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https://issues.apache.org/jira/browse/TIKA-3329?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17338071#comment-17338071
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Hudson commented on TIKA-3329:
------------------------------
SUCCESS: Integrated in Jenkins build Tika » tika-branch1x-jdk8 #125 (See
[https://ci-builds.apache.org/job/Tika/job/tika-branch1x-jdk8/125/])
Backport Merge branch 'TIKA-3329' of https://github.com/thammegowda/tika into
main (chris.mattmann:
[https://github.com/apache/tika/commit/2c4ba60e2ce8f3388b92660f842fd63787ee4a5e])
* (add)
tika-translate/src/test/java/org/apache/tika/language/translate/RTGTranslatorTest.java
* (edit)
tika-translate/src/main/resources/META-INF/services/org.apache.tika.language.translate.Translator
* (add)
tika-translate/src/main/java/org/apache/tika/language/translate/RTGTranslator.java
> RTG Translator with many-to-eng translation
> -------------------------------------------
>
> Key: TIKA-3329
> URL: https://issues.apache.org/jira/browse/TIKA-3329
> Project: Tika
> Issue Type: Improvement
> Components: translation
> Reporter: Thamme Gowda
> Assignee: Chris Mattmann
> Priority: Major
> Labels: memex
> Fix For: 2.0.0
>
>
> The existing translation services in tika-translate are either
> commercial/paid engines (e.g. Google, Microsoft etc ) or not state of the
> art (such as Joshua, Moses etc).
> Reader Translator Generator () is a neural machine translation toolkit
> [https://isi-nlp.github.io/rtg/]
> and has the implementation of Transformer NMT model (current state of the
> art).
> It also has massively multilingual pretrained NMT model ( many-to-English
> translation direction)
> [https://hub.docker.com/repository/docker/tgowda/rtg-model]
> in which about 500 source languages are represented, with atleast ~300 source
> languages have good enough quality (For a comparison Google translate has
> ~106 languages, and Microsoft has about 80 languages).
> This issue is for integrating RTG Translator into tika-translate
>
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