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π’ 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.
π¦ https://pypi.org/project/bulk-translate/
π https://github.com/nicolay-r/bulk-translate
π 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:
β 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.
β 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:
π https://colab.research.google.com/github/nicolay-r/bulk-translate/blob/master/bulk_translate_demo.ipynb
π This project is based on AREkit 0.25.1 pipelines for deployment lm-based workflows:
https://github.com/nicolay-r/AREkit
π¦ https://pypi.org/project/bulk-translate/
π https://github.com/nicolay-r/bulk-translate
π 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:
β 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.
β 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:
π https://colab.research.google.com/github/nicolay-r/bulk-translate/blob/master/bulk_translate_demo.ipynb
π This project is based on AREkit 0.25.1 pipelines for deployment lm-based workflows:
https://github.com/nicolay-r/AREkit