MiuLab/DuaLUG
The implementation of the papers on dual learning of natural language understanding and generation. (ACL2019,2020; Findings of EMNLP 2020)
This project offers a framework for researchers and developers working on natural language processing to train and improve models for both understanding and generating human language. It takes in text data and helps refine models that can interpret the meaning of sentences and create new, grammatically correct and coherent sentences. This is useful for NLP engineers, machine learning researchers, and computational linguists building advanced language AI.
No commits in the last 6 months.
Use this if you are developing or experimenting with new methods for training language models that need to both comprehend and produce text efficiently.
Not ideal if you are a non-technical user looking for a ready-to-use tool or application for immediate language processing tasks.
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67
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15
Language
Python
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Last pushed
Oct 13, 2020
Commits (30d)
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