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https://issues.apache.org/jira/browse/DATAFU-88?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14313241#comment-14313241
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Matthew Hayes commented on DATAFU-88:
-------------------------------------

That looks pretty useful.  However I see that this library is GPL v3, which 
means we cannot autojar it to include it in our datafu-pig jar.  It would have 
to be downloaded separately.

[~jghoman], what are the implications if we added a wrapper around a GPL v3 
library?  If this was a dependency that had to be downloaded separately would 
this be a problem?  Is there any precedent for Apache projects depending on 
GPL-licensed libraries?

> Port Stanford Core NLP Functionality to DataFu
> ----------------------------------------------
>
>                 Key: DATAFU-88
>                 URL: https://issues.apache.org/jira/browse/DATAFU-88
>             Project: DataFu
>          Issue Type: New Feature
>    Affects Versions: 1.3.0
>            Reporter: Russell Jurney
>            Assignee: Russell Jurney
>              Labels: lemmatizer, nlp, pig, pig_udf, stanford, stemmer
>   Original Estimate: 168h
>  Remaining Estimate: 168h
>
> For starters I need the Stanford Core NLP stemmer and lemmatizer. 
> It looks like maybe I can add something generic and feed arguments to code 
> like: props.put("annotators", "tokenize, ssplit, pos, lemma");
> Helpful example of lemmatizing at 
> http://stackoverflow.com/questions/1578062/lemmatization-java



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