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https://issues.apache.org/jira/browse/SOLR-1979?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12967076#action_12967076
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Robert Muir commented on SOLR-1979:
-----------------------------------

{quote}
It makes sense to allow for detecting languages outside 639-1, and I believe 
RFC3066 and BCP47 are both re-using the 639 codes, so that if there is a 
2-letter code for a language it will be used. 639-1 is what "everyone" already 
knows.

In general, improvements should be done in Tika space, then use those in Solr, 
thus building one strong language detection library.
{quote}

yes they do, the 639-1 codes that tika outputs are also valid BCP47 codes :)

but in solr, when designing up front, i was just saying we shouldn't limit any 
abstract portion to 639-1 when another implementation might support 3066 or 
BCP47... we should make sure we allow that.


> Create LanguageIdentifierUpdateProcessor
> ----------------------------------------
>
>                 Key: SOLR-1979
>                 URL: https://issues.apache.org/jira/browse/SOLR-1979
>             Project: Solr
>          Issue Type: New Feature
>          Components: update
>            Reporter: Jan Høydahl
>            Assignee: Grant Ingersoll
>            Priority: Minor
>         Attachments: SOLR-1979.patch, SOLR-1979.patch, SOLR-1979.patch
>
>
> We need the ability to detect language of some random text in order to act 
> upon it, such as indexing the content into language aware fields. Another 
> usecase is to be able to filter/facet on language on random unstructured 
> content.
> To do this, we wrap the Tika LanguageIdentifier in an UpdateProcessor. The 
> processor is configurable like this:
> {code:xml} 
>   <processor 
> class="org.apache.solr.update.processor.LanguageIdentifierUpdateProcessorFactory">
>     <str name="inputFields">name,subject</str>
>     <str name="outputField">language_s</str>
>     <str name="idField">id</str>
>     <str name="fallback">en</str>
>   </processor>
> {code} 
> It will then read the text from inputFields name and subject, perform 
> language identification and output the ISO code for the detected language in 
> the outputField. If no language was detected, fallback language is used.

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