code Doc]
+cell The parent document.
+row
+cell #[code start]
+cell int
+cell The token offset for the start of the span.
+row
+cell #[code end]
+cell int
+cell The token offset for the end of the span.
+row
+cell #[code start_char]
+cell int
+cell The character offset for the start of the span.
+row
+cell #[code end_char]
+cell int
+cell The character offset for the end of the span.
+row
+cell #[code label]
+cell int
+cell The span's label.
+row
+cell #[code label_]
+cell unicode
+cell The span's label.
+row
+cell #[code lemma_]
+cell unicode
+cell The span's lemma.
+row
+cell #[code ent_id]
+cell int
+cell The integer ID of the named entity the token is an instance of.
+row
+cell #[code ent_id_]
+cell unicode
+cell The string ID of the named entity the token is an instance of.