THUNLP-MT/TRICE
Code for our paper "Transfer Learning for Sequence Generation: from Single-source to Multi-source" in ACL 2021.
This project offers a framework to improve the accuracy of machine translation and document summarization systems. It takes text from one or more source languages (or multiple documents) and produces more accurate translated text or a summary, especially when dealing with complex, multi-source information. Researchers and developers working on advanced natural language processing tasks will find this useful.
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Use this if you are a researcher or NLP developer looking to improve state-of-the-art results in tasks like automatic post-editing, multi-source machine translation, or multi-document summarization.
Not ideal if you are looking for a ready-to-use, off-the-shelf translation or summarization application without technical implementation.
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Language
Python
License
BSD-3-Clause
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Last pushed
Jun 01, 2021
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