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Add Morphology and MorphAnalysis to overview

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Adriane Boyd 2020-07-21 13:06:22 +02:00
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website/docs/usage/101/_architecture.md
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@ -24,6 +24,7 @@ an **annotated document**. It also orchestrates training and serialization.
| [`Span`](/api/span) | A slice from a `Doc` object. |
| [`Token`](/api/token) | An individual token — i.e. a word, punctuation symbol, whitespace, etc. |
| [`Lexeme`](/api/lexeme) | An entry in the vocabulary. It's a word type with no context, as opposed to a word token. It therefore has no part-of-speech tag, dependency parse etc. |
| [`MorphAnalysis`](/api/morphanalysis) | A morphological analysis. |
### Processing pipeline {#architecture-pipeline}
@ -32,7 +33,7 @@ an **annotated document**. It also orchestrates training and serialization.
| [`Language`](/api/language) | A text-processing pipeline. Usually you'll load this once per process as `nlp` and pass the instance around your application. |
| [`Tokenizer`](/api/tokenizer) | Segment text, and create `Doc` objects with the discovered segment boundaries. |
| [`Lemmatizer`](/api/lemmatizer) | Determine the base forms of words. |
| `Morphology` | Assign linguistic features like lemmas, noun case, verb tense etc. based on the word and its part-of-speech tag. |
| [`Morphology`](/api/morphology) | Assign linguistic features like lemmas, noun case, verb tense etc. based on the word and its part-of-speech tag. |
| [`Tagger`](/api/tagger) | Annotate part-of-speech tags on `Doc` objects. |
| [`DependencyParser`](/api/dependencyparser) | Annotate syntactic dependencies on `Doc` objects. |
| [`EntityRecognizer`](/api/entityrecognizer) | Annotate named entities, e.g. persons or products, on `Doc` objects. |