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https://issues.apache.org/jira/browse/SPARK-18374?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15650799#comment-15650799
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Sean Owen commented on SPARK-18374:
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I think the idea is that it's applied post-tokenization, after which "won't"
becomes "won" and "t". Removing them would cause a different perhaps bigger
problem. It does seem more ideal to not split "won't" of course and maybe
that's a way forward, but I'm not sure how to do that reliably in a
language-agnostic way without implementing a lot more sophisticated logic.
> Incorrect words in StopWords/english.txt
> ----------------------------------------
>
> Key: SPARK-18374
> URL: https://issues.apache.org/jira/browse/SPARK-18374
> Project: Spark
> Issue Type: Bug
> Components: ML
> Affects Versions: 2.0.1
> Reporter: nirav patel
>
> I was just double checking english.txt for list of stopwords as I felt it was
> taking out valid tokens like 'won'. I think issue is english.txt list is
> missing apostrophe character and all character after apostrophe. So "won't"
> becam "won" in that list; "wouldn't" is "wouldn" .
> Here are some incorrect tokens in this list:
> won
> wouldn
> ma
> mightn
> mustn
> needn
> shan
> shouldn
> wasn
> weren
> I think ideal list should have both style. i.e. won't and wont both should be
> part of english.txt as some tokenizer might remove special characters. But
> 'won' is obviously shouldn't be in this list.
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