Conference Paper2016

Devising a strategy for playing Bangla Hangman (Jhulonto Manob) based on character frequency distribution

Aunnoy K Mutasim, Ali Shihab Sabbir, M Ashraful Amin

2016 5th International Conference on Informatics, Electronics and Vision (ICIEV)

IEEE, pp. 187–192

DOI: 10.1109/iciev.2016.7759993URL

CCDS Authors

M Ashraful Amin, PhD

M Ashraful Amin, PhD

Founder DirectorDirector, Artificial Intelligence & Machine Learing WingDirector, Human-Computer Interaction WingDirector, Data Science Wing

References

  1. 1.Andrew Wright, D. Betteridge, Michael Buckby. (2006). Games for Language Learning. Cambridge University Press eBooks[10.1017/cbo9780511667145]
  2. 2.Bashar Hasan, John Q. Gan. (2012). Hangman BCI: An unsupervised adaptive self-paced Brain–Computer Interface for playing games. Computers in Biology and Medicine, 42(5), 598–606[10.1016/j.compbiomed.2012.02.004]
  3. 3.Sailendra Biswas, S. C. Sen Gupta. (1995). Samsad Bengali-English dictionary. Americanae (AECID Library)
  4. 4.Nobuko Chikamatsu, Shoichi Yokoyama, Hironari Nozaki, Eric Long, Sachio Fukuda. (2000). A Japanese logographic character frequency list for cognitive science research. Behavior Research Methods, Instruments, & Computers, 32(3), 482–500[10.3758/bf03200819]
  5. 5.Alex Tilbury. (2007). Games for Language Learning ( 3rd Edition ). BioTechniques, 16(4), 76[link]
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