On-Line Recognition of Pitman Shorthand for Fast Mobile Text Entry

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Third International Conference on Information Technology and Applications (ICITA'05) Volume 1

Sydney, Australia

July 04-July 07

ISBN: 0-7695-2316-1

	ASCII Text	x
	Ma Yang, Graham Leedham, Colin Higgins, Swe Myo Htwe, "On-Line Recognition of Pitman Shorthand for Fast Mobile Text Entry," Information Technology and Applications, International Conference on, vol. 1, pp. 686-691, Third International Conference on Information Technology and Applications (ICITA'05) Volume 1, 2005.

	BibTex	x
	@article{ 10.1109/ICITA.2005.196, author = {Ma Yang and Graham Leedham and Colin Higgins and Swe Myo Htwe}, title = {On-Line Recognition of Pitman Shorthand for Fast Mobile Text Entry}, journal ={Information Technology and Applications, International Conference on}, volume = {1}, year = {2005}, isbn = {0-7695-2316-1}, pages = {686-691}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICITA.2005.196}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Information Technology and Applications, International Conference on TI - On-Line Recognition of Pitman Shorthand for Fast Mobile Text Entry SN - 0-7695-2316-1 SP686 EP691 A1 - Ma Yang, A1 - Graham Leedham, A1 - Colin Higgins, A1 - Swe Myo Htwe, PY - 2005 KW - null VL - 1 JA - Information Technology and Applications, International Conference on ER -

Ma Yang, Nanyang Technological University

Graham Leedham, Nanyang Technological University

Colin Higgins, University of Nottingham

Swe Myo Htwe, University of Nottingham

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICITA.2005.196

A novel solution to on-line Pitman shorthand recognition for high speed text input (> 120wpn) to computer and mobile devices such as PDA's is proposed in this paper. Approaches to the recognition of three major components of Pitman shorthand-shortforms consonant outlines, vowel and diphthong symbols and are described in detail. Evaluation shows that the proposed approach achieved 84.4% recognition accuracy.

Citation:

Ma Yang, Graham Leedham, Colin Higgins, Swe Myo Htwe, "On-Line Recognition of Pitman Shorthand for Fast Mobile Text Entry," icita, vol. 1, pp.686-691, Third International Conference on Information Technology and Applications (ICITA'05) Volume 1, 2005

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