HenningBuhl/low-resource-machine-translation
This repository is an open-source colleciton of various low-resource machine translation experiments.
This project helps machine translation researchers and practitioners experiment with different strategies for translating between languages that have limited existing translation data. It takes raw text in various languages and, through different 'pivoting' techniques, produces machine translation models that can translate between them. The primary users are researchers or engineers working in natural language processing or computational linguistics who need to build translation systems for less common language pairs.
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Use this if you need to build or evaluate machine translation models for language pairs where direct parallel translated text is scarce, by leveraging a third 'pivot' language with more available data.
Not ideal if you are looking for a ready-to-use translation API or a solution for high-resource language pairs with ample parallel data.
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Language
Python
License
MIT
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Last pushed
May 23, 2023
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