The results indicated that the age when the participant learned ASL mattered on how well they were able to sign classifiers and perform role shifting correctly. Age of acquisition did not seem to be the only correlation however; other factors such as attitude, socialization and environment seemed...
Sentence structure, classifiers, and the use of idioms Fingerspelling and expressing emotions through sign language Discussing places, countries, states, and agent signs. ChannelASL Rochelle ProviderRochelle InstructorYouTube LevelBeginner Workload3 hours ...
ASL - American Sign Language: free, self-study sign language lessons including an ASL dictionary, signing videos, a printable sign language alphabet chart (fingerspelling), Deaf Culture study materials, and resources to help you learn sign language. Good
The article presents a dissertation which explores the nature of object marking in American Sign Language (ASL) by investigating the object marking by means of directionality and of handling classifiers. It discusses how one can account for argument marking on a verb within the linguistic system ...
The Acquisition of Classifiers in American Sign Language The purpose of this study was to obtain data on the developmental stages that deaf children pass through in acquiring the adult form of pronominal classifi... R Kantor - 《Sign Language Studies》 被引量: 95发表: 1980年 Sign Perception ...
Diniz et al., (2021) compared three machine learning classifiers the Random Forest (RF); Support Vector Machine (SVM) and Multi-layer Perceptron (MLP), and concluded that RF is the most efficient algorithm to indicate frost. Similar results were obtained by Noh et al. (2021) while ...
Skeletal data and distance descriptors with TreeBag and neural network (NN) classifiers have been utilized to achieve 90.7% accuracy [41]. Another work proposed a recognition system for the sign language alphabet that utilizes geometrical features with an artificial neural network and achieved 96.78% ...
[23] presented ASL letters using LR, k-NN, RF, DNN, and ANN classifiers for double-hand sign language recognition. The overall result of these experiments using cascade voting achieved an accuracy of 98.97%. The system can be useful for finger-spelling/letter signs only. The ASL recognizer ...
Abnormal Cervical Cell Nuclei Identification Using Spatial-Context-Saliency Regions and Two-Level Cascade Classifiers Santiago Tello-Mijares J. Med. Imaging Health Inf. 9, 426–435 (2019)[Abstract] [Full Text - PDF] [Purchase Article] Classifying Cancer Patients Based on DNA Sequences Using Mac...
Performance Comparison of Data Mining Classifiers on Web Log Data Varun Malik, Vikas Rattan, Jaiteg Singh, Ruchi Mittal, and Urvashi Tandon J. Comput. Theor. Nanosci. 17, 5113–5116 (2020)[Abstract] [Full Text - PDF] [Purchase Article] Strategy of Networked Cooperative E-Learning and It...