Also congrats for writing a plugin!

For alternative punctuation tokenizing, you can also look at the "classic"
tokenizer, which is the behavior of Lucene standard tokenization before
3.1, when it switched to Unicode text segmentation.

Best,

Jörg

On Tue, Sep 9, 2014 at 5:36 AM, vineeth mohan <vm.vineethmo...@gmail.com>
wrote:

> Hello Bryan ,
>
> Congrats on your first plugin.
> I have a question here - Can you implement the whole plugin by using
> http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-pattern-tokenizer.html
> tokenizer ?
>
> Is your plugin providing any advantage over going this approach ?
>
> Thanks
>           Vineeth
>
> On Tue, Sep 9, 2014 at 7:56 AM, Bryan Warner <bryan.war...@gmail.com>
> wrote:
>
>> Hi all,
>>
>> Recently, I've been working on an extension to Lucene's Standard
>> Tokenizer that allows the user to customize / override the default word
>> boundary break rules for Unicode characters. The Standard Tokenizer
>> implements the word break rules from the Unicode Text segmentation
>> <http://www.unicode.org/reports/tr29/> algorithm where most punctuation
>> symbols (except for underscore '_') are treated as hard word breaks (e.g.
>> "@foo" , "#foo" are tokenized to "foo"). While the Standard Tokenizer works
>> great in most cases, I found that being unable to override the default word
>> break rules was quite limiting especially since a lot of these punctuation
>> symbols have important meaning now on the web (@ - mentions, # - hashtags,
>> etc.)
>>
>> I've wrapped this extension to the Standard Tokenizer in an ElasticSearch
>> plugin, which can be found at -
>> https://github.com/bbguitar77/elasticsearch-analysis-standardext ...
>> definitely looking for feedback as this is my first go at an ElasticSearch
>> plugin!
>>
>> I'm hoping other ElasticSearch / Lucene users find this helpful.
>>
>> Cheers!
>> Bryan
>>
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