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README.md

Automatically classifying translation techniques

The code and usage manual is being completed, please come back to check them later.

Automatically classify translation techniques based on manually annotated examples from an English-French parallel corpus of TED Talks.

This project provides the code and dataset for these two papers:

Dependencies needed:

  • Python version 3.0 or higher

  • Pytorch version 0.4.1

  • FastText version 0.2.0

  • 'wordfreq', a Python 3 library, it can tokenize multilingual text consistently: https://pypi.org/project/wordfreq/

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Automatically classify translation techniques from manually annotated examples (CICLING, TALN 2019)

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