Three small typos
Some little typos since v3.0 is out.
@@ -425,7 +425,7 @@ The following methods, attributes and commands are new in spaCy v3.0.
| [`Language.analyze_pipes`](/api/language#analyze_pipes) | [Analyze](/usage/processing-pipelines#analysis) components and their interdependencies. |
| [`Language.resume_training`](/api/language#resume_training) | Experimental: continue training a trained pipeline and initialize "rehearsal" for components that implement a `rehearse` method to prevent catastrophic forgetting. |
| [`@Language.factory`](/api/language#factory), [`@Language.component`](/api/language#component) | Decorators for [registering](/usage/processing-pipelines#custom-components) pipeline component factories and simple stateless component functions. |
-| [`Language.has_factory`](/api/language#has_factory) | Check whether a component factory is registered on a language class.s |
+| [`Language.has_factory`](/api/language#has_factory) | Check whether a component factory is registered on a language class. |
| [`Language.get_factory_meta`](/api/language#get_factory_meta), [`Language.get_pipe_meta`](/api/language#get_factory_meta) | Get the [`FactoryMeta`](/api/language#factorymeta) with component metadata for a factory or instance name. |
| [`Language.config`](/api/language#config) | The [config](/usage/training#config) used to create the current `nlp` object. An instance of [`Config`](https://thinc.ai/docs/api-config#config) and can be saved to disk and used for training. |
| [`Language.components`](/api/language#attributes), [`Language.component_names`](/api/language#attributes) | All available components and component names, including disabled components that are not run as part of the pipeline. |
@@ -1017,7 +1017,7 @@ change your names and imports:
Thanks to everyone who's been contributing to the spaCy ecosystem by developing
and maintaining one of the many awesome [plugins and extensions](/universe).
We've tried to make it as easy as possible for you to upgrade your packages for
-spaCy v3. The most common use case for plugins is providing pipeline components
+spaCy v3.0. The most common use case for plugins is providing pipeline components
and extension attributes. When migrating your plugin, double-check the
following:
