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240 lines
5.5 KiB
Plaintext
240 lines
5.5 KiB
Plaintext
//- 💫 DOCS > API > LEXEME
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include ../../_includes/_mixins
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p An entry in the vocabulary.
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+h(2, "attributes") Attributes
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+table(["Name", "Type", "Description"])
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+row
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+cell #[code vocab]
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+cell #[code Vocab]
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+cell
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+row
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+cell #[code lower]
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+cell int
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+cell Lower-case form of the word.
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+row
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+cell #[code lower_]
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+cell unicode
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+cell Lower-case form of the word.
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+row
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+cell #[code shape]
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+cell int
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+cell Transform of the word's string, to show orthographic features.
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+row
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+cell #[code shape_]
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+cell unicode
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+cell Transform of the word's string, to show orthographic features.
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+row
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+cell #[code prefix]
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+cell int
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+cell Length-N substring from the start of the word. Defaults to #[code N=1].
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+row
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+cell #[code prefix_]
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+cell unicode
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+cell Length-N substring from the start of the word. Defaults to #[code N=1].
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+row
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+cell #[code suffix]
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+cell int
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+cell Length-N substring from the end of the word. Defaults to #[code N=3].
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+row
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+cell #[code suffix_]
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+cell unicode
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+cell Length-N substring from the start of the word. Defaults to #[code N=3].
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+row
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+cell #[code is_alpha]
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+cell bool
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+cell Equivalent to #[code word.orth_.isalpha()].
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+row
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+cell #[code is_ascii]
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+cell bool
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+cell Equivalent to #[code [any(ord(c) >= 128 for c in word.orth_)]].
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+row
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+cell #[code is_digit]
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+cell bool
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+cell Equivalent to #[code word.orth_.isdigit()].
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+row
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+cell #[code is_lower]
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+cell bool
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+cell Equivalent to #[code word.orth_.islower()].
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+row
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+cell #[code is_title]
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+cell bool
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+cell Equivalent to #[code word.orth_.istitle()].
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+row
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+cell #[code is_punct]
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+cell bool
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+cell Equivalent to #[code word.orth_.ispunct()].
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+row
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+cell #[code is_space]
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+cell bool
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+cell Equivalent to #[code word.orth_.isspace()].
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+row
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+cell #[code like_url]
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+cell bool
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+cell Does the word resemble a URL?
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+row
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+cell #[code like_num]
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+cell bool
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+cell Does the word represent a number? e.g. “10.9”, “10”, “ten”, etc.
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+row
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+cell #[code like_email]
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+cell bool
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+cell Does the word resemble an email address?
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+row
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+cell #[code is_oov]
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+cell bool
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+cell Is the word out-of-vocabulary?
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+row
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+cell #[code is_stop]
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+cell bool
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+cell Is the word part of a "stop list"?
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+row
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+cell #[code lang]
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+cell int
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+cell Language of the parent vocabulary.
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+row
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+cell #[code lang_]
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+cell unicode
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+cell Language of the parent vocabulary.
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+row
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+cell #[code prob]
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+cell float
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+cell Smoothed log probability estimate of token's type.
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+row
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+cell #[code sentiment]
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+cell float
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+cell A scalar value indicating the positivity or negativity of the token.
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+row
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+cell #[code lex_id]
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+cell int
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+cell ID of the token's lexical type.
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+row
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+cell #[code text]
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+cell unicode
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+cell Verbatim text content.
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+h(2, "init") Lexeme.__init__
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+tag method
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p Create a #[code Lexeme] object.
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+table(["Name", "Type", "Description"])
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+row
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+cell #[code vocab]
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+cell #[code Vocab]
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+cell The parent vocabulary.
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+row
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+cell #[code orth]
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+cell int
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+cell The orth id of the lexeme.
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+footrow
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+cell return
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+cell #[code Lexeme]
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+cell The newly constructed object.
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+h(2, "set_flag") Lexeme.set_flag
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+tag method
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p Change the value of a boolean flag.
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+table(["Name", "Type", "Description"])
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+row
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+cell #[code flag_id]
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+cell int
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+cell The attribute ID of the flag to set.
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+row
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+cell #[code value]
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+cell bool
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+cell The new value of the flag.
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+footrow
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+cell return
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+cell #[code None]
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+cell -
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+h(2, "check_flag") Lexeme.check_flag
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+tag method
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p Check the value of a boolean flag.
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+table(["Name", "Type", "Description"])
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+row
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+cell #[code flag_id]
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+cell int
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+cell The attribute ID of the flag to query.
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+footrow
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+cell return
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+cell bool
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+cell The value of the flag.
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+h(2, "similarity") Lexeme.similarity
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+tag method
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p Compute a semantic similarity estimate. Defaults to cosine over vectors.
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+table(["Name", "Type", "Description"])
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+row
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+cell #[code other]
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+cell -
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+cell
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| The object to compare with. By default, accepts #[code Doc],
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| #[code Span], #[code Token] and #[code Lexeme] objects.
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+footrow
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+cell return
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+cell float
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+cell A scalar similarity score. Higher is more similar.
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+h(2, "vector") Lexeme.vector
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+tag property
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p A real-valued meaning representation.
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+table(["Name", "Type", "Description"])
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+footrow
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+cell return
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+cell #[code numpy.ndarray[ndim=1, dtype='float32']]
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+cell A real-valued meaning representation.
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+h(2, "has_vector") Lexeme.has_vector
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+tag property
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p A boolean value indicating whether a word vector is associated with the object.
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+table(["Name", "Type", "Description"])
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+footrow
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+cell return
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+cell bool
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+cell Whether a word vector is associated with the object.
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