Structure and Grammaticalization of Serial Verb Constructions in Sign Language of the Netherlands—A Corpus-Based Study by Sascha Couvee, Roland Pfau

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Decomposing spontaneous sign language into elementary movements: A principal component analysis-based approach. by Félix Bigand, Elise Prigent, Bastien Berret, Annelies Braffort

“…Sign Language (SL) is a continuous and complex stream of multiple body movement features. …”
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Grey Wolf Optimization-based Neural Network for Deaf and Mute Sign Language Recognition: Survey by Hussein Zahraa A., Mosa Qusay O., Hussein Hammadi Alaa

“…Recognizing sign language is one of the most challenging tasks of our time. …”
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Image-Based Arabic Sign Language Recognition System Using Transfer Deep Learning Models by Qanita Bani Baker, Nour Alqudah, Tibra Alsmadi, Rasha Awawdeh

“…Sign language is a unique communication tool helping to bridge the gap between people with hearing impairments and the general public. …”
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STFE-Net: A Spatial-Temporal Feature Extraction Network for Continuous Sign Language Translation by Jiwei Hu, Yunfei Liu, Kin-Man Lam, Ping Lou

Subjects: “…Continuous sign language translation…”
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Development of an End-to-End Deep Learning Framework for Sign Language Recognition, Translation, and Video Generation by B. Natarajan, E. Rajalakshmi, R. Elakkiya, Ketan Kotecha, Ajith Abraham, Lubna Abdelkareim Gabralla, V. Subramaniyaswamy

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Continuous word level sign language recognition using an expert system based on machine learning by R Sreemathy, MP Turuk, S Chaudhary, K Lavate, A Ushire, S Khurana

Subjects: “…Sign language recognition…”
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Hand Gesture Recognition of Static Letters American Sign Language (ASL) Using Deep Learning by Abdulwahab Abdulhussein, Firas Raheem

“…An American Sign Language (ASL) is a complex language. It is depending on the special gesture stander of marks. …”
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Sign Language Recognition Using Two-Stream Convolutional Neural Networks with Wi-Fi Signals by Chien-Cheng Lee, Zhongjian Gao

Subjects: “…sign language recognition (SLR)…”
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Exploring Sign Language Detection on Smartphones: A Systematic Review of Machine and Deep Learning Approaches by Iftikhar Alam, Abdul Hameed, Riaz Ahmad Ziar

“…Hence, these individuals heavily depend on the sign language (a gesture-based communication) method, typically involving hand movements and expressions. …”
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DCA‐based unimodal feature‐level fusion of orthogonal moments for Indian sign language dataset by Garima Joshi, Renu Vig, Sukhwinder Singh

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Automated sign language detection and classification using reptile search algorithm with hybrid deep learning by Hadeel Alsolai, Leen Alsolai, Fahd N. Al-Wesabi, Mahmoud Othman, Mohammed Rizwanullah, Amgad Atta Abdelmageed

Subjects: “…Sign language…”
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Development of Sign Language Motion Recognition System for Hearing-Impaired People Using Electromyography Signal by Shigeyuki Tateno, Hongbin Liu, Junhong Ou

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Signgraph: An Efficient and Accurate Pose-Based Graph Convolution Approach Toward Sign Language Recognition by Neelma Naz, Hasan Sajid, Sara Ali, Osman Hasan, Muhammad Khurram Ehsan

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An Efficient Two-Stream Network for Isolated Sign Language Recognition Using Accumulative Video Motion by Hamzah Luqman

Subjects: “…Sign language recognition…”
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Novel Spatio-Temporal Continuous Sign Language Recognition Using an Attentive Multi-Feature Network by Wisnu Aditya, Timothy K. Shih, Tipajin Thaipisutikul, Arda Satata Fitriajie, Munkhjargal Gochoo, Fitri Utaminingrum, Chih-Yang Lin

Subjects: “…continuous sign language…”
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Comparison of Four SVM Classifiers Used with Depth Sensors to Recognize Arabic Sign Language Words by Miada A. Almasre, Hana Al-Nuaim

“…The objective of this research was to recognize the hand gestures of Arabic Sign Language (ArSL) words using two depth sensors. The researchers developed a model to examine 143 signs gestured by 10 users for 5 ArSL words (the dataset). …”
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Translation between written spanish and video-recorded uruguayan sign language: a new challenge by Leonardo Peluso

“…This paper deals with the concept of deferred textuality which is more comprehensive than writing, as it allows the inclusion of sign language video-recordings. If one considers that  sign language video-recordings are deferred textuality, it can also be argued that  a literate culture can be developed around them, understood as the culture built around deferred textuality and the social and institutional practices they spawn. …”
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Cognitive Metaphors Used in Colombian Sign Language in Five Autobiographical Stories and the Image Schemata They Are Related to by Yenny Rodríguez Hernández

“…This paper reports the results of an exploratory study whose purpose was to identify and characterize the metaphors in a sample of five videos in Colombian sign language (in Spanish, lsc).The data were analyzed using theoretical contributions from Lakoff and Johnson’s theories (1980) about cognitive metaphors and image schemata, and from Wilcox (2000) and Taub (2001) on double mapping in sign language. …”
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Word Formation below and above Little x: <br>Evidence from Sign Language of the Netherlands by Inge Zwitserlood

Subjects: “…Sign Language…”
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