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Fix unescaped characters in MDX
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@ -89,7 +89,7 @@ generic subclass containing only the base language data, can be found in
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To train a pipeline using the neutral multi-language class, you can set
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To train a pipeline using the neutral multi-language class, you can set
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`lang = "xx"` in your [training config](/usage/training#config). You can also
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`lang = "xx"` in your [training config](/usage/training#config). You can also
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import the `MultiLanguage` class directly, or call
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\import the `MultiLanguage` class directly, or call
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[`spacy.blank("xx")`](/api/top-level#spacy.blank) for lazy-loading.
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[`spacy.blank("xx")`](/api/top-level#spacy.blank) for lazy-loading.
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### Chinese language support {id="chinese",version="2.3"}
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### Chinese language support {id="chinese",version="2.3"}
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@ -413,8 +413,9 @@ you can also use an empty dictionary, `{}` as a wildcard representing **any
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token**. This is useful if you know the context of what you're trying to match,
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token**. This is useful if you know the context of what you're trying to match,
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but very little about the specific token and its characters. For example, let's
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but very little about the specific token and its characters. For example, let's
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say you're trying to extract people's user names from your data. All you know is
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say you're trying to extract people's user names from your data. All you know is
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that they are listed as "User name: {username}". The name itself may contain any
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that they are listed as "User name: \{username\}". The name itself may contain
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character, but no whitespace – so you'll know it will be handled as one token.
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any character, but no whitespace – so you'll know it will be handled as one
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token.
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```python
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```python
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[{"ORTH": "User"}, {"ORTH": "name"}, {"ORTH": ":"}, {}]
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[{"ORTH": "User"}, {"ORTH": "name"}, {"ORTH": ":"}, {}]
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@ -2910,7 +2910,7 @@
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"",
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"",
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"print(doc._.clauses)",
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"print(doc._.clauses)",
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"# Output:",
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"# Output:",
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"# <SV, AE, died, None, None, None, [in Princeton, in 1955]>",
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"# <SV, AE, died, None, None, None, [in Princeton, in 1955]>",
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"",
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"",
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"propositions = doc._.clauses[0].to_propositions(as_text=True)",
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"propositions = doc._.clauses[0].to_propositions(as_text=True)",
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"",
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"",
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