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Using Computer Vision to Analyze Non-manual Marking of Questions in KRSL

باستخدام رؤية الكمبيوتر لتحليل العلامات غير اليدوية للأسئلة في KRSL

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 Publication date 2021
and research's language is English
 Created by Shamra Editor




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This paper presents a study that compares non-manual markers of polar and wh-questions to statements in Kazakh-Russian Sign Language (KRSL) in a dataset collected for NLP tasks. The primary focus of the study is to demonstrate the utility of computer vision solutions for the linguistic analysis of non-manuals in sign languages, although additional corrections are required to account for biases in the output. To this end, we analyzed recordings of 10 triplets of sentences produced by 9 native signers using both manual annotation and computer vision solutions (such as OpenFace). We utilize and improve the computer vision solution, and briefly describe the results of the linguistic analysis.

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