@inproceedings{yang-etal-2024-jie,
title = "结合{LLM}与3{D}动画技术的手语数字人系统",
author = "Yang, Yang and
Zhang, Ying and
Huang, Kaiyu and
Xu, Jinan",
editor = "Hongfei, Lin and
Hongye, Tan and
Bin, Li",
booktitle = "Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations)",
month = jul,
year = "2024",
address = "Taiyuan, China",
publisher = "Chinese Information Processing Society of China",
url = "https://aclanthology.org/2024.ccl-3.44/",
pages = "393--404",
language = "zho",
abstract = "``手语翻译(Sign Language Translation, SLT)系统作为一种重要的辅助技术,为听障人士提供了与他人沟通的有效途径。然而,传统手语翻译系统在准确性、流畅性差等方面存在问题。本文提出了一种结合大语言模型(Large Language Model, LLM)和3D动画技术(3D Animation Technology)的手语翻译系统,旨在克服这些局限,提高翻译的准确性和流畅性。本文详细介绍了系统的设计与实现过程,包括提示词设计、数据处理方法以及手语数字人翻译系统的实现。实验结果表明,采用LLM方法在手语翻译中能够生成较为自然和准确的结果。在标准评估和人工评估的两种评估方法下,本系统在大多数情况下能够较好地完成手语翻译任务,性能优于传统方法。本文的研究为进一步改进手语翻译系统提供了有益的参考和启示。''"
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<abstract>“手语翻译(Sign Language Translation, SLT)系统作为一种重要的辅助技术,为听障人士提供了与他人沟通的有效途径。然而,传统手语翻译系统在准确性、流畅性差等方面存在问题。本文提出了一种结合大语言模型(Large Language Model, LLM)和3D动画技术(3D Animation Technology)的手语翻译系统,旨在克服这些局限,提高翻译的准确性和流畅性。本文详细介绍了系统的设计与实现过程,包括提示词设计、数据处理方法以及手语数字人翻译系统的实现。实验结果表明,采用LLM方法在手语翻译中能够生成较为自然和准确的结果。在标准评估和人工评估的两种评估方法下,本系统在大多数情况下能够较好地完成手语翻译任务,性能优于传统方法。本文的研究为进一步改进手语翻译系统提供了有益的参考和启示。”</abstract>
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%0 Conference Proceedings
%T 结合LLM与3D动画技术的手语数字人系统
%A Yang, Yang
%A Zhang, Ying
%A Huang, Kaiyu
%A Xu, Jinan
%Y Hongfei, Lin
%Y Hongye, Tan
%Y Bin, Li
%S Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations)
%D 2024
%8 July
%I Chinese Information Processing Society of China
%C Taiyuan, China
%G zho
%F yang-etal-2024-jie
%X “手语翻译(Sign Language Translation, SLT)系统作为一种重要的辅助技术,为听障人士提供了与他人沟通的有效途径。然而,传统手语翻译系统在准确性、流畅性差等方面存在问题。本文提出了一种结合大语言模型(Large Language Model, LLM)和3D动画技术(3D Animation Technology)的手语翻译系统,旨在克服这些局限,提高翻译的准确性和流畅性。本文详细介绍了系统的设计与实现过程,包括提示词设计、数据处理方法以及手语数字人翻译系统的实现。实验结果表明,采用LLM方法在手语翻译中能够生成较为自然和准确的结果。在标准评估和人工评估的两种评估方法下,本系统在大多数情况下能够较好地完成手语翻译任务,性能优于传统方法。本文的研究为进一步改进手语翻译系统提供了有益的参考和启示。”
%U https://aclanthology.org/2024.ccl-3.44/
%P 393-404
Markdown (Informal)
[结合LLM与3D动画技术的手语数字人系统](https://aclanthology.org/2024.ccl-3.44/) (Yang et al., CCL 2024)
ACL
- Yang Yang, Ying Zhang, Kaiyu Huang, and Jinan Xu. 2024. 结合LLM与3D动画技术的手语数字人系统. In Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations), pages 393–404, Taiyuan, China. Chinese Information Processing Society of China.