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Update docs [ci skip]
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Ines Montani
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@ -245,6 +245,8 @@ Also see the usage guides on the
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| Name | Description |
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| -------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `after_init` | Optional callback to modify the `nlp` object after initialization. ~~Optional[Callable[[Language], Language]]~~ |
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| `before_init` | Optional callback to modify the `nlp` object before initialization. ~~Optional[Callable[[Language], Language]]~~ |
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| `components` | Additional arguments passed to the `initialize` method of a pipeline component, keyed by component name. If type annotations are available on the method, the config will be validated against them. The `initialize` methods will always receive the `get_examples` callback and the current `nlp` object. ~~Dict[str, Dict[str, Any]]~~ |
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| `init_tok2vec` | Optional path to pretrained tok2vec weights created with [`spacy pretrain`](/api/cli#pretrain). Defaults to variable `${paths.init_tok2vec}`. ~~Optional[str]~~ |
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| `lookups` | Additional lexeme and vocab data from [`spacy-lookups-data`](https://github.com/explosion/spacy-lookups-data). Defaults to `null`. ~~Optional[Lookups]~~ |
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@ -33,7 +33,9 @@ spaCy currently provides support for the following languages. You can help by
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improving the existing [language data](/usage/linguistic-features#language-data)
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and extending the tokenization patterns.
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[See here](https://github.com/explosion/spaCy/issues/3056) for details on how to
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contribute to development.
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contribute to development. Also see the
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[training documentation](/usage/training) for how to train your own pipelines on
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your data.
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> #### Usage note
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>
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@ -281,6 +283,9 @@ $ python -m spacy download en_core_web_sm
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# Download exact package version
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$ python -m spacy download en_core_web_sm-3.0.0 --direct
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# Download binary wheel (can be more efficient)
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$ python -m spacy download en_core_web_sm --wheel
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```
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The download command will [install the package](/usage/models#download-pip) via
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@ -433,8 +438,8 @@ URLs.
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```text
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### requirements.txt
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spacy>=2.2.0,<3.0.0
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https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.2.0/en_core_web_sm-2.2.0.tar.gz#egg=en_core_web_sm
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spacy>=3.0.0,<4.0.0
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https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.0.0/en_core_web_sm-3.0.0.tar.gz#egg=en_core_web_sm
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```
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Specifying `#egg=` with the package name tells pip which package to expect from
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@ -456,6 +456,7 @@ The following methods, attributes and commands are new in spaCy v3.0.
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| ------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
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| [`Token.lex`](/api/token#attributes) | Access a token's [`Lexeme`](/api/lexeme). |
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| [`Token.morph`](/api/token#attributes) | Access a token's morphological analysis. |
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| [`Doc.spans`](/api/doc#spans) | Named span groups to store and access collections of potentially overlapping spans. Uses the new [`SpanGroup`](/api/spangroup) data structure. |
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| [`Doc.has_annotation`](/api/doc#has_annotation) | Check whether a doc has annotation on a token attribute. |
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| [`Language.select_pipes`](/api/language#select_pipes) | Context manager for enabling or disabling specific pipeline components for a block. |
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| [`Language.disable_pipe`](/api/language#disable_pipe), [`Language.enable_pipe`](/api/language#enable_pipe) | Disable or enable a loaded pipeline component (but don't remove it). |
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@ -584,8 +585,8 @@ Note that spaCy v3.0 now requires **Python 3.6+**.
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rule-based lemmas. You can now add it to your pipeline explicitly and set its
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mode on initialization.
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- Various keyword arguments across functions and methods are now explicitly
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declared as _keyword-only_ arguments. Those arguments are documented
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accordingly across the API reference.
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declared as **keyword-only** arguments. Those arguments are documented
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accordingly across the API reference using the <Tag>keyword-only</Tag> tag.
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### Removed or renamed API {#incompat-removed}
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@ -121,7 +121,6 @@ function parseArgs(raw) {
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}
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function convertLine(line, i) {
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console.log(line, i)
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const cliRegex = /^(\$ )?python -m spacy/
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if (cliRegex.test(line)) {
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const text = line.replace(cliRegex, '')
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@ -27,18 +27,22 @@ const NavigationDropdown = ({ items = [], section }) => {
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}
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export default function Navigation({ title, items = [], section, search, alert, children }) {
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const logo = (
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<Link to="/" aria-label={title} hidden>
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<h1 className={classes.title}>{title}</h1>
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<Logo className={classes.logo} width={300} height={96} />
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</Link>
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)
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return (
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<nav className={classes.root}>
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<Link
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to="/"
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aria-label={title}
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hidden
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className={classNames({ [classes.hasAlert]: !!alert })}
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>
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<h1 className={classes.title}>{title}</h1>
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<Logo className={classes.logo} width={300} height={96} />
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{alert && <span className={classes.alert}>{alert}</span>}
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</Link>
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{!alert ? (
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logo
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) : (
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<span className={classes.hasAlert}>
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{logo} <span className={classes.alert}>{alert}</span>
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</span>
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)}
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<div className={classes.menu}>
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<NavigationDropdown items={items} section={section} />
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@ -51,16 +51,25 @@ const data = [
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id: 'config',
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title: 'Options',
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multiple: true,
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options: [{ id: 'example', title: 'Show text example' }],
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options: [
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{
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id: 'wheel',
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title: 'Download binary wheel',
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help: 'Can make download and installation more efficient',
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},
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{ id: 'example', title: 'Show text example' },
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],
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},
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]
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const QuickstartInstall = ({ id, title, description, children }) => {
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const [lang, setLang] = useState(DEFAULT_LANG)
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const [wheel, setWheel] = useState(false)
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const [efficiency, setEfficiency] = useState(DEFAULT_OPT === 'efficiency')
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const setters = {
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lang: setLang,
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optimize: v => setEfficiency(v.includes('efficiency')),
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config: v => setWheel(v.includes('wheel')),
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}
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return (
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<StaticQuery
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@ -87,7 +96,10 @@ const QuickstartInstall = ({ id, title, description, children }) => {
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const exampleText = example || 'No text available yet'
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return lang !== code ? null : (
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<Fragment key={code}>
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<QS>python -m spacy download {pkg}</QS>
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<QS>
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python -m spacy download {pkg}
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{wheel ? ' --wheel' : ''}
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</QS>
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<QS divider />
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<QS load="spacy" prompt="python">
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import spacy
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