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Fix formatting and wording

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ines 2018-05-07 21:24:35 +02:00
parent f803da609f
commit 14148cd147
11 changed files with 19 additions and 20 deletions
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2
website/README.md
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@ -27,8 +27,6 @@ The docs can always use another example or more detail, and they should always b
While all page content lives in the `.jade` files, article meta (page titles, sidebars etc.) is stored as JSON. Each folder contains a `_data.json` with all required meta for its files.
For simplicity, all sites linked in the [tutorials](https://spacy.io/docs/usage/tutorials) and [showcase](https://spacy.io/docs/usage/showcase) are also stored as JSON. So in order to edit those pages, there's no need to dig into the Jade files – simply edit the [`_data.json`](docs/usage/_data.json).
### Markup language and conventions
Jade/Pug is a whitespace-sensitive markup language that compiles to HTML. Indentation is used to nest elements, and for template logic, like `if`/`else` or `for`, mainly used to iterate over objects and arrays in the meta data. It also allows inline JavaScript expressions.

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website/usage/_adding-languages/_language-data.jade
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@ -4,7 +4,7 @@ p
| The individual components #[strong expose variables] that can be imported
| within a language module, and added to the language's #[code Defaults].
| Some components, like the punctuation rules, usually don't need much
| customisation and can simply be imported from the global rules. Others,
| customisation and can be imported from the global rules. Others,
| like the tokenizer and norm exceptions, are very specific and will make
| a big difference to spaCy's performance on the particular language and
| training a language model.

2
website/usage/_install/_troubleshooting.jade
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@ -39,7 +39,7 @@ p
| this. The above error mostly occurs when doing a system-wide installation,
| which will create the symlinks in a system directory. Run the
| #[code download] or #[code link] command as administrator (on Windows,
| simply right-click on your terminal or shell ans select "Run as
| you can either right-click on your terminal or shell ans select "Run as
| Administrator"), or use a #[code virtualenv] to install spaCy in a user
| directory, instead of doing a system-wide installation.

4
website/usage/_linguistic-features/_dependency-parse.jade
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@ -220,8 +220,8 @@ p
p
| The best way to understand spaCy's dependency parser is interactively.
| To make this easier, spaCy v2.0+ comes with a visualization module. Simply
| pass a #[code Doc] or a list of #[code Doc] objects to
| To make this easier, spaCy v2.0+ comes with a visualization module. You
| can pass a #[code Doc] or a list of #[code Doc] objects to
| displaCy and run #[+api("top-level#displacy.serve") #[code displacy.serve]] to
| run the web server, or #[+api("top-level#displacy.render") #[code displacy.render]]
| to generate the raw markup. If you want to know how to write rules that

2
website/usage/_linguistic-features/_named-entities.jade
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@ -195,7 +195,7 @@ p
| lets you explore an entity recognition model's behaviour interactively.
| If you're training a model, it's very useful to run the visualization
| yourself. To help you do that, spaCy v2.0+ comes with a visualization
| module. Simply pass a #[code Doc] or a list of #[code Doc] objects to
| module. You can pass a #[code Doc] or a list of #[code Doc] objects to
| displaCy and run #[+api("top-level#displacy.serve") #[code displacy.serve]] to
| run the web server, or #[+api("top-level#displacy.render") #[code displacy.render]]
| to generate the raw markup.

2
website/usage/_linguistic-features/_tokenization.jade
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@ -274,7 +274,7 @@ p
| In spaCy v1.x, you had to add a custom tokenizer by passing it to the
| #[code make_doc] keyword argument, or by passing a tokenizer "factory"
| to #[code create_make_doc]. This was unnecessarily complicated. Since
| spaCy v2.0, you can simply write to #[code nlp.tokenizer]. If your
| spaCy v2.0, you can write to #[code nlp.tokenizer] instead. If your
| tokenizer needs the vocab, you can write a function and use
| #[code nlp.vocab].

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website/usage/_models/_install.jade
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@ -19,15 +19,15 @@ include _install-basics
+h(3, "download-pip") Installation via pip
p
| To download a model directly using #[+a("https://pypi.python.org/pypi/pip") pip],
| simply point #[code pip install] to the URL or local path of the archive
| To download a model directly using #[+a("https://pypi.python.org/pypi/pip") pip],
| point #[code pip install] to the URL or local path of the archive
| file. To find the direct link to a model, head over to the
| #[+a(gh("spacy-models") + "/releases") model releases], right click on the archive
| link and copy it to your clipboard.
+code(false, "bash").
# with external URL
pip install #{gh("spacy-models")}/releases/download/en_core_web_md-1.2.0/en_core_web_md-1.2.0.tar.gz
pip install #{gh("spacy-models")}/releases/download/en_core_web_sm-2.0.0/en_core_web_sm-2.0.0.tar.gz
# with local file
pip install /Users/you/en_core_web_md-1.2.0.tar.gz
@ -69,7 +69,7 @@ p
p
| You can place the #[strong model package directory] anywhere on your
| local file system. To use it with spaCy, simply assign it a name by
| local file system. To use it with spaCy, assign it a name by
| creating a #[+a("#usage") shortcut link] for the data directory.
+h(3, "usage") Using models with spaCy

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website/usage/_models/_production.jade
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@ -26,7 +26,7 @@ p
p
| Because all models are valid Python packages, you can add them to your
| application's #[code requirements.txt]. If you're running your own
| internal PyPi installation, you can simply upload the models there. pip's
| internal PyPi installation, you can upload the models there. pip's
| #[+a("https://pip.pypa.io/en/latest/reference/pip_install/#requirements-file-format") requirements file format]
| supports both package names to download via a PyPi server, as well as direct
| URLs.

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website/usage/_spacy-101/_tokenization.jade
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@ -5,7 +5,7 @@ p
| segments it into words, punctuation and so on. This is done by applying
| rules specific to each language. For example, punctuation at the end of a
| sentence should be split off – whereas "U.K." should remain one token.
| Each #[code Doc] consists of individual tokens, and we can simply iterate
| Each #[code Doc] consists of individual tokens, and we can iterate
| over them:
+code-exec.

11
website/usage/_visualizers/_html.jade
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@ -72,10 +72,11 @@ p
| you want to visualize output from other libraries, like
| #[+a("http://www.nltk.org") NLTK] or
| #[+a("https://github.com/tensorflow/models/tree/master/research/syntaxnet") SyntaxNet].
| Simply convert the dependency parse or recognised entities to displaCy's
| format and set #[code manual=True] on either #[code render()] or
| #[code serve()]. When setting #[code ents] manually, make sure to supply
| them in the right order, i.e. starting with the lowest start position.
| If you set #[code manual=True] on either #[code render()] or
| #[code serve()], you can pass in data in displaCy's format (instead of
| #[code Doc] objects). When setting #[code ents] manually, make sure to
| supply them in the right order, i.e. starting with the lowest start
| position.
+aside-code("Example").
ex = [{'text': 'But Google is starting from behind.',
@ -109,7 +110,7 @@ p
| If you want to use the visualizers as part of a web application, for
| example to create something like our
| #[+a(DEMOS_URL + "/displacy") online demo], it's not recommended to
| simply wrap and serve the displaCy renderer. Instead, you should only
| only wrap and serve the displaCy renderer. Instead, you should only
| rely on the server to perform spaCy's processing capabilities, and use
| #[+a(gh("displacy")) displaCy.js] to render the JSON-formatted output.