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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5 6 7...690 Hits 41 – 60 of 13.783 41 学習を認知・情意・精神運動の領域で捉える提案 : より見通しのきく日本語教育Can-do記述に向けて 鈴木 美加; Mika SUZUKI. - : 国立国語研究所, 2022 BASE Show details 42 Mono vs Multilingual BERT: A Case Study in Hindi and Marathi Named Entity Recognition ... Litake, Onkar; Sabane, Maithili; Patil, Parth. - : arXiv, 2022 BASE Show details 43 Informative Causality Extraction from Medical Literature via Dependency-tree based Patterns ... Kabir, Md. Ahsanul; Almulhim, AlJohara; Luo, Xiao. - : arXiv, 2022 BASE Show details 44 TOTAL PHYSICAL RESPONSE (TPR) IS THE MOST EFFECTIVE METHOD FOR LEARNING FOREIGN LANGUAGES ... To'layeva Kamola Usmanovna; Mamayeva Nargiz Norqobilovna; Shomurodova Nodira Xaitmurodovna. - : Zenodo, 2022 BASE Show details 45 L'alternance Codique Dans Des Interactions En Classe De Français Langue Étrangère : Le Cycle Secondaire Qualifiant ... Khadeir, Amal. - : Zenodo, 2022 BASE Show details 46 TOTAL PHYSICAL RESPONSE (TPR) IS THE MOST EFFECTIVE METHOD FOR LEARNING FOREIGN LANGUAGES ... To'layeva Kamola Usmanovna; Mamayeva Nargiz Norqobilovna; Shomurodova Nodira Xaitmurodovna. - : Zenodo, 2022 BASE Show details 47 L'alternance Codique Dans Des Interactions En Classe De Français Langue Étrangère : Le Cycle Secondaire Qualifiant ... Khadeir, Amal. - : Zenodo, 2022 BASE Show details 48 THE USE OF INFORMATION TECHNOLOGY IN THE PROCESS OF ASSESSMENTS OF LEGAL TERMINOLOGY ... Mirgiyazova Munisa Mirusmanovna. - : Zenodo, 2022 BASE Show details 49 VERNACULAR LITERACY AND ITS CONTRADICTIONS ... MATOS, Alexandra Gomes dos Santos. - : Zenodo, 2022 BASE Show details 50 Source Code for Youtube dataset processing ... TURENNE, Nicolas. - : Zenodo, 2022 BASE Show details 51 Source Code for Youtube dataset processing ... TURENNE, Nicolas. - : Zenodo, 2022 BASE Show details 52 THE USE OF INFORMATION TECHNOLOGY IN THE PROCESS OF ASSESSMENTS OF LEGAL TERMINOLOGY ... Mirgiyazova Munisa Mirusmanovna. - : Zenodo, 2022 BASE Show details 53 VERNACULAR LITERACY AND ITS CONTRADICTIONS ... MATOS, Alexandra Gomes dos Santos. - : Zenodo, 2022 BASE Show details 54 Intoxication and pitch control in tonal and non-tonal language speakers ... Chang, Charles. - : Open Science Framework, 2022 BASE Show details 55 Materials for Tang et al. (2022) ... Chang, Charles. - : Open Science Framework, 2022 BASE Show details 56 Dataset for Tang et al. (2022) ... Chang, Charles. - : Open Science Framework, 2022 BASE Show details 57 COLORINCO ... , Caudrelier. - : Open Science Framework, 2022 BASE Show details 58 WLASL-LEX: a Dataset for Recognising Phonological Properties in American Sign Language ... Tavella, Federico; Schlegel, Viktor; Romeo, Marta. - : arXiv, 2022 BASE Show details 59 A Transformer-Based Contrastive Learning Approach for Few-Shot Sign Language Recognition ... Ferreira, Silvan; Costa, Esdras; Dahia, Márcio. - : arXiv, 2022 BASE Show details 60 Including Facial Expressions in Contextual Embeddings for Sign Language Generation ... Viegas, Carla; İnan, Mert; Quandt, Lorna; Alikhani, Malihe. - : arXiv, 2022 Abstract: State-of-the-art sign language generation frameworks lack expressivity and naturalness which is the result of only focusing manual signs, neglecting the affective, grammatical and semantic functions of facial expressions. The purpose of this work is to augment semantic representation of sign language through grounding facial expressions. We study the effect of modeling the relationship between text, gloss, and facial expressions on the performance of the sign generation systems. In particular, we propose a Dual Encoder Transformer able to generate manual signs as well as facial expressions by capturing the similarities and differences found in text and sign gloss annotation. We take into consideration the role of facial muscle activity to express intensities of manual signs by being the first to employ facial action units in sign language generation. We perform a series of experiments showing that our proposed model improves the quality of automatically generated sign language. ... Keyword: Computation and Language cs.CL; Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences; Machine Learning cs.LG URL: https://arxiv.org/abs/2202.05383 https://dx.doi.org/10.48550/arxiv.2202.05383 BASE Hide details Page: 1 2 3 4 5 6 7...690

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