Allograph (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Allograph" in English language version.

refsWebsite
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703rd place
501st place
low place
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doi.org (Global: 2nd place; English: 2nd place)

  • Milo, Thomas; González Martínez, Alicia (2019). "A New Strategy for Arabic OCR: Archigraphemes, Letter Blocks, Script Grammar, and shape synthesis". DATeCH '19: Digital Access to Textual Cultural Heritage, May 08-09, 2019, Brussels, Belgium. doi:10.1145/3322905.3322928.
  • Bara, Florence; Morin, Marie-France; Alamargot, Denis; Bosse, Marie-Line (January 2016). "Learning different allographs through handwriting: The impact on letter knowledge and reading acquisition". Learning and Individual Differences. 45: 88–94. doi:10.1016/j.lindif.2015.11.020.
  • Parizeau, M.; Plamondon, R. (1994). "Machine vs humans in a cursive script reading experiment without linguistic knowledge". Proceedings of the 12th IAPR International Conference on Pattern Recognition (Cat. No.94CH3440-5). Vol. 2. pp. 93–98. doi:10.1109/ICPR.1994.576882. ISBN 0-8186-6270-0.
  • Bharath; Madhvanath, Sriganesh (3 October 2014). "Allograph modeling for online handwritten characters in Devanagari using constrained stroke clustering". ACM Transactions on Asian Language Information Processing. 13 (3): 1–21. doi:10.1145/2629622.
  • David Rothlein; Brenda Rapp (3 April 2017). "The role of allograph representations in font-invariant letter identification". Journal of Experimental Psychology: Human Perception and Performance. 43 (7): 1411–1429. doi:10.1037/xhp0000384. PMC 5481478. PMID 28368166.

internationalphoneticassociation.org (Global: low place; English: low place)

malwarebytes.com (Global: low place; English: low place)

nih.gov (Global: 4th place; English: 4th place)

ncbi.nlm.nih.gov

pubmed.ncbi.nlm.nih.gov

nuqta.com (Global: low place; English: low place)

  • Thomas Milo (2012). "Arabic Script Tutorial". nuqta.com. Retrieved 24 November 2019. In Arabic the abstract, nominal graphemes are represented by context-dependent allographs. Simplified support for Arabic handles contextual allographs according to two patterns, discontinuous and continuous assimilation. (Allographs and Ligatures)

ssrn.com (Global: 703rd place; English: 501st place)

papers.ssrn.com

  • Kumar, Sanjeev (2012-10-15). "A Comparative Study of UTF-8, UTF-16, and UTF-32 of Unicode Code Point". The IUP Journal of Telecommunications. IV (2). Rochester, NY: 50–59. SSRN 2161812.