Search Results for author: Yitao Duan

Found 5 papers, 1 papers with code

A Hybrid System for NLPTEA-2020 CGED Shared Task

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.

SwapTalk: Audio-Driven Talking Face Generation with One-Shot Customization in Latent Space

no code implementations9 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.

Face Swapping Talking Face Generation

A Paradigm Shift: The Future of Machine Translation Lies with Large Language Models

no code implementations2 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.

Document Translation Machine Translation +2

Semantically Consistent Data Augmentation for Neural Machine Translation via Conditional Masked Language Model

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.

Data Augmentation Language Modelling +2

Breaking the Data Barrier: Towards Robust Speech Translation via Adversarial Stability Training

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

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