vlsi commented on issue #6719:
URL: https://github.com/apache/jmeter/issues/6719#issuecomment-4891546345

   Localization requires native-speaker review.
   Sure LLMs help with translations, however, their output requires 
proofreading.
   
   Frankly, I think the right direction for localization is:
   * Create language-specific skill for technical writing (see 
https://github.com/Netcracker/qubership-ai-packages/tree/main/agent-packages/english-us-developer-style,
 
https://github.com/Netcracker/qubership-ai-packages/tree/main/agent-packages/french-developer-style,
 
https://github.com/Netcracker/qubership-ai-packages/tree/main/agent-packages/russian-developer-style)
   * Create a app-specific glossary for each language. E.g. see (not sure if 
you read Russian :) ) 
https://github.com/vlsi/jmeter/blob/russian_translation/xdocs/localising/glossary_ru.md
   * Generate/update translations with LLM
   * Review the translations with a native speaker
   
   WDYT?
   


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