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Multimedia Database of Russian Sign Language Items in 3D
 
PIIS0373658X0008302-1-1
DOI10.31857/S0373658X0008302-1
Publication type Article
Status Published
Authors
Ildar Kagirov 
Affiliation: St. Petersburg Institute for Informatics and Automation of RAS
Address: Russian Federation, St. Petersburg
Dmitry A. Ryumin
Affiliation: St. Petersburg Institute for Informatics and Automation of RAS
Address: Russian Federation, St. Petersburg
Alexander A. Axyonov
Affiliation: St. Petersburg Institute for Informatics and Automation of RAS
Address: Russian Federation, St. Petersburg
Alexey A. Karpov
Affiliation: St. Petersburg Institute for Informatics and Automation, Russian Academy of Sciences
Address: Russian Federation, St. Petersburg
Journal nameVoprosy Jazykoznanija
EditionIssue 1
Pages104-123
Abstract

The present paper describes a multimedia database (MMDB) of the Russian Sign Language (RSL) and briefly sketches the outlines of its phonological annotation. This MMDB is unusual thanks to 3D format, which provides new opportunities for the lexicographical description of the vocabulary and enhances the study of RSL articulation features. The three-dimensional representation of the gesture is achieved by using a Kinect 2.0 camera that records data in high resolution (FullHD), in the depth map mode and in the infrared range. The presented DB comprises 164 lexical items and clauses, demonstrated by 13 signers and repeated 5 times at least. The total size of all the files is 3.8 Tb, the video duration is more than 8 hours. The article provides an overview of the existing RSL databases, reveals the content of the described dictionary, outlines principles of linguistic annotation of gestures, and gives an explanation the set of features used for annotation of the present MMDB. It is noted in the paper that some parameters of signs can vary significantly from informant to informant, e.g. handshape and localization. However, the reasons for such variability, as well as its scope and significance for describing RSL, are a matter of further research.

Keywordscomputational linguistics, databases, Russian Sign Language, sign languages
AcknowledgmentThe research is supported by the Ministry of Science and Higher Education of the Russian Federation, under the agreement No. 14.616.21.0095 (ID Number: RFMEFI61618X0095).
Publication date02.03.2020
Number of characters37201
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