Document new Doc.char_span() method
@@ -140,6 +140,44 @@ p Get the number of tokens in the document.
+cell int
+cell The number of tokens in the document.
++h(2, "char_span") Doc.char_span
+ +tag method
+ +tag-new(2)
+
+p Create a #[code Span] object from the slice #[code doc.text[start : end]].
+
++aside-code("Example").
+ doc = nlp(u'I like New York')
+ label = doc.vocab.strings['GPE']
+ span = doc.char_span(7, 15, label=label)
+ assert span.text == 'New York'
+
++table(["Name", "Type", "Description"])
+ +row
+ +cell #[code start]
+ +cell int
+ +cell The index of the first character of the span.
+
+ +row
+ +cell #[code end]
+ +cell int
+ +cell The index of the first character after the span.
+
+ +row
+ +cell #[code label]
+ +cell uint64
+ +cell A label to attach to the Span, e.g. for named entities.
+
+ +row
+ +cell #[code vector]
+ +cell #[code.u-break 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, "similarity") Doc.similarity
+tag method
+tag-model("vectors")
