ASL Video Corpora & Sign Bank: Resources Available through the American Sign Language Linguistic Research Project (ASLLRP)

ASL Video Corpora & Sign Bank: Resources Available through the American Sign Language Linguistic Research Project (ASLLRP)
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发表时间:
2022-01
期刊:
ArXiv
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通讯作者:
C. Neidle;Augustine Opoku;Dimitris N. Metaxas
C. Neidle;Augustine Opoku;Dimitris N. Metaxas
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其他
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作者:
C. Neidle;Augustine Opoku;Dimitris N. Metaxas

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美国手语语言学研究项目(ASLLRP)提供高质量手语视频数据的互联网访问,通常包括正面和侧面视图以及面部特写。签名的手动和非手动部分已使用SignStream®进行了语言注释。最近扩展的视频语料库可以通过我们设计的数据访问接口(DAI 2)进行浏览和搜索;可以进行复杂的搜索。我们的语料库中的数据也可以下载;注释以XML导出格式提供。我们还开发了ASLLRP符号库,其中包含近6,000个词汇符号的符号条目,具有独特的基于英语的注释,共有41,830个词汇符号示例(此外还有大约300个手势,超过1,000个手指拼写符号和475个分类器示例)。同样,在互联网上也可以访问和搜索手语库;也可以从SignStream®(促进语言注释和视觉语言数据分析的软件)中访问手语库,以使注释更加准确和高效。在这里,我们描述了可用的资源。这些数据已用于语言学和基于计算机的视频手语识别的多种类型的研究;本文的后半部分提供了此类研究的示例。
The American Sign Language Linguistic Research Project (ASLLRP) provides Internet access to high-quality ASL video data, generally including front and side views and a close-up of the face. The manual and non-manual components of the signing have been linguistically annotated using SignStream®. The recently expanded video corpora can be browsed and searched through the Data Access Interface (DAI 2) we have designed; it is possible to carry out complex searches. The data from our corpora can also be downloaded; annotations are available in an XML export format. We have also developed the ASLLRP Sign Bank, which contains almost 6,000 sign entries for lexical signs, with distinct English-based glosses, with a total of 41,830 examples of lexical signs (in addition to about 300 gestures, over 1,000 fingerspelled signs, and 475 classifier examples). The Sign Bank is likewise accessible and searchable on the Internet; it can also be accessed from within SignStream® (software to facilitate linguistic annotation and analysis of visual language data) to make annotations more accurate and efficient. Here we describe the available resources. These data have been used for many types of research in linguistics and in computer-based sign language recognition from video; examples of such research are provided in the latter part of this article.