Lexical Error Compensation in Handwritten-Based Mathematical Information Retrieval
Ahmadi, Seyed Ali; Youssef, Abdou
- Towards Digital Mathematics Library. Birmingham, United Kingdom, July 27th, 2008, Publisher: Masaryk University(Brno), page 43-54
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topAhmadi, Seyed Ali, and Youssef, Abdou. "Lexical Error Compensation in Handwritten-Based Mathematical Information Retrieval." Towards Digital Mathematics Library. Birmingham, United Kingdom, July 27th, 2008. Brno: Masaryk University, 2008. 43-54. <http://eudml.org/doc/220930>.
@inProceedings{Ahmadi2008,
abstract = {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. 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.},
author = {Ahmadi, Seyed Ali, Youssef, Abdou},
booktitle = {Towards Digital Mathematics Library. Birmingham, United Kingdom, July 27th, 2008},
keywords = {mathematical information retrieval},
location = {Brno},
pages = {43-54},
publisher = {Masaryk University},
title = {Lexical Error Compensation in Handwritten-Based Mathematical Information Retrieval},
url = {http://eudml.org/doc/220930},
year = {2008},
}
TY - CLSWK
AU - Ahmadi, Seyed Ali
AU - Youssef, Abdou
TI - Lexical Error Compensation in Handwritten-Based Mathematical Information Retrieval
T2 - Towards Digital Mathematics Library. Birmingham, United Kingdom, July 27th, 2008
PY - 2008
CY - Brno
PB - Masaryk University
SP - 43
EP - 54
AB - 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. 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.
KW - mathematical information retrieval
UR - http://eudml.org/doc/220930
ER -
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