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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... In: Applied Sciences ; Volume 11 ; Issue 15 (2021) BASE Show 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; A. S. M. Sanwar Hosen; In-Ho Ra In: Electronics ; Volume 10 ; Issue 19 (2021) Abstract: In modern times, ensuring social security has become the prime concern for security administrators. The widespread and recurrent use of social media sites is creating a huge risk for the lives of the general people, as these sites are frequently becoming potential sources of the organization of various types of immoral events. For protecting society from these dangers, a prior detection system which can effectively detect events by analyzing these social media data is essential. However, automating the process of event detection has been difficult, as existing processes must account for diverse writing styles, languages, dialects, post lengths, and et cetera. To overcome these difficulties, we developed an effective model for detecting events, which, for our purposes, were classified as either protesting, celebrating, religious, or neutral, using Bengali and Banglish Facebook posts. At first, the collected posts’ text were processed for language detection, and then, detected posts were pre-processed using stopwords removal and tokenization. Features were then extracted from these pre-processed texts using three sub-processes: filtering, phrase matching of specific events, and sentiment analysis. The collected features were ultimately used to train our Bernoulli Naive Bayes classification model, which was capable of detecting events with 90.41% accuracy (for Bengali-language posts) and 70% (for the Banglish-form posts). For evaluating the effectiveness of our proposed model more precisely, we compared it with two other classifiers: Support Vector Machine and Decision Tree. Keyword: Banglish; Bengali; Bernoulli Naïve Bayes; decision tree; event detection; social media; support vector machine URL: https://doi.org/10.3390/electronics10192367 BASE Hide 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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