Post-processing of Handwritten Pitman's Shorthand Using Unigram and Heuristic Approaches

Author(s)
Myo Htwe, Swe
Higgins, Colin
Leedham, Graham
Yang, Ma
Publication Date
2004
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%.
Citation
Document analysis systems VI: Proceedings of the 6th international workshop, DAS 2004, v.Lecture notes in computer science: 3163, p. 332-336
ISBN
9783540230601
ISSN
1611-3349
0302-9743
Link
Publisher
Springer
Title
Post-processing of Handwritten Pitman's Shorthand Using Unigram and Heuristic Approaches
Type of document
Conference Publication
Entity Type
Publication

Files:

NameSizeformatDescriptionLink