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Update docs [ci skip]

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Ines Montani 2020-07-04 16:47:24 +02:00
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22
website/docs/api/top-level.md
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@ -611,28 +611,6 @@ detecting the IPython kernel. Mainly used for the
| ----------- | ---- | ------------------------------------- | | ----------- | ---- | ------------------------------------- |
| **RETURNS** | bool | `True` if in Jupyter, `False` if not. | | **RETURNS** | bool | `True` if in Jupyter, `False` if not. |
### util.update_exc {#util.update_exc tag="function"}
Update, validate and overwrite
[tokenizer exceptions](/usage/adding-languages#tokenizer-exceptions). Used to
combine global exceptions with custom, language-specific exceptions. Will raise
an error if key doesn't match `ORTH` values.
> #### Example
>
> ```python
> BASE = {"a.": [{ORTH: "a."}], ":)": [{ORTH: ":)"}]}
> NEW = {"a.": [{ORTH: "a.", NORM: "all"}]}
> exceptions = util.update_exc(BASE, NEW)
> # {"a.": [{ORTH: "a.", NORM: "all"}], ":)": [{ORTH: ":)"}]}
> ```
| Name | Type | Description |
| ----------------- | ----- | --------------------------------------------------------------- |
| `base_exceptions` | dict | Base tokenizer exceptions. |
| `*addition_dicts` | dicts | Exception dictionaries to add to the base exceptions, in order. |
| **RETURNS** | dict | Combined tokenizer exceptions. |
### util.compile_prefix_regex {#util.compile_prefix_regex tag="function"} ### util.compile_prefix_regex {#util.compile_prefix_regex tag="function"}
Compile a sequence of prefix rules into a regex object. Compile a sequence of prefix rules into a regex object.

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website/docs/usage/index.md
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@ -29,8 +29,7 @@ import QuickstartInstall from 'widgets/quickstart-install.js'
### pip {#pip} ### pip {#pip}
Using pip, spaCy releases are available as source packages and binary wheels (as Using pip, spaCy releases are available as source packages and binary wheels.
of v2.0.13).
```bash ```bash
$ pip install -U spacy $ pip install -U spacy
@ -50,8 +49,8 @@ $ pip install -U spacy
<Infobox variant="warning"> <Infobox variant="warning">
To install additional data tables for lemmatization in **spaCy v2.2+** you can To install additional data tables for lemmatization you can run
run `pip install spacy[lookups]` or install `pip install spacy[lookups]` or install
[`spacy-lookups-data`](https://github.com/explosion/spacy-lookups-data) [`spacy-lookups-data`](https://github.com/explosion/spacy-lookups-data)
separately. The lookups package is needed to create blank models with separately. The lookups package is needed to create blank models with
lemmatization data, and to lemmatize in languages that don't yet come with lemmatization data, and to lemmatize in languages that don't yet come with

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website/docs/usage/linguistic-features.md
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@ -1353,6 +1353,8 @@ print("After:", [(token.text, token._.is_musician) for token in doc])
## Sentence Segmentation {#sbd} ## Sentence Segmentation {#sbd}
<!-- TODO: include senter -->
A [`Doc`](/api/doc) object's sentences are available via the `Doc.sents` A [`Doc`](/api/doc) object's sentences are available via the `Doc.sents`
property. Unlike other libraries, spaCy uses the dependency parse to determine property. Unlike other libraries, spaCy uses the dependency parse to determine
sentence boundaries. This is usually more accurate than a rule-based approach, sentence boundaries. This is usually more accurate than a rule-based approach,