Browsing by Subject "Bengali"

Now showing items 1-10 of 10

    • An Analysis on Bengali handwritten conjunct character recognition and prediction 

      Munawar, Maazin; Roy, Yagghaseni Saha; Hussain, Mohammed Mudabbir (Brac University, 2021-01)
      In the very active field of handwriting recognition, a lot of research can be found in the detection of the handwriting of various languages, especially English. However, for languages like Bengali, while they hold some ...

    • BanglaBait: using transformers, neural networks & statistical classifiers to detect clickbaits in New Bangla Clickbait Dataset 

      Mahtab, Motahar; Haque, Monirul; Hasan, Mehedi (Brac University, 2022-01)
      The art of luring us to click on certain content by exploiting our curiosity is recognized as clickbait. Clickbait might be aggravating at times because it is misleading. Several studies have worked on the detection of ...

    • A comprehensive Bangla spelling checker 

      Naushad UzZaman,; Khan, Mumit (BRAC University, 2006)
      We present a comprehensive Bangla spelling checker that improves the quality of suggestions for misspelled words. The complex rules for Bangla spelling presents a significant challenge in producing suggestions for a ...

    • A comprehensive roman (English)-to-Bangla transliteration scheme 

      Naushad UzZaman,; Zaheen, Arnab; Khan, Mumit (BRAC University, 2006)
      A transliteration scheme from Roman (English) to Bangla can help increase the use of Bangla in essential and diverse computing areas such as word processing, Internet and mobile communication and information query and ...

    • A double metaphone encoding for Bangla and its application in spelling checker 

      Naushad UzZaman; Khan, Mumit (BRAC University, 2005)
      We present a Double Metaphone encoding for Bangla that can be used by spelling checkers to improve the quality of suggestions for misspelled words. The complex rules of Bangla spelling present a significant challenge in ...

    • Gesture based implementation on neural network: Bengali sign language to text conversion 

      Hasan, S.M. Farzana; Rahman, Tanjina Mehnaz; Chowdhury, Anika Raisa; Biswas, Akash (BRAC Univeristy, 2017-08)
      This paper presents a novel system that converts Bengali Sign language to text using an optimum system comprising of artificial neural networksand support vector model. Bengali Sign Language, has very few research papers ...

    • Her desire: a post-colonial reading of Rabindranath, Rokeya, and Bibhuti 

      Shuchi, Mahatajin Rumana (Brac University, 2022-08)
      This research focuses on the idea of ‘desire,’ the manipulation of the word’ desire’ in creating a false portrayal of the colonial Bengal as well as her daughters. This also focuses on the lack of representation, ...

    • Implementation of an Optical Character Reader (OCR) for Bengali language 

      Chowdhury, Muhammed Tawfiq; Islam, Md. Saiful; Bipul, Baijed Hossain; Rhaman, Md. Khalilur (© 2016 Institute of Electrical and Electronics Engineers Inc., 2016-03)
      Optical Character Recognition (OCR) is the process of extracting text from an image. The main purpose of an OCR is to make editable documents from existing paper documents or image files. Significant number of algorithms ...

    • Morphosyntactic development of Bangla-speaking preschool children 

      Sultana, Asifa; Stokes, Stephanie F.; Klee, Thomas M.; Fletcher, Paul (© 2016 SAGE Publications Ltd., 2016-12-01)
      This study examines the morphosyntactic development, specifically verb morphology, of typically-developing Bangla-speaking children between the ages of two and four. Three verb forms were studied: the Present Simple, the ...

    • Sentiment analysis for Bengali newspaper headlines 

      Hossain, Mohammad Samman; Jui, Israt Jahan; Suzana, Afia Zahin (BRAC University, 2017)
      In this project, we propose a system that assigns scores indicating positive or negative to newspaper headlines. Many works have been done on sentiment analysis, document clustering for newspaper headlines in English. We ...