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A Neural Pairwise Ranking Model for Readability Assessment ...
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SMDT: Selective Memory-Augmented Neural Document Translation ...
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CausalKG: Causal Knowledge Graph Explainability using interventional and counterfactual reasoning ...
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Learn from Structural Scope: Improving Aspect-Level Sentiment Analysis with Hybrid Graph Convolutional Networks ...
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Learning the Ordering of Coordinate Compounds and Elaborate Expressions in Hmong, Lahu, and Chinese ...
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Deep Neural Convolutive Matrix Factorization for Articulatory Representation Decomposition ...
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Modeling Intensification for Sign Language Generation: A Computational Approach ...
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A Transformer-Based Contrastive Learning Approach for Few-Shot Sign Language Recognition ...
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Open Source HamNoSys Parser for Multilingual Sign Language Encoding ...
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Abstract:
This paper presents our recent developments in the field of automatic processing of sign language corpora using the Hamburg Sign Language Annotation System (HamNoSys). We designed an automated tool to convert HamNoSys annotations into numerical labels for defined initial features of body and hand positions. Our proposed numerical multilabels greatly simplify the structure of HamNoSys annotation without significant loss of gloss meaning. These numerical multilabels can potentially be used to feed the machine learning models, which would accelerate the development of vision-based sign language recognition. In addition, this tool can assist experts in the annotation process to help identify semantic errors. The code and sample annotations are publicly available at https://github.com/hearai/parse-hamnosys. ... : 6 pages, 3 figures, 3 tables ...
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Keyword:
Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.2204.06924 https://arxiv.org/abs/2204.06924
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A Comprehensive Review of Sign Language Recognition: Different Types, Modalities, and Datasets ...
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Sign Language Video Retrieval with Free-Form Textual Queries ...
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Sign Language Recognition System using TensorFlow Object Detection API ...
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pNLP-Mixer: an Efficient all-MLP Architecture for Language ...
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Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments ...
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Cross-Lingual Text-to-Speech Using Multi-Task Learning and Speaker Classifier Joint Training ...
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Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation ...
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Sememe Prediction for BabelNet Synsets using Multilingual and Multimodal Information ...
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Multilingual Mix: Example Interpolation Improves Multilingual Neural Machine Translation ...
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