A4 Vertaisarvioitu artikkeli konferenssijulkaisussa

Automatic Gloss Dictionary for Sign Language Learners




TekijätXu Chengcheng, Li Dongxu, Li Hongdong, Suominen Hanna, Swift Ben

ToimittajaValerio Basile, Zornitsa Kozareva, Sanja Stajner

Konferenssin vakiintunut nimiAnnual Meeting of the Association for Computational Linguistics

Julkaisuvuosi2022

JournalAnnual Meeting of the Association for Computational Linguistics

Kokoomateoksen nimiProceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations

Tietokannassa oleva lehden nimiPROCEEDINGS OF THE 60TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2022): PROCEEDINGS OF SYSTEM DEMONSTRATIONS

Aloitussivu83

Lopetussivu92

Sivujen määrä10

ISBN978-1-955917-24-7

DOIhttps://doi.org/10.18653/v1/2022.acl-demo.8

Verkko-osoitehttps://aclanthology.org/2022.acl-demo.8/

Rinnakkaistallenteen osoitehttps://research.utu.fi/converis/portal/detail/Publication/176263613


Tiivistelmä
A multi-language dictionary is a fundamental tool for language learning, allowing the learner to look up unfamiliar words. Searching an unrecognized word in the dictionary does not usually require deep knowledge of the target language. However, this is not true for sign language, where gestural elements preclude this type of easy lookup. This paper introduces GlossFinder, an online tool supporting 2, 000 signs to assist language learners in determining the meaning of given signs. Unlike alternative systems of complex inputs, our system requires only that learners imitate the sign in front of a standard webcam. A user study conducted among sign language speakers of varying ability compared our system against existing alternatives and the interviews indicated a clear preference for our new system. This implies that GlossFinder can lower the barrier in sign language learning by addressing the common problem of sign finding and make it accessible to the wider community.

Ladattava julkaisu

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Last updated on 2024-26-11 at 19:58