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fix 's typo's across code base (#8384)
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Sofie Van Landeghem
GitHub
parent
507422149f
commit
0fd0d949c4
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@ -163,7 +163,7 @@ cdef class Lexeme:
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self.vocab.set_vector(self.c.orth, vector)
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property rank:
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"""RETURNS (str): Sequential ID of the lexemes's lexical type, used
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"""RETURNS (str): Sequential ID of the lexeme's lexical type, used
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to index into tables, e.g. for word vectors."""
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def __get__(self):
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return self.c.id
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@ -205,7 +205,7 @@ cdef class Lexeme:
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self.c.lower = x
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property norm:
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"""RETURNS (uint64): The lexemes's norm, i.e. a normalised form of the
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"""RETURNS (uint64): The lexeme's norm, i.e. a normalised form of the
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lexeme text.
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"""
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def __get__(self):
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@ -288,7 +288,7 @@ cdef class Lexeme:
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self.c.lower = self.vocab.strings.add(x)
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property norm_:
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"""RETURNS (str): The lexemes's norm, i.e. a normalised form of the
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"""RETURNS (str): The lexeme's norm, i.e. a normalised form of the
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lexeme text.
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"""
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def __get__(self):
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@ -329,7 +329,7 @@ cdef class Token:
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@property
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def shape(self):
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"""RETURNS (uint64): ID of the token's shape, a transform of the
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tokens's string, to show orthographic features (e.g. "Xxxx", "dd").
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token's string, to show orthographic features (e.g. "Xxxx", "dd").
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"""
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return self.c.lex.shape
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@ -825,7 +825,7 @@ cdef class Token:
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@property
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def shape_(self):
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"""RETURNS (str): Transform of the tokens's string, to show
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"""RETURNS (str): Transform of the token's string, to show
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orthographic features. For example, "Xxxx" or "dd".
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"""
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return self.vocab.strings[self.c.lex.shape]
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@ -127,14 +127,14 @@ The L2 norm of the lexeme's vector representation.
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| `text` | Verbatim text content. ~~str~~ |
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| `orth` | ID of the verbatim text content. ~~int~~ |
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| `orth_` | Verbatim text content (identical to `Lexeme.text`). Exists mostly for consistency with the other attributes. ~~str~~ |
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| `rank` | Sequential ID of the lexemes's lexical type, used to index into tables, e.g. for word vectors. ~~int~~ |
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| `rank` | Sequential ID of the lexeme's lexical type, used to index into tables, e.g. for word vectors. ~~int~~ |
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| `flags` | Container of the lexeme's binary flags. ~~int~~ |
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| `norm` | The lexemes's norm, i.e. a normalized form of the lexeme text. ~~int~~ |
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| `norm_` | The lexemes's norm, i.e. a normalized form of the lexeme text. ~~str~~ |
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| `norm` | The lexeme's norm, i.e. a normalized form of the lexeme text. ~~int~~ |
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| `norm_` | The lexeme's norm, i.e. a normalized form of the lexeme text. ~~str~~ |
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| `lower` | Lowercase form of the word. ~~int~~ |
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| `lower_` | Lowercase form of the word. ~~str~~ |
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| `shape` | Transform of the words's string, to show orthographic features. Alphabetic characters are replaced by `x` or `X`, and numeric characters are replaced by `d`, and sequences of the same character are truncated after length 4. For example,`"Xxxx"`or`"dd"`. ~~int~~ |
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| `shape_` | Transform of the word's string, to show orthographic features. Alphabetic characters are replaced by `x` or `X`, and numeric characters are replaced by `d`, and sequences of the same character are truncated after length 4. For example,`"Xxxx"`or`"dd"`. ~~str~~ |
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| `shape` | Transform of the word's string, to show orthographic features. Alphabetic characters are replaced by `x` or `X`, and numeric characters are replaced by `d`, and sequences of the same character are truncated after length 4. For example,`"Xxxx"`or`"dd"`. ~~int~~ |
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| `shape_` | Transform of the word's string, to show orthographic features. Alphabetic characters are replaced by `x` or `X`, and numeric characters are replaced by `d`, and sequences of the same character are truncated after length 4. For example,`"Xxxx"`or`"dd"`. ~~str~~ |
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| `prefix` | Length-N substring from the start of the word. Defaults to `N=1`. ~~int~~ |
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| `prefix_` | Length-N substring from the start of the word. Defaults to `N=1`. ~~str~~ |
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| `suffix` | Length-N substring from the end of the word. Defaults to `N=3`. ~~int~~ |
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@ -431,7 +431,7 @@ The L2 norm of the token's vector representation.
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| `orth` | ID of the verbatim text content. ~~int~~ |
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| `orth_` | Verbatim text content (identical to `Token.text`). Exists mostly for consistency with the other attributes. ~~str~~ |
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| `vocab` | The vocab object of the parent `Doc`. ~~vocab~~ |
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| `tensor` <Tag variant="new">2.1.7</Tag> | The tokens's slice of the parent `Doc`'s tensor. ~~numpy.ndarray~~ |
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| `tensor` <Tag variant="new">2.1.7</Tag> | The token's slice of the parent `Doc`'s tensor. ~~numpy.ndarray~~ |
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| `head` | The syntactic parent, or "governor", of this token. ~~Token~~ |
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| `left_edge` | The leftmost token of this token's syntactic descendants. ~~Token~~ |
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| `right_edge` | The rightmost token of this token's syntactic descendants. ~~Token~~ |
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@ -450,8 +450,8 @@ The L2 norm of the token's vector representation.
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| `norm_` | The token's norm, i.e. a normalized form of the token text. Can be set in the language's [tokenizer exceptions](/usage/linguistic-features#language-data). ~~str~~ |
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| `lower` | Lowercase form of the token. ~~int~~ |
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| `lower_` | Lowercase form of the token text. Equivalent to `Token.text.lower()`. ~~str~~ |
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| `shape` | Transform of the tokens's string to show orthographic features. Alphabetic characters are replaced by `x` or `X`, and numeric characters are replaced by `d`, and sequences of the same character are truncated after length 4. For example,`"Xxxx"`or`"dd"`. ~~int~~ |
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| `shape_` | Transform of the tokens's string to show orthographic features. Alphabetic characters are replaced by `x` or `X`, and numeric characters are replaced by `d`, and sequences of the same character are truncated after length 4. For example,`"Xxxx"`or`"dd"`. ~~str~~ |
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| `shape` | Transform of the token's string to show orthographic features. Alphabetic characters are replaced by `x` or `X`, and numeric characters are replaced by `d`, and sequences of the same character are truncated after length 4. For example,`"Xxxx"`or`"dd"`. ~~int~~ |
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| `shape_` | Transform of the token's string to show orthographic features. Alphabetic characters are replaced by `x` or `X`, and numeric characters are replaced by `d`, and sequences of the same character are truncated after length 4. For example,`"Xxxx"`or`"dd"`. ~~str~~ |
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| `prefix` | Hash value of a length-N substring from the start of the token. Defaults to `N=1`. ~~int~~ |
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| `prefix_` | A length-N substring from the start of the token. Defaults to `N=1`. ~~str~~ |
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| `suffix` | Hash value of a length-N substring from the end of the token. Defaults to `N=3`. ~~int~~ |
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@ -382,7 +382,7 @@ doc = nlp("This is a sentence.")
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You can use the [`info`](/api/cli#info) command or
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[`spacy.info()`](/api/top-level#spacy.info) method to print a pipeline
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packages's meta data before loading it. Each `Language` object with a loaded
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package's meta data before loading it. Each `Language` object with a loaded
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pipeline also exposes the pipeline's meta data as the attribute `meta`. For
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example, `nlp.meta['version']` will return the package version.
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