no code implementations • AACL (NLP-TEA) 2020 • Meiyuan Fang, Kai Fu, JiPing Wang, Yang Liu, Jin Huang, Yitao Duan
As a result, among the six tracks in the shared task, our system performs well in the correction tracks: measured in F1 score, we rank first, with the highest precision, in the TOP3 correction track and third in the TOP1 correction track, also with the highest precision.
no code implementations • 9 May 2024 • Zeren Zhang, Haibo Qin, Jiayu Huang, Yixin Li, Hui Lin, Yitao Duan, Jinwen Ma
To enhance the framework's generalization capabilities for unseen identities, we incorporate identity loss during the training of the face swapping module.
no code implementations • 2 May 2023 • Chenyang Lyu, Zefeng Du, Jitao Xu, Yitao Duan, Minghao Wu, Teresa Lynn, Alham Fikri Aji, Derek F. Wong, Siyou Liu, Longyue Wang
We conclude by emphasizing the critical role of LLMs in guiding the future evolution of MT and offer a roadmap for future exploration in the sector.
1 code implementation • COLING 2022 • Qiao Cheng, Jin Huang, Yitao Duan
In addition, to enhance diversity, we incorporate the idea of soft word substitution for data augmentation which replaces a word with a probabilistic distribution over the vocabulary.
no code implementations • EMNLP (IWSLT) 2019 • Qiao Cheng, Meiyuan Fang, Yaqian Han, Jin Huang, Yitao Duan
A standard machine translation system is usually trained on parallel corpus composed of clean text and will perform poorly on text with recognition noise, a gap well known in speech translation community.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +5