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Update README.md

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@@ -108,7 +108,7 @@ This scheme captures acronyms, e.g., "NATO", as well as bi-capitalized words, e.
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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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  | . | Latin full stop | Many |
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  | , | Latin comma | Many |
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  | ? | Latin question mark | Many |
@@ -117,7 +117,7 @@ This model predicts the following set of "post" punctuation tokens:
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  | 。 | Full-width full stop | Chinese, Japanese |
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  | 、 | Ideographic comma | Chinese, Japanese |
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  | ・ | Middle dot | Japanese |
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- | । | Danda | Hindi |
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  | ؟ | Arabic question mark | Arabic |
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  | ; | Greek question mark | Greek |
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  | ። | Ethiopic full stop | Amharic |
 
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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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  | . | Latin full stop | Many |
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  | , | Latin comma | Many |
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  | ? | Latin question mark | Many |
 
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  | 。 | Full-width full stop | Chinese, Japanese |
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  | 、 | Ideographic comma | Chinese, Japanese |
119
  | ・ | Middle dot | Japanese |
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+ | । | Danda | Hindi, Bengali, Oriya |
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  | ؟ | Arabic question mark | Arabic |
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  | ; | Greek question mark | Greek |
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  | ። | Ethiopic full stop | Amharic |