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DeepL et Google Translate face à l'ambiguïté phraséologique
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In: https://hal.archives-ouvertes.fr/hal-03583995 ; 2022 (2022)
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VEREINDEUTIGUNG ZUR KLASSIFIZIERUNG LEXIKALISCHER OBJEKTE ; DISAMBIGUATION FOR THE CLASSIFICATION OF LEXICAL ITEMS ; DÉSAMBÏGUISATION POUR LA CLASSIFICATION DE LEXÈMES
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In: https://hal.archives-ouvertes.fr/hal-03598242 ; France, Patent n° : EP3937059A1. 2022 (2022)
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A New Amharic Speech Emotion Dataset and Classification Benchmark ...
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LPC Augment: An LPC-Based ASR Data Augmentation Algorithm for Low and Zero-Resource Children's Dialects ...
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Automatic Dialect Density Estimation for African American English ...
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Multi-View Spatial-Temporal Network for Continuous Sign Language Recognition ...
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Abstract:
Sign language is a beautiful visual language and is also the primary language used by speaking and hearing-impaired people. However, sign language has many complex expressions, which are difficult for the public to understand and master. Sign language recognition algorithms will significantly facilitate communication between hearing-impaired people and normal people. Traditional continuous sign language recognition often uses a sequence learning method based on Convolutional Neural Network (CNN) and Long Short-Term Memory Network (LSTM). These methods can only learn spatial and temporal features separately, which cannot learn the complex spatial-temporal features of sign language. LSTM is also difficult to learn long-term dependencies. To alleviate these problems, this paper proposes a multi-view spatial-temporal continuous sign language recognition network. The network consists of three parts. The first part is a Multi-View Spatial-Temporal Feature Extractor Network (MSTN), which can directly extract the ... : 12 pages, 4 figures ...
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Keyword:
Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences; I.2.7; I.2.10
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URL: https://dx.doi.org/10.48550/arxiv.2204.08747 https://arxiv.org/abs/2204.08747
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Exploring Sub-skeleton Trajectories for Interpretable Recognition of Sign Language ...
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Improving Persian Relation Extraction Models by Data Augmentation ...
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Russian SuperGLUE 1.1: Revising the Lessons not Learned by Russian NLP models ...
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Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual Retrieval ...
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Politics and Virality in the Time of Twitter: A Large-Scale Cross-Party Sentiment Analysis in Greece, Spain and United Kingdom ...
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Tackling data scarcity in speech translation using zero-shot multilingual machine translation techniques ...
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A new approach to calculating BERTScore for automatic assessment of translation quality ...
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Emergent Communication for Understanding Human Language Evolution: What's Missing? ...
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A Feasibility Study of Answer-Agnostic Question Generation for Education ...
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Computational historical linguistics and language diversity in South Asia ...
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A Slot Is Not Built in One Utterance: Spoken Language Dialogs with Sub-Slots ...
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