Results 11 to 20 of about 46,711 (261)
This research introduces a foundational framework aimed at bridging the communication gap between American Sign Language (ASL) and Indian Sign Language (ISL) by translating alphabet-level gestures. The proposed system employs a hybrid deep learning model
Malay Kumar +4 more
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Phonology Recognition in American Sign Language
Inspired by recent developments in natural language processing, we propose a novel approach to sign language processing based on phonological properties validated by American Sign Language users. By taking advantage of datasets composed of phonological data and people speaking sign language, we use a pretrained deep model based on mesh reconstruction ...
Federico Tavella +2 more
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Fingerspelling Detection in American Sign Language [PDF]
Fingerspelling, in which words are signed letter by letter, is an important component of American Sign Language. Most previous work on automatic fingerspelling recognition has assumed that the boundaries of fingerspelling regions in signing videos are known beforehand.
Bowen Shi 0002 +3 more
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Timelines and Temporal Pointing in Chinese Sign Language
We argue that Chinese Sign Language (CSL) provides new insights into temporal anaphora, as well as new puzzles. Partee (1973) showed that temporal talk in English involves abstract anaphoric mechanisms akin to pronouns, although with a very different ...
Hao Lin +3 more
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Revisiting gradability in American Sign Language (ASL)
This paper addresses gradability in American Sign Language (ASL). The literature has argued that languages may or may not introduce degree variables, i.e., there is cross-linguistic variation as to whether languages should be analyzed as degree- or ...
Christopher Kurz +3 more
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Sign lowering and phonetic reduction in American Sign Language [PDF]
This study examines sign lowering as a form of phonetic reduction in American Sign Language. Phonetic reduction occurs in the course of normal language production, when instead of producing a carefully articulated form of a word, the language user produces a less clearly articulated form. When signs are produced in context by native signers, they often
Martha E. Tyrone, Claude E. Mauk
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American Sign Language Recognition Combining with Bi-2DPCA and CNN [PDF]
The existing algorithms for American Sign Language(ASL) recognition are limited in the recognition accuracy, and require much time for model training.To address the problem, a Bayesian Optimization(BO)-based algorithm that combines Bidirectional Two ...
YANG Mingyu, YE Chunming
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Fluency in American Sign Language [PDF]
I used two experimental designs to investigate the perception of fluency by native Deaf signers. In experiment 1, seven native signers described the signing ability of other native signers judged to have a wide range of signing ability. The judges provided numerical ratings and descriptions of signing skill.
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Action Recognition for American Sign Language
2 ...
Nguyen Huu Phong, Bernardete Ribeiro
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Considerable evidence now shows that all languages, signed and spoken, exhibit a significant amount of iconicity. We examined how the visual-gestural modality of signed languages facilitates iconicity for different kinds of lexical meanings compared to ...
Marcus Perlman +3 more
doaj +1 more source

