DE eng

Search in the Catalogues and Directories

Page: 1 2 3 4 5 6 7...150
Hits 41 – 60 of 2.986

41
Improve Sentence Alignment by Divide-and-conquer ...
Zhang, Wu. - : arXiv, 2022
BASE
Show details
42
A Neural Pairwise Ranking Model for Readability Assessment ...
Lee, Justin; Vajjala, Sowmya. - : arXiv, 2022
BASE
Show details
43
SMDT: Selective Memory-Augmented Neural Document Translation ...
Zhang, Xu; Yang, Jian; Huang, Haoyang. - : arXiv, 2022
BASE
Show details
44
CausalKG: Causal Knowledge Graph Explainability using interventional and counterfactual reasoning ...
Jaimini, Utkarshani; Sheth, Amit. - : arXiv, 2022
BASE
Show details
45
Learn from Structural Scope: Improving Aspect-Level Sentiment Analysis with Hybrid Graph Convolutional Networks ...
BASE
Show details
46
Learning the Ordering of Coordinate Compounds and Elaborate Expressions in Hmong, Lahu, and Chinese ...
BASE
Show details
47
Deep Neural Convolutive Matrix Factorization for Articulatory Representation Decomposition ...
BASE
Show details
48
Modeling Intensification for Sign Language Generation: A Computational Approach ...
BASE
Show details
49
A Transformer-Based Contrastive Learning Approach for Few-Shot Sign Language Recognition ...
BASE
Show details
50
Open Source HamNoSys Parser for Multilingual Sign Language Encoding ...
BASE
Show details
51
A Comprehensive Review of Sign Language Recognition: Different Types, Modalities, and Datasets ...
Abstract: A machine can understand human activities, and the meaning of signs can help overcome the communication barriers between the inaudible and ordinary people. Sign Language Recognition (SLR) is a fascinating research area and a crucial task concerning computer vision and pattern recognition. Recently, SLR usage has increased in many applications, but the environment, background image resolution, modalities, and datasets affect the performance a lot. Many researchers have been striving to carry out generic real-time SLR models. This review paper facilitates a comprehensive overview of SLR and discusses the needs, challenges, and problems associated with SLR. We study related works about manual and non-manual, various modalities, and datasets. Research progress and existing state-of-the-art SLR models over the past decade have been reviewed. Finally, we find the research gap and limitations in this domain and suggest future directions. This review paper will be helpful for readers and researchers to get complete ... : communicated to the Computer Science Review (Elsevier) status With Editor ...
Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2204.03328
https://arxiv.org/abs/2204.03328
BASE
Hide details
52
Sign Language Video Retrieval with Free-Form Textual Queries ...
BASE
Show details
53
Sign Language Recognition System using TensorFlow Object Detection API ...
BASE
Show details
54
pNLP-Mixer: an Efficient all-MLP Architecture for Language ...
BASE
Show details
55
ParaNames: A Massively Multilingual Entity Name Corpus ...
BASE
Show details
56
Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments ...
BASE
Show details
57
Cross-Lingual Text-to-Speech Using Multi-Task Learning and Speaker Classifier Joint Training ...
Yang, J.; He, Lei. - : arXiv, 2022
BASE
Show details
58
Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation ...
Chen, Liang; Xu, Runxin; Chang, Baobao. - : arXiv, 2022
BASE
Show details
59
Sememe Prediction for BabelNet Synsets using Multilingual and Multimodal Information ...
BASE
Show details
60
Multilingual Mix: Example Interpolation Improves Multilingual Neural Machine Translation ...
BASE
Show details

Page: 1 2 3 4 5 6 7...150

Catalogues
0
0
0
0
0
0
0
Bibliographies
0
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
2.986
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern