Scholarlink

There are significant challenges in the domain of sign language machine translation such as dataset quality, translation system complexity, and linguistic distance measurement. We introduce SignPro, a refined version of the SignBank dataset tailored specifically for machine translation purposes. We also address the challenge of comparing sign language translation methods across publications by providing an implementation of a text to gloss translation pipeline with grammar inclined word reordering and neural machine translation.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

SignPro: A SignBank Dataset Optimization and Baseline Model Implementation

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Shailender Kumar,
  • Gurleen Kaur,
  • Hitesh Marwaha,
  • Rohan Gupta

摘要

There are significant challenges in the domain of sign language machine translation such as dataset quality, translation system complexity, and linguistic distance measurement. We introduce SignPro, a refined version of the SignBank dataset tailored specifically for machine translation purposes. We also address the challenge of comparing sign language translation methods across publications by providing an implementation of a text to gloss translation pipeline with grammar inclined word reordering and neural machine translation.