论文标题
用计算机友好的数值多标签处理手语转录系统
Handling sign language transcription system with the computer-friendly numerical multilabels
论文作者
论文摘要
本文介绍了我们使用汉堡手语注释系统（HAMNOSYS）自动处理手语语料库的最新发展。我们设计了一种自动化工具，将HAMNOSYS注释转换为数值标签，以用于定义的身体和手部位置的初始特征。我们提出的数值多标记极大地简化了注释的结构，而没有明显的光泽含义丧失。这些数值多标记可以可能用于喂养机器学习模型，这将加快基于视觉的手语识别的发展。此外，该工具可以帮助专家参与注释过程，并有助于确定语义错误。代码和示例注释可在\ url {https://github.com/hearai/parse-hamnosys}上公开获得。
This paper presents our recent developments in the automatic processing of sign language corpora using the Hamburg Sign Language Annotation System (HamNoSys). We designed an automated tool to convert HamNoSys annotations into numerical labels for defined initial features of body and hand positions. Our proposed numerical multilabels greatly simplify annotations' structure without significant loss of gloss meaning. These numerical multilabels can potentially be used to feed the machine learning models, which would accelerate the development of vision-based sign language recognition. In addition, this tool can assist experts in the annotation process and help identify semantic errors. The code and sample annotations are publicly available at \url{https://github.com/hearai/parse-hamnosys}.
