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Capturing Abstract Matrices from Paper

Identifieur interne : 000F75 ( Main/Exploration ); précédent : 000F74; suivant : 000F76

Capturing Abstract Matrices from Paper

Auteurs : Toshihiro Kanahori [Japon] ; Alan Sexton [Royaume-Uni] ; Volker Sorge [Royaume-Uni] ; Masakazu Suzuki (mathématicien) [Japon]

Source :

RBID : ISTEX:DA9DBC6EF495D66CB2517E9F8276DC27A4EC6107

Abstract

Abstract: Capturing and understanding mathematics from print form is an important task in translating written mathematical knowledge into electronic form. While the problem of syntactically recognising mathematical formulas from scanned images has received attention, very little work has been done on semantic validation and correction of recognised formulas. We present a first step towards such an integrated system by combining the Infty system with a semantic analyser for matrix expressions. We applied the combined system in experiments on the semantic analysis of matrix images scanned from textbooks. While the first results are encouraging, they also demonstrate many ambiguities one has to deal with when analysing matrix expressions in different contexts. We give a detailed overview of the problems we encountered that motivate further research into semantic validation of mathematical formula recognition.

Url:
DOI: 10.1007/11812289_11


Affiliations:


Links toward previous steps (curation, corpus...)


Le document en format XML

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