OLAC Record
oai:scholarspace.manoa.hawaii.edu:10125/104818

Metadata
Title:Auto-Transcription of Endangered Sign Languages Using Convolutional Neural Networks
Bibliographic Citation:2023-03-02; Endangered and indigenous sign languages are often underrepresented in language documentation efforts, partly due to the relative difficulty of transcribing visual signs. In this proof-of-concept study, we leverage burgeoning technologies in artificial intelligence and image processing to automatically transcribe one of the five Stokoe notation parameters for a given lexeme.; Kaipuleohone University of Hawai'i Digital Language Archive;https://hdl.handle.net/10125/104818.
Date (W3CDTF):2023-03-02
Description:Endangered and indigenous sign languages are often underrepresented in language documentation efforts, partly due to the relative difficulty of transcribing visual signs. In this proof-of-concept study, we leverage burgeoning technologies in artificial intelligence and image processing to automatically transcribe one of the five Stokoe notation parameters for a given lexeme.
Identifier:ICLDC8-03
Identifier (URI):https://hdl.handle.net/10125/104818
Table Of Contents:ICLDC8-03.pdf
Type (DCMI):Image
Text

OLAC Info

Archive:  Language Documentation and Conservation
Description:  http://www.language-archives.org/archive/ldc.scholarspace.manoa.hawaii.edu
GetRecord:  OAI-PMH request for OLAC format
GetRecord:  Pre-generated XML file

OAI Info

OaiIdentifier:  oai:scholarspace.manoa.hawaii.edu:10125/104818
DateStamp:  2023-04-14
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: n.a. 2023. Language Documentation and Conservation.
Terms: dcmi_Image dcmi_Text


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Up-to-date as of: Sat Apr 20 18:40:56 EDT 2024