📢 If you're looking for translating massive dataset of JSON-lines / CSV data with various set of source fields, then the following update would be relevant. So far and experimenting with adapting language specific Sentiment Analysis model, got a change to reforge and relaese bulk-translate 0.25.2.
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📢 If you're looking for translating massive dataset of JSON-lines / CSV data with various set of source fields, then the following update would be relevant. So far and experimenting with adapting language specific Sentiment Analysis model, got a change to reforge and relaese bulk-translate 0.25.2.
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⭐️ 
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⭐️ 
https://github.com/nicolay-r/bulk-translate/releases/tag/0.25.2
https://github.com/nicolay-r/bulk-translate/releases/tag/0.25.2
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The update has the following major features
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The update has the following major features
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- Supporting schemas: all the columns to be translated are now could be declared within the same prompt-style format. using json this automatically allows to map them onto output fields
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- Supporting schemas: all the columns to be translated are now could be declared within the same prompt-style format. using json this automatically allows to map them onto output fields
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- The related updates for shell execution mode: schema parameter is now available alongside with just a prompt usage before.
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- The related updates for shell execution mode: schema parameter is now available alongside with just a prompt usage before.
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Benefit is that your output is invariant. You can extend and stack various translators with separated shell laucnhes.
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Benefit is that your output is invariant. You can extend and stack various translators with separated shell laucnhes.
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Screenshot below is the application of the google-translate engine in manual batching mode.
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Screenshot below is the application of the google-translate engine in manual batching mode.
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🚀 Performance: 2.5 it / sec (in the case of a single field translation)
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🚀 Performance: 2.5 it / sec (in the case of a single field translation)
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🌟 about bulk-translate: 
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🌟 about bulk-translate: 
https://github.com/nicolay-r/bulk-translate
https://github.com/nicolay-r/bulk-translate
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🌌 nlp-thirdgate: 
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🌌 nlp-thirdgate: 
https://github.com/nicolay-r/nlp-thirdgate?tab=readme-ov-file
https://github.com/nicolay-r/nlp-thirdgate?tab=readme-ov-file
link
📢 If you're looking for translating massive dataset of JSON-lines / CSV data with various set of source fields, then the following update would be relevant. So far and experimenting with adapting language specific Sentiment Analysis model, got a change to reforge and relaese bulk-translate 0.25.2.
⭐️ https://github.com/nicolay-r/bulk-translate/releases/tag/0.25.2

The update has the following major features
- Supporting schemas: all the columns to be translated are now could be declared within the same prompt-style format. using json this automatically allows to map them onto output fields
- The related updates for shell execution mode: schema parameter is now available alongside with just a prompt usage before.

Benefit is that your output is invariant. You can extend and stack various translators with separated shell laucnhes.

Screenshot below is the application of the google-translate engine in manual batching mode.
🚀 Performance: 2.5 it / sec (in the case of a single field translation)

🌟 about bulk-translate: https://github.com/nicolay-r/bulk-translate
🌌 nlp-thirdgate: https://github.com/nicolay-r/nlp-thirdgate?tab=readme-ov-file
🚀
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