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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...10 Hits 1 – 20 of 194 1 Universal Segmentations 1.0 (UniSegments 1.0) Žabokrtský, Zdeněk; Bafna, Nyati; Bodnár, Jan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2022 BASE Show details 2 LINGUIST List Resources for Bengali Damir Cavar, eLinguistics Foundation Board Member; Malgorzata E. Cavar, Director of Linguist List. - : The LINGUIST List (www.linguistlist.org), 2022 BASE Show details 3 BenSignNet: Bengali Sign Language Alphabet Recognition Using Concatenated Segmentation and Convolutional Neural Network Abu Saleh Musa Miah; Jungpil Shin; Md Al Mehedi Hasan; Md Abdur Rahim In: Applied Sciences; Volume 12; Issue 8; Pages: 3933 (2022) Abstract: Sign language recognition is one of the most challenging applications in machine learning and human-computer interaction. Many researchers have developed classification models for different sign languages such as English, Arabic, Japanese, and Bengali; however, no significant research has been done on the general-shape performance for different datasets. Most research work has achieved satisfactory performance with a small dataset. These models may fail to replicate the same performance for evaluating different and larger datasets. In this context, this paper proposes a novel method for recognizing Bengali sign language (BSL) alphabets to overcome the issue of generalization. The proposed method has been evaluated with three benchmark datasets such as ‘38 BdSL’, ‘KU-BdSL’, and ‘Ishara-Lipi’. Here, three steps are followed to achieve the goal: segmentation, augmentation, and Convolutional neural network (CNN) based classification. Firstly, a concatenated segmentation approach with YCbCr, HSV and watershed algorithm was designed to accurately identify gesture signs. Secondly, seven image augmentation techniques are selected to increase the training data size without changing the semantic meaning. Finally, the CNN-based model called BenSignNet was applied to extract the features and classify purposes. The performance accuracy of the model achieved 94.00%, 99.60%, and 99.60% for the BdSL Alphabet, KU-BdSL, and Ishara-Lipi datasets, respectively. Experimental findings confirmed that our proposed method achieved a higher recognition rate than the conventional ones and accomplished a generalization property in all datasets for the BSL domain. Keyword: 38-BdSL; Bengali sign language (BSL); concatenated segmentation; Convolutional neural network (CNN); Hue saturation value (HSV); Ishara-Lipi; KU-BdSL; Luminance blue red (YCbCr) URL: https://doi.org/10.3390/app12083933 BASE Hide details 4 WALS Online Resources for Bengali : Max Planck Institute for Evolutionary Anthropology, 2021 BASE Show details 5 Glottolog 4.4 Resources for Bengali : Max Planck Institute for Evolutionary Anthropology, 2021 BASE Show details 6 Aspects of Epenthesis across Bengali Dialects ... Shubha, Naywaz Sharif. - : Zenodo, 2021 BASE Show details 7 Aspects of Epenthesis across Bengali Dialects ... Shubha, Naywaz Sharif. - : Zenodo, 2021 BASE Show details 8 Bangla Bengali sentiment lexicon dictionary with positive and negative words ... Sazzed, Salim. - : Mendeley, 2021 BASE Show details 9 Bangla Bengali sentiment lexicon dictionary with positive and negative words ... Sazzed, Salim. - : Mendeley, 2021 BASE Show details 10 Bangla Bengali sentiment lexicon dictionary with positive and negative words ... Sazzed, Salim. - : Mendeley, 2021 BASE Show details 11 Love me for the Sake of the World: “Goddess Songs” in Tantric Buddhist Maṇḍala Rituals Stephenson In: Religions ; Volume 11 ; Issue 3 (2020) BASE Show details 12 PHOIBLE 2.0 phonemic inventories for Bengali : Max Planck Institute for the Science of Human History, 2019 BASE Show details 13 Marginalization of Native Language: An Effect of English Language Globalization in Bangladesh ... Rahman, Muhammad Mushfiqur; Lah, Salasiah Che. - : Zenodo, 2019 BASE Show details 14 Marginalization of Native Language: An Effect of English Language Globalization in Bangladesh ... Rahman, Muhammad Mushfiqur; Lah, Salasiah Che. - : Zenodo, 2019 BASE Show details 15 Histoire de l'âne en bengali Farah, Hélène; El Ayari, Sarra; Khan, Hassan. - : Structures formelles du langage, 2019 BASE Show details 16 Interactions de base en bengali Farah, Hélène; El Ayari, Sarra; Khan, Hassan. - : Structures formelles du langage, 2019 BASE Show details 17 Lexique Swadesh en bengali Farah, Hélène; El Ayari, Sarra; Khan, Hassan. - : Structures formelles du langage, 2019 BASE Show details 18 Lexique Swadesh en bengali Farah, Hélène; El Ayari, Sarra; Khan, Hassan. - : Structures formelles du langage, 2019 BASE Show details 19 Interactions de base en bengali Farah, Hélène; El Ayari, Sarra; Khan, Hassan. - : Structures formelles du langage, 2019 BASE Show details 20 Bangla Real Number Audio Dataset ... Nahid, Md Mahadi Hasan. - : Mendeley, 2018 BASE Show details Page: 1 2 3 4 5...10

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