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📢 If you were earlier interested in quick translator application for bunch of texts with spans of fixed parts that tolerant for translation, then this post might be relevant! Delighted to share a bulk_translate -- a framework for automatic texts translation with the pre-anotated fixed spans. 
📢 If you were earlier interested in quick translator application for bunch of texts with spans of fixed parts that tolerant for translation, then this post might be relevant! Delighted to share a bulk_translate -- a framework for automatic texts translation with the pre-anotated fixed spans. 
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📦 
📦 
link
https://pypi.org/project/bulk-translate/
https://pypi.org/project/bulk-translate/
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🌟 
🌟 
link
https://github.com/nicolay-r/bulk-translate
https://github.com/nicolay-r/bulk-translate
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🔑 Spans allows you to control your objects in texts, so that objects would be tollerant to translator.  By default it provides implementation for GoogleTranslate.
🔑 Spans allows you to control your objects in texts, so that objects would be tollerant to translator.  By default it provides implementation for GoogleTranslate.
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bulk_translate features: 
bulk_translate features: 
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✅ Native Implementation of two translation modes:
✅ Native Implementation of two translation modes:
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    - fast-mode: exploits extra chars for grouping text parts into single batch
    - fast-mode: exploits extra chars for grouping text parts into single batch
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    - accurate: pefroms individual translation of each text part.
    - accurate: pefroms individual translation of each text part.
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✅ No strings: you're free to adopt any LM / LLM backend.
✅ No strings: you're free to adopt any LM / LLM backend.
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Support googletrans by default.
Support googletrans by default.
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The initial release of the project supports fixed spans as text parts wrapped in square brackets [] with non inner space characters.
The initial release of the project supports fixed spans as text parts wrapped in square brackets [] with non inner space characters.
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You can play with your data in CSV here on GoogleColab:
You can play with your data in CSV here on GoogleColab:
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📒 
📒 
link
https://colab.research.google.com/github/nicolay-r/bulk-translate/blob/master/bulk_translate_demo.ipynb
https://colab.research.google.com/github/nicolay-r/bulk-translate/blob/master/bulk_translate_demo.ipynb
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👏  This project is based on AREkit 0.25.1 pipelines for deployment lm-based workflows: 
👏  This project is based on AREkit 0.25.1 pipelines for deployment lm-based workflows: 
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link
https://github.com/nicolay-r/AREkit
https://github.com/nicolay-r/AREkit
📢 If you were earlier interested in quick translator application for bunch of texts with spans of fixed parts that tolerant for translation, then this post might be relevant! Delighted to share a bulk_translate -- a framework for automatic texts translation with the pre-anotated fixed spans. 

📦 https://pypi.org/project/bulk-translate/ 
🌟 https://github.com/nicolay-r/bulk-translate

🔑 Spans allows you to control your objects in texts, so that objects would be tollerant to translator.  By default it provides implementation for GoogleTranslate.

bulk_translate features: 
✅ Native Implementation of two translation modes:
    - fast-mode: exploits extra chars for grouping text parts into single batch
    - accurate: pefroms individual translation of each text part.
✅ No strings: you're free to adopt any LM / LLM backend.
Support googletrans by default.

The initial release of the project supports fixed spans as text parts wrapped in square brackets [] with non inner space characters.

You can play with your data in CSV here on GoogleColab:
📒 https://colab.research.google.com/github/nicolay-r/bulk-translate/blob/master/bulk_translate_demo.ipynb

👏  This project is based on AREkit 0.25.1 pipelines for deployment lm-based workflows: 
https://github.com/nicolay-r/AREkit
👀
John6666