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1-800-BAD-CODE
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xlm-roberta_punctuation_fullstop_truecase

Text2Text Generation
ONNX
NeMo
generic
punctuation
sentence-boundary-detection
truecasing
true-casing
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@@ -65,7 +65,7 @@ and detects sentence boundaries (full stops) in 47 languages.
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  ## Post-Punctuation Tokens
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  This model predicts the following set of "post" punctuation tokens:
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- | Token | Description | Relavant Languages |
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  | ---: | :---------- | :----------- |
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  | \<NULL\> | No punctuation | All |
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  | \<ACRONYM\> | Every character in this subword is followed by a period | Primarily English, some European |
@@ -88,8 +88,9 @@ This model predicts the following set of "post" punctuation tokens:
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  ## Pre-Punctuation Tokens
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  This model predicts the following set of "post" punctuation tokens:
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- | Token | Description | Relavant Languages |
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  | ---: | :---------- | :----------- |
 
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  | ¿ | Inverted question mark | Spanish |
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  ## Post-Punctuation Tokens
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  This model predicts the following set of "post" punctuation tokens:
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+ | Token | Description | Relevant Languages |
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  | ---: | :---------- | :----------- |
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  | \<NULL\> | No punctuation | All |
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  | \<ACRONYM\> | Every character in this subword is followed by a period | Primarily English, some European |
 
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  ## Pre-Punctuation Tokens
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  This model predicts the following set of "post" punctuation tokens:
90
 
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+ | Token | Description | Relevant Languages |
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  | ---: | :---------- | :----------- |
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+ | \<NULL\> | No punctuation | All |
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  | ¿ | Inverted question mark | Spanish |
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