OLAC Record oai:compendium.lr.sign-lang.uni-hamburg.de:asllex |
Metadata | ||
Title: | ASL-LEX | |
Bibliographic Citation: | Zed Sevcikova Sehyr, Naomi Caselli, Ariel M Cohen-Goldberg, Karen Emmorey (2021). "The ASL-LEX 2.0 Project: A Database of Lexical and Phonological Properties for 2,723 Signs in American Sign Language". In: Journal of Deaf Studies and Deaf Education 26(2), pp. 263-277. ISSN: 1081-4159. DOI: 10.1093/deafed/enaa038. | |
Naomi K. Caselli, Zed Sevcikova Sehyr, Ariel M. Cohen-Goldberg, Karen Emmorey (2017). "ASL-LEX: A lexical database of American Sign Language". In: Behavior Research Methods 49(2), pp. 784-801. ISSN: 1554-3528. DOI: 10.3758/s13428-016-0742-0. | ||
Contributor (sponsor): | San Diego State University, Boston University and Tufts University | |
Description: | ASL-LEX is a database of phonological and lexical properties of ASL signs. When first released it consisted of 1000 signs, growing in size to 2723 signs in the 2020 release. ASL-LEX is built in a collaboration of Laboratory for Language and Cognitive Neuroscience at San Diego State University, the Programs in Deaf Studies at Boston University and the Psycholinguistics and Linguistics Lab at Tufts University. The creators are Naomi Caselli, Karen Emmorey, Zed Sevcikova Sehyr, Ariel Cohen-Goldberg, Cindy O'Grady Farnady. The resource is available as a searchable web interface and as a raw data in spreadsheet form. The project provides web visualisations, instructions of usage and a download option. The frequency ratings provided are done by 25 deaf signers per sign. ASL-LEX – together with ASL Signbank and SignStudy – is used in the construction of ASLNet (Lualdi et al., 2021), a wordnet for American Sign Language. ASL-LEX is part of the SIGN-LEX interactive web-based platform (see Caselli et al. (2022)), also hosting ISL-LEX. | |
https://www.sign-lang.uni-hamburg.de/lr/compendium/lex/asllex.html | ||
Format: | 2723 signs | |
Identifier (URI): | https://doi.org/10.17605/OSF.IO/ZPHA4 | |
Subject: | Lexical resource for American Sign Language | |
American Sign Language language | ||
English language | ||
Subject (ISO639): | ase | |
eng | ||
Subject (OLAC): | lexicography | |
Type (DCMI): | Dataset | |
MovingImage | ||
Text | ||
Type (OLAC): | lexicon | |
OLAC Info |
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Archive: | The Sign Language Dataset Compendium | |
Description: | http://www.language-archives.org/archive/compendium.lr.sign-lang.uni-hamburg.de | |
GetRecord: | OAI-PMH request for OLAC format | |
GetRecord: | Pre-generated XML file | |
OAI Info |
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OaiIdentifier: | oai:compendium.lr.sign-lang.uni-hamburg.de:asllex | |
DateStamp: | 2023-08-07 | |
GetRecord: | OAI-PMH request for simple DC format | |
Search Info | ||
Citation: | San Diego State University, Boston University and Tufts University (sponsor). n.d. The Sign Language Dataset Compendium. | |
Terms: | area_Americas area_Europe country_GB country_US dcmi_Dataset dcmi_MovingImage dcmi_Text iso639_ase iso639_eng olac_lexicography olac_lexicon | |
Inferred Metadata | ||
Country: | United KingdomUnited States | |
Area: | AmericasEurope |