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Fix typos and wording [ci skip]

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This commit is contained in:
Ines Montani 2020-09-03 16:37:45 +02:00
parent b5a0657fd6
commit 25a595dc10
2 changed files with 5 additions and 3 deletions
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6
website/docs/api/language.md
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@ -828,8 +828,10 @@ subclass of the built-in `dict`. It supports the additional methods `to_disk`
## Language.to_disk {#to_disk tag="method" new="2"}
Save the current state to a directory. If a trained pipeline is loaded, this
will **include all model data**.
Save the current state to a directory. Under the hood, this method delegates to
the `to_disk` methods of the individual pipeline components, if available. This
means that if a trained pipeline is loaded, all components and their weights
will be saved to disk.
> #### Example
>

2
website/docs/usage/linguistic-features.md
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@ -1222,7 +1222,7 @@ print(doc.text, [token.text for token in doc])
Keep in mind that your models' results may be less accurate if the tokenization
during training differs from the tokenization at runtime. So if you modify a
trained pipeline' tokenization afterwards, it may produce very different
trained pipeline's tokenization afterwards, it may produce very different
predictions. You should therefore train your pipeline with the **same
tokenizer** it will be using at runtime. See the docs on
[training with custom tokenization](#custom-tokenizer-training) for details.