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https://issues.apache.org/jira/browse/SOLR-1979?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12968820#action_12968820
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Jan Høydahl commented on SOLR-1979:
-----------------------------------
>>I have a plan to add profiles for the Norwegian and Sami languages when time
>>allows: TIKA-491 TIKA-492
>Did you plan to also upgrade tika from 639-1 for the Sami languages? the only
>639-1 code i see is "se" but this seems to be appropriate only for North Sami.
Exactly. That's one example which will need a wider range of codes. I was
planning to use 639-2 for those that do not have a 2-letter code, but BCP47 it
will be now (although the end result may be more or less the same)
We also need to detect whether a language is part of a macro language, and add
both to languages multivalue field, because it should be possible to filter on
Norwegian (no) without specifying both nn and nb, and also for sami (smi)
without specifying all of the specific languages.
> 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,
> 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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