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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...23 Hits 1 – 20 of 443 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) BASE Show details 4 Pragmatic particles : findings from Asian languages Kiaer, Jieun. - London : Bloomsbury Academic, 2021 BLLDB UB Frankfurt Linguistik Show details 5 From Sheikh Mujib to the Architect of the Nation: A Study of Father of the Nation by Mohammad Nurul Huda ... Alamgir, Mohammad. - : Zenodo, 2021 BASE Show details 6 From Sheikh Mujib to the Architect of the Nation: A Study of Father of the Nation by Mohammad Nurul Huda ... Alamgir, Mohammad. - : Zenodo, 2021 BASE Show details 7 WALS Online Resources for Bengali : Max Planck Institute for Evolutionary Anthropology, 2021 BASE Show details 8 Glottolog 4.4 Resources for Bengali : Max Planck Institute for Evolutionary Anthropology, 2021 BASE Show details 9 Claim Detection and Matching for Indian Languages ... Ashkan Kazemi; Garimella, Kiran; Gaffney, Devin. - : Zenodo, 2021 BASE Show details 10 Claim Detection and Matching for Indian Languages ... Ashkan Kazemi; Garimella, Kiran; Gaffney, Devin. - : Zenodo, 2021 BASE Show details 11 Aspects of Epenthesis across Bengali Dialects ... Shubha, Naywaz Sharif. - : Zenodo, 2021 BASE Show details 12 Aspects of Epenthesis across Bengali Dialects ... Shubha, Naywaz Sharif. - : Zenodo, 2021 BASE Show details 13 Phonetic_Transfer ... Dutta, Indranil. - : Open Science Framework, 2021 BASE Show details 14 Phonetic_Transfer ... Dutta, Indranil. - : Open Science Framework, 2021 BASE Show details 15 BengaliNet: A Low-Cost Novel Convolutional Neural Network for Bengali Handwritten Characters Recognition Abu Sayeed; Jungpil Shin; Md. Al Mehedi Hasan; Azmain Yakin Srizon; Md. Mehedi Hasan In: Applied Sciences ; Volume 11 ; Issue 15 (2021) Abstract: As it is the seventh most-spoken language and fifth most-spoken native language in the world, the domain of Bengali handwritten character recognition has fascinated researchers for decades. Although other popular languages i.e., English, Chinese, Hindi, Spanish, etc. have received many contributions in the area of handwritten character recognition, Bengali has not received many noteworthy contributions in this domain because of the complex curvatures and similar writing fashions of Bengali characters. Previously, studies were conducted by using different approaches based on traditional learning, and deep learning. In this research, we proposed a low-cost novel convolutional neural network architecture for the recognition of Bengali characters with only 2.24 to 2.43 million parameters based on the number of output classes. We considered 8 different formations of CMATERdb datasets based on previous studies for the training phase. With experimental analysis, we showed that our proposed system outperformed previous works by a noteworthy margin for all 8 datasets. Moreover, we tested our trained models on other available Bengali characters datasets such as Ekush, BanglaLekha, and NumtaDB datasets. Our proposed architecture achieved 96–99% overall accuracies for these datasets as well. We believe our contributions will be beneficial for developing an automated high-performance recognition tool for Bengali handwritten characters. Keyword: banglalekha dataset; bengali handwritten character recognition; CMATERdb dataset; computer vision; dropout; ekush dataset; low-cost convolutional neural network; NumtaDB dataset; pattern recognition; supervised learning URL: https://doi.org/10.3390/app11156845 BASE Hide details 16 Using Machine Learning to Detect Events on the Basis of Bengali and Banglish Facebook Posts Noyon Dey; Md. Sazzadur Rahman; Motahara Sabah Mredula... In: Electronics ; Volume 10 ; Issue 19 (2021) BASE Show details 17 Bangla Bengali sentiment lexicon dictionary with positive and negative words ... Sazzed, Salim. - : Mendeley, 2021 BASE Show details 18 Bangla Bengali sentiment lexicon dictionary with positive and negative words ... Sazzed, Salim. - : Mendeley, 2021 BASE Show details 19 Bangla Bengali sentiment lexicon dictionary with positive and negative words ... Sazzed, Salim. - : Mendeley, 2021 BASE Show details 20 Semantic context effects in monolingual and bilingual speakers Patra, Abhijeet; Bose, Arpita; Marinis, Theodoros In: Journal of Neurolinguistics ; 57 (2021). - 100942. - Elsevier. - ISSN 0911-6044. - eISSN 1873-8052 (2021) BASE Show details Page: 1 2 3 4 5...23

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