diff --git a/website/docs/usage/v3.md b/website/docs/usage/v3.md index fe4765285..b25b28a6d 100644 --- a/website/docs/usage/v3.md +++ b/website/docs/usage/v3.md @@ -433,14 +433,14 @@ The following methods, attributes and commands are new in spaCy v3.0. | Name | Description | | ------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | | [`Token.lex`](/api/token#attributes) | Access a token's [`Lexeme`](/api/lexeme). | -| [`Token.morph`](/api/token#attributes), [`Token.morph_`](/api/token#attributes) | Access a token's morphological analysis. | +| [`Token.morph`](/api/token#attributes) | Access a token's morphological analysis. | | [`Doc.has_annotation`](/api/doc#has_annotation) | Check whether a doc has annotation on a token attribute. | | [`Language.select_pipes`](/api/language#select_pipes) | Context manager for enabling or disabling specific pipeline components for a block. | | [`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). | | [`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. | +| [`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. | @@ -1032,9 +1032,9 @@ 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 v3.0. The most common use case for plugins is providing pipeline components -and extension attributes. When migrating your plugin, double-check the -following: +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: - Use the [`@Language.factory`](/api/language#factory) decorator to register your component and assign it a name. This allows users to refer to your