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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. |
### 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"}
Compile a sequence of prefix rules into a regex object.

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

2
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}
<!-- TODO: include senter -->
A [`Doc`](/api/doc) object's sentences are available via the `Doc.sents`
property. Unlike other libraries, spaCy uses the dependency parse to determine
sentence boundaries. This is usually more accurate than a rule-based approach,