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Mono vs Multilingual BERT: A Case Study in Hindi and Marathi Named Entity Recognition ...
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Informative Causality Extraction from Medical Literature via Dependency-tree based Patterns ...
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TOTAL PHYSICAL RESPONSE (TPR) IS THE MOST EFFECTIVE METHOD FOR LEARNING FOREIGN LANGUAGES ...
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L'alternance Codique Dans Des Interactions En Classe De Français Langue Étrangère : Le Cycle Secondaire Qualifiant ...
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TOTAL PHYSICAL RESPONSE (TPR) IS THE MOST EFFECTIVE METHOD FOR LEARNING FOREIGN LANGUAGES ...
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L'alternance Codique Dans Des Interactions En Classe De Français Langue Étrangère : Le Cycle Secondaire Qualifiant ...
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THE USE OF INFORMATION TECHNOLOGY IN THE PROCESS OF ASSESSMENTS OF LEGAL TERMINOLOGY ...
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THE USE OF INFORMATION TECHNOLOGY IN THE PROCESS OF ASSESSMENTS OF LEGAL TERMINOLOGY ...
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Intoxication and pitch control in tonal and non-tonal language speakers ...
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WLASL-LEX: a Dataset for Recognising Phonological Properties in American Sign Language ...
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Abstract:
Signed Language Processing (SLP) concerns the automated processing of signed languages, the main means of communication of Deaf and hearing impaired individuals. SLP features many different tasks, ranging from sign recognition to translation and production of signed speech, but has been overlooked by the NLP community thus far. In this paper, we bring to attention the task of modelling the phonology of sign languages. We leverage existing resources to construct a large-scale dataset of American Sign Language signs annotated with six different phonological properties. We then conduct an extensive empirical study to investigate whether data-driven end-to-end and feature-based approaches can be optimised to automatically recognise these properties. We find that, despite the inherent challenges of the task, graph-based neural networks that operate over skeleton features extracted from raw videos are able to succeed at the task to a varying degree. Most importantly, we show that this performance pertains even on ... : Accepted at ACL 2022 main conference ...
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Keyword:
Computation and Language cs.CL; Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences; Machine Learning cs.LG
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URL: https://dx.doi.org/10.48550/arxiv.2203.06096 https://arxiv.org/abs/2203.06096
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A Transformer-Based Contrastive Learning Approach for Few-Shot Sign Language Recognition ...
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Including Facial Expressions in Contextual Embeddings for Sign Language Generation ...
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