Preprocess Text: Add Spacy POS tagger #1070
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The only thing left is to discuss the problem of additional dependencies in certain models (Chinese, Japanese, Russian and Ukrainian). Remove or somehow gracefully handle? |
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I get this, if the model is not installed. |
VesnaT
reviewed
Jul 19, 2024
| def __getitem__(self, language: str) -> str: | ||
| model = find_model(language) | ||
| if model not in self.installed_models: | ||
| download(model) |
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self.installed_models should be updated at this point. If not the package keeps getting downloaded.
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So, the downloaded models are indeed packages. We have to warn the user that selecting a given language will install additional dependencies to the Orange environment (think about the wording). |
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Issue
Implements #596.
Description of changes
Add Spacy, first as a POS tagger because it is most sorely missed.
Later: implement Spacy for NER (also sorely missed). And for other NLP tasks (solo Spacy preprocessor).
Includes