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Zbl 1170.68480
Ahmadi, Seyed Ali; Youssef, Abdou
Lexical error compensation in handwritten-based mathematical information retrieval.
(English)
[A] Sojka, Petr (ed.), DML 2008. Towards digital mathematics library, Birmingham, UK, July 27th, 2008. Proceedings. Brno: Masaryk University. 43-54 (2008). ISBN 978-80-210-4658-0/pbk

Summary: Entering mathematical queries, in general, can be a demanding task. Mathematical notation is two-dimensional and cannot be easily typed with a standard QWERTY keyboard. Handwriting appears to be the most intuitive and promising method to express mathematical queries. Recognition technology for handwritten mathematical notation has never been applied in math search. The objective of this research is to design and implement an automated symbol-recognition error compensation system for the handwritten-based query processing.\par To achieve this objective, we have designed and implemented a query processing algorithm which modifies and expands handwritten queries using different policies, in order to compensate for lexical symbol-recognition errors. Experiments have demonstrated that these policies substantially improve the performance of a handwritten-based math IR system.
MSC 2000:
*68P99 Theory of data

Keywords: mathematical information retrieval; handwritten mathematical recognition; digital libraries; math search; error compensation

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