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
Findings of the WMT 2024 Shared Task on Discourse-Level Literary Translation
Longyue Wang, Siyou Liu, Chenyang Lyu, Wenxiang Jiao, Xing Wang, Jiahao Xu, Zhaopeng Tu, Yan Gu, Weiyu Chen, Minghao Wu, Liting Zhou, Philipp Koehn, Andy Way, Yulin Yuan
Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach
Peirong Zhang, Lianwen Jin