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Merge pull request #7207 from adrianeboyd/docs/get-noun-chunks [ci skip]
Extend docs related to Vocab.get_noun_chunks
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@ -61,6 +61,8 @@ cdef class Vocab:
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lookups (Lookups): Container for large lookup tables and dictionaries.
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oov_prob (float): Default OOV probability.
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vectors_name (unicode): Optional name to identify the vectors table.
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get_noun_chunks (Optional[Callable[[Union[Doc, Span], Iterator[Span]]]]):
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A function that yields base noun phrases used for Doc.noun_chunks.
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"""
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lex_attr_getters = lex_attr_getters if lex_attr_getters is not None else {}
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if lookups in (None, True, False):
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@ -616,8 +616,10 @@ phrase, or "NP chunk", is a noun phrase that does not permit other NPs to be
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nested within it – so no NP-level coordination, no prepositional phrases, and no
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relative clauses.
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If the `noun_chunk` [syntax iterator](/usage/adding-languages#language-data) has
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not been implemeted for the given language, a `NotImplementedError` is raised.
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To customize the noun chunk iterator in a loaded pipeline, modify
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[`nlp.vocab.get_noun_chunks`](/api/vocab#attributes). If the `noun_chunk`
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[syntax iterator](/usage/adding-languages#language-data) has not been
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implemented for the given language, a `NotImplementedError` is raised.
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> #### Example
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>
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@ -21,14 +21,14 @@ Create the vocabulary.
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> vocab = Vocab(strings=["hello", "world"])
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> ```
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| Name | Description |
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| ------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `lex_attr_getters` | A dictionary mapping attribute IDs to functions to compute them. Defaults to `None`. ~~Optional[Dict[str, Callable[[str], Any]]]~~ |
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| `strings` | A [`StringStore`](/api/stringstore) that maps strings to hash values, and vice versa, or a list of strings. ~~Union[List[str], StringStore]~~ |
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| `lookups` | A [`Lookups`](/api/lookups) that stores the `lexeme_norm` and other large lookup tables. Defaults to `None`. ~~Optional[Lookups]~~ |
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| `oov_prob` | The default OOV probability. Defaults to `-20.0`. ~~float~~ |
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| `vectors_name` <Tag variant="new">2.2</Tag> | A name to identify the vectors table. ~~str~~ |
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| `writing_system` | A dictionary describing the language's writing system. Typically provided by [`Language.Defaults`](/api/language#defaults). ~~Dict[str, Any]~~ |
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| Name | Description |
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| ------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------ |
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| `lex_attr_getters` | A dictionary mapping attribute IDs to functions to compute them. Defaults to `None`. ~~Optional[Dict[str, Callable[[str], Any]]]~~ |
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| `strings` | A [`StringStore`](/api/stringstore) that maps strings to hash values, and vice versa, or a list of strings. ~~Union[List[str], StringStore]~~ |
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| `lookups` | A [`Lookups`](/api/lookups) that stores the `lexeme_norm` and other large lookup tables. Defaults to `None`. ~~Optional[Lookups]~~ |
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| `oov_prob` | The default OOV probability. Defaults to `-20.0`. ~~float~~ |
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| `vectors_name` <Tag variant="new">2.2</Tag> | A name to identify the vectors table. ~~str~~ |
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| `writing_system` | A dictionary describing the language's writing system. Typically provided by [`Language.Defaults`](/api/language#defaults). ~~Dict[str, Any]~~ |
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| `get_noun_chunks` | A function that yields base noun phrases used for [`Doc.noun_chunks`](/ap/doc#noun_chunks). ~~Optional[Callable[[Union[Doc, Span], Iterator[Span]]]]~~ |
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## Vocab.\_\_len\_\_ {#len tag="method"}
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@ -182,14 +182,14 @@ subword features by average over n-grams of `orth` (introduced in spaCy `v2.1`).
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| Name | Description |
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| ----------------------------------- | ---------------------------------------------------------------------------------------------------------------------- |
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| `orth` | The hash value of a word, or its unicode string. ~~Union[int, str]~~ |
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| `minn` <Tag variant="new">2.1</Tag> | Minimum n-gram length used for FastText's n-gram computation. Defaults to the length of `orth`. ~~int~~ |
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| `maxn` <Tag variant="new">2.1</Tag> | Maximum n-gram length used for FastText's n-gram computation. Defaults to the length of `orth`. ~~int~~ |
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| `minn` <Tag variant="new">2.1</Tag> | Minimum n-gram length used for FastText's n-gram computation. Defaults to the length of `orth`. ~~int~~ |
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| `maxn` <Tag variant="new">2.1</Tag> | Maximum n-gram length used for FastText's n-gram computation. Defaults to the length of `orth`. ~~int~~ |
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| **RETURNS** | A word vector. Size and shape are determined by the `Vocab.vectors` instance. ~~numpy.ndarray[ndim=1, dtype=float32]~~ |
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## Vocab.set_vector {#set_vector tag="method" new="2"}
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Set a vector for a word in the vocabulary. Words can be referenced by string
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or hash value.
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Set a vector for a word in the vocabulary. Words can be referenced by string or
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hash value.
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> #### Example
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>
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@ -300,13 +300,14 @@ Load state from a binary string.
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> assert type(PERSON) == int
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> ```
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| Name | Description |
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| --------------------------------------------- | ------------------------------------------------------------------------------- |
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| `strings` | A table managing the string-to-int mapping. ~~StringStore~~ |
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| `vectors` <Tag variant="new">2</Tag> | A table associating word IDs to word vectors. ~~Vectors~~ |
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| `vectors_length` | Number of dimensions for each word vector. ~~int~~ |
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| `lookups` | The available lookup tables in this vocab. ~~Lookups~~ |
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| `writing_system` <Tag variant="new">2.1</Tag> | A dict with information about the language's writing system. ~~Dict[str, Any]~~ |
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| Name | Description |
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| ---------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------ |
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| `strings` | A table managing the string-to-int mapping. ~~StringStore~~ |
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| `vectors` <Tag variant="new">2</Tag> | A table associating word IDs to word vectors. ~~Vectors~~ |
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| `vectors_length` | Number of dimensions for each word vector. ~~int~~ |
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| `lookups` | The available lookup tables in this vocab. ~~Lookups~~ |
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| `writing_system` <Tag variant="new">2.1</Tag> | A dict with information about the language's writing system. ~~Dict[str, Any]~~ |
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| `get_noun_chunks` <Tag variant="new">3.0</Tag> | A function that yields base noun phrases used for [`Doc.noun_chunks`](/ap/doc#noun_chunks). ~~Optional[Callable[[Union[Doc, Span], Iterator[Span]]]]~~ |
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## Serialization fields {#serialization-fields}
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