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fix small typos (#6698)

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Sofie Van Landeghem 2021-01-08 09:39:47 +01:00 committed by GitHub
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2 changed files with 3 additions and 3 deletions
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4
website/docs/usage/layers-architectures.md
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@ -716,7 +716,7 @@ that we want to classify as being related or not. As these candidate pairs are
typically formed within one document, this function takes a [`Doc`](/api/doc) as
input and outputs a `List` of `Span` tuples. For instance, the following
implementation takes any two entities from the same document, as long as they
are within a **maximum distance** (in number of tokens) of eachother:
are within a **maximum distance** (in number of tokens) of each other:
> #### config.cfg (excerpt)
>
@ -742,7 +742,7 @@ def create_instances(max_length: int) -> Callable[[Doc], List[Tuple[Span, Span]]
return get_candidates
```
This function in added to the [`@misc` registry](/api/top-level#registry) so we
This function is added to the [`@misc` registry](/api/top-level#registry) so we
can refer to it from the config, and easily swap it out for any other candidate
generation function.

2
website/docs/usage/training.md
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@ -1060,7 +1060,7 @@ In this example we assume a custom function `read_custom_data` which loads or
generates texts with relevant text classification annotations. Then, small
lexical variations of the input text are created before generating the final
[`Example`](/api/example) objects. The `@spacy.registry.readers` decorator lets
you register the function creating the custom reader in the `readers`
you register the function creating the custom reader in the `readers`
[registry](/api/top-level#registry) and assign it a string name, so it can be
used in your config. All arguments on the registered function become available
as **config settings** – in this case, `source`.