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Words surrounded by backwards quotation marks causing inaccurate tokenization results #17

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rghavimi opened this issue Feb 16, 2023 · 0 comments

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@rghavimi
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rghavimi commented Feb 16, 2023

It seems that the occurrence of a backwards quotation marks (“end“) in the text causes different tokenization results compared to Python implementations. This is the only inconsistency I've run into thus far. Curious if anyone else has seen similar issues.

Example: “ends -> tokenizes to ##end and ##s instead of ##ends

@rghavimi rghavimi changed the title Backwards quotation mark causing different tokenization results Backwards quotation mark causing inaccurate tokenization results Feb 16, 2023
@rghavimi rghavimi changed the title Backwards quotation mark causing inaccurate tokenization results Words surrounded by backwards quotation marks causing inaccurate tokenization results Feb 16, 2023
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