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morphologizer only
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@ -170,7 +170,7 @@ nlp = spacy.blank("sv")
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nlp.add_pipe("lemmatizer", config={"mode": "lookup"})
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nlp.add_pipe("lemmatizer", config={"mode": "lookup"})
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```
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```
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### Rule-based lemmatizer {id="lemmatizer-rule",model="morphologizer,tagger"}
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### Rule-based lemmatizer {id="lemmatizer-rule",model="morphologizer"}
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When training pipelines that include a component that assigns part-of-speech
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When training pipelines that include a component that assigns part-of-speech
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tags (a morphologizer or a tagger with a [POS mapping](#mappings-exceptions)), a
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tags (a morphologizer or a tagger with a [POS mapping](#mappings-exceptions)), a
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