Chinese Character
Chinese characters, the foundation of written Chinese, are a subject of ongoing research focusing on improving their representation, processing, and understanding within computational linguistics. Current efforts utilize large language models (LLMs) and various neural network architectures, including transformers and LSTMs, to tackle challenges such as automatic speech recognition (ASR), machine translation, and text generation in diverse Chinese dialects and historical scripts. These advancements have significant implications for language technology, enabling improved accessibility to Chinese language resources and facilitating cross-cultural communication and understanding.
Papers
Puzzle Pieces Picker: Deciphering Ancient Chinese Characters with Radical Reconstruction
Pengjie Wang, Kaile Zhang, Xinyu Wang, Shengwei Han, Yongge Liu, Lianwen Jin, Xiang Bai, Yuliang Liu
Readability-guided Idiom-aware Sentence Simplification (RISS) for Chinese
Jingshen Zhang, Xinglu Chen, Xinying Qiu, Zhimin Wang, Wenhe Feng