Idioms and other constructions in American Sign Language by Lepic Ryan

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Mamba vision models: Automated American sign language recognition by Ali Salem Altaher, Chiron Bang, Bader Alsharif, Ahmed Altaher, Munid Alanazi, Hasan Altaher, Hanqi Zhuang

Subjects: “…American sign language…”
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Choice of handshape and classifier type in placement verbs in American Sign Language by Frederiksen Anne Therese

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Vision-Based American Sign Language Classification Approach via Deep Learning by Nelly Elsayed

Subjects: “…american sign language…”
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Delivery in American Sign Language interpreting: A case study of The Circle USA by Zeynep Melissa Seyfioglu

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Real-Time American Sign Language Interpretation Using Deep Learning and Keypoint Tracking by Bader Alsharif, Easa Alalwany, Ali Ibrahim, Imad Mahgoub, Mohammad Ilyas

“…This study presents a real-time American Sign Language (ASL) interpretation system that integrates deep learning with keypoint tracking to enhance accessibility and foster inclusivity. …”
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Better letter: iconicity in the manual alphabets of American Sign Language and Swedish Sign Language by Carl Börstell

“…In this article, I investigate the subjective nature of iconicity through an experiment in which 72 deaf, hard-of-hearing and hearing (signing and non-signing) participants rate the iconicity of individual letters of the American Sign Language (ASL) and Swedish Sign Language (STS) manual alphabets. …”
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Recognizing American Sign Language gestures efficiently and accurately using a hybrid transformer model by Mohammed Aly, Islam S. Fathi

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Transfer learning with YOLOV8 for real-time recognition system of American Sign Language Alphabet by Bader Alsharif, Easa Alalwany, Mohammad Ilyas

Subjects: “…American Sign Language…”
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Formal and functional factors in classifier choice: Evidence from American Sign Language and Danish Sign Language by Engberg-Pedersen Elisabeth, Brentari Diane K., Davis Jeffery

“…In this article, we examine phonological and semantic factors that influence the choice of classifier in elicited narratives in two sign languages, Danish Sign Language and American Sign Language. An analysis of classifiers expressed by handshapes of different phonological complexity shows quantitative differences between the two languages, but no influence on the choice of classifier depending on their phonological features. …”
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From pixels to letters: A high-accuracy CPU-real-time American Sign Language detection pipeline by Jonas Rheiner, Daniel Kerger, Matthias Drüppel

Subjects: “…American Sign Language…”
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American Sign Language Recognition Model Using Complex Zernike Moments and Complex-Valued Deep Neural Networks by Selda Bayrak, Vasif Nabiyev, Celal Atalar

“…In this context, a model is developed for recognizing American sign language. In the developed model, complex Zernike moments are used to obtain the feature vector of character images. …”
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Identifying age related acquisition of ASL in DCDP and DCHP and identifying profiles of deaf language learners using the American Sign Language Assessment Instrument (ASLAI) by R. Hoffmeister, R. Novogrodsky, S. Fish, R. Benedict, J. Henner, P. Rosenberg

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The Structure and Geography of the ASL Signing Community in the Mid-Nineteenth Century: The Hartford Gatherings of 1850 and 1854 by Justin M. Power, Richard P. Meier

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Sign language detection dataset: A resource for AI-based recognition systemsMendeley Data by Bindu Garg, Manisha Kasar, Priyanka Paygude, Amol Dhumane, Srinivas Ambala, Jitendra Rajpurohit, Abhay Sharma, Vidula Meshram, Amber Vats, Achyut Kashyap

Subjects: “…American Sign Language…”
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A novel model for expanding horizons in sign Language recognition by Esraa Hassan, Mahmoud Y. Shams, Tarek Abd El-Hafeez, Marwa Elseddik

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The ASL Dataset for Real-Time Recognition and Integration with LLM Services by Michał Chwesiuk, Piotr Popis

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Early Access to Sign Language Boosts the Development of Serial Working Memory in Deaf and Hard-of-Hearing Children by Brennan P. Terhune-Cotter, Matthew W. G. Dye

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Diachronic changes the Nicaraguan sign language classifier system: Semantic and phonological factors by Davis Jeffery, Brentari Diane

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Bilingual Sign Language Recognition: A YOLOv11-Based Model for Bangla and English Alphabets by Nawshin Navin, Fahmid Al Farid, Raiyen Z. Rakin, Sadman S. Tanzim, Mashrur Rahman, Shakila Rahman, Jia Uddin, Hezerul Abdul Karim

Subjects: “…American Sign Language (ASL)…”
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