The ASL-LEX 2.0 Project: A Database of Lexical and Phonological Properties for 2,723 Signs in American Sign Language

被引:34
|
作者
Sehyr, Zed Sevcikova [1 ]
Caselli, Naomi [2 ]
Cohen-Goldberg, Ariel M. [3 ]
Emmorey, Karen [1 ]
机构
[1] San Diego State Univ, San Diego, CA 92120 USA
[2] Boston Univ, Boston, MA 02215 USA
[3] Tufts Univ, Medford, MA 02155 USA
来源
基金
美国国家科学基金会; 美国国家卫生研究院;
关键词
NEIGHBORHOOD ACTIVATION; FREQUENCY; ICONICITY; ACCESS; ARBITRARINESS;
D O I
10.1093/deafed/enaa038
中图分类号
G76 [特殊教育];
学科分类号
040109 ;
摘要
ASL-LEX is a publicly available, large-scale lexical database for American Sign Language (ASL). We report on the expanded database (ASL-LEX 2.0) that contains 2,723 ASL signs. For each sign, ASL-LEX now includes a more detailed phonological description, phonological density and complexity measures, frequency ratings (from deaf signers), iconicity ratings (from hearing non-signers and deaf signers), transparency ("guessability") ratings (from non-signers), sign and videoclip durations, lexical class, and more. We document the steps used to create ASL-LEX 2.0 and describe the distributional characteristics for sign properties across the lexicon and examine the relationships among lexical and phonological properties of signs. Correlation analyses revealed that frequent signs were less iconic and phonologically simpler than infrequent signs and iconic signs tended to be phonologically simpler than less iconic signs. The complete ASL-LEX dataset and supplementary materials are available at https://osf.io/zpha4/ and an interactive visualization of the entire lexicon can be accessed on the ASL-LEX page: http://asl-lex.org/.
引用
收藏
页码:263 / 277
页数:15
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  • [1] ASL-LEX: A lexical database of American Sign Language
    Caselli, Naomi K.
    Sehyr, Zed Sevcikova
    Cohen-Goldberg, Ariel M.
    Emmorey, Karen
    [J]. BEHAVIOR RESEARCH METHODS, 2017, 49 (02) : 784 - 801
  • [2] ASL-LEX: A lexical database of American Sign Language
    Naomi K. Caselli
    Zed Sevcikova Sehyr
    Ariel M. Cohen-Goldberg
    Karen Emmorey
    [J]. Behavior Research Methods, 2017, 49 : 784 - 801
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