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
Zhongjing: Enhancing the Chinese Medical Capabilities of Large Language Model through Expert Feedback and Real-world Multi-turn Dialogue
Songhua Yang, Hanjie Zhao, Senbin Zhu, Guangyu Zhou, Hongfei Xu, Yuxiang Jia, Hongying Zan
A Benchmark for Chinese-English Scene Text Image Super-resolution
Jianqi Ma, Zhetong Liang, Wangmeng Xiang, Xi Yang, Lei Zhang