Author(s) |
Myo Htwe, Swe
Higgins, Colin
Leedham, Graham
Yang, Ma
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Publication Date |
2004
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Abstract |
The computer transcription of handwritten Pitman's shorthand has enormous potential as a means of rapid text entry to today's handheld devices. Recognition errors caused in pattern segmentation and classification raises the incidence of ambiguous interpretation in existing systems and the paper proposes a well-established unigram technique and an efficient heuristic method to reduce ambiguity in a linguistic post processor. Heuristics applied in our transcription system are: - firstly, incorporating visual stimulus as used by human readers; secondly, applying knowledge of the most common words of Pitman shorthand; and finally, adding knowledge of collocation. An experiment using a phonetic Lexicon of 5000 entries shows the distribution of ambiguity in a shorthand lexicon due to the similarity of outlines' and estimates the transcription accuracy of 94%.
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Citation |
Document analysis systems VI: Proceedings of the 6th international workshop, DAS 2004, v.Lecture notes in computer science: 3163, p. 332-336
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ISBN |
9783540230601
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ISSN |
1611-3349
0302-9743
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Link | |
Publisher |
Springer
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Title |
Post-processing of Handwritten Pitman's Shorthand Using Unigram and Heuristic Approaches
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Type of document |
Conference Publication
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Entity Type |
Publication
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