Papers with unsupervised adaptive context-aware conversion model

1 papers
An Unsupervised Framework for Adaptive Context-aware Simplified-Traditional Chinese Character Conversion (2024.lrec-main)

Copied to clipboard

Challenge: Traditional Chinese characters are still widely used in many areas of China . traditional methods to convert between simplified characters are ineffective .
Approach: They propose an unsupervised adaptive context-aware conversion model that learns to convert between simplified and traditional Chinese characters under a denoising auto-encoder framework.
Outcome: The proposed model outperforms strong unsupervised baselines and yields better conversion result for one-to-many cases.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations