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Title: Knowledge Based Transrciption of Handwritten Pitman's Shorthand Using Word Frequency and Context
Contributor(s): Myo Htwe, Swe (author); Higgins, Colin (author); Leedham, Graham  (author); Yang, Ma (author)
Publication Date: 2004
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Abstract: The paper proposes the computer transcription of handwritten Pitman shorthand as a mean of rapid text entry to handheld devices. Handwritten outlines are bound to be variation from writers to writers and it causes pattern recognition to be prone to errors, however these imperfections can be restored by the use of heuristic approach in the interpretation stage. The transcription accuracy can be improved by the combination of three factors: firstly, incorporating contextual knowledge as used by human readers; secondly, applying knowledge of the most frequent words of Pitman shorthand; and finally, adding knowledge of collocation. Statistical analysis of a Shorthand lexicon is presented and distribution of transcription accuracy based on accuracy of segmentation is discussed in the paper. Experiments using a phonetic Lexicon with 5000 entries show that the approach is efficient and produces a satisfactory transcription accuracy of 94%.
Publication Type: Conference Publication
Conference Details: DAS 2004: 7th International Conference on Development and Application Systems, Suceava, Romania, 27th - 29th May, 2004
Source of Publication: DAS 2004 Proceedings (Section F - Pattern Recognition), p. 508-512
Publisher: University of Suceava
Place of Publication: Suceava, Romania
Field of Research (FOR): 080106 Image Processing
080104 Computer Vision
080109 Pattern Recognition and Data Mining
Socio-Economic Objective (SEO): 810199 Defence not elsewhere classified
810107 National Security
890299 Computer Software and Services not elsewhere classified
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
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