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            Making Presentation Math Computable

            A Context-Sensitive Approach for Translating LaTeX to Computer Algebra Systems

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            Author(s)
            Greiner-Petter, André
            Language
            English
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            Abstract
            This Open-Access-book addresses the issue of translating mathematical expressions from LaTeX to the syntax of Computer Algebra Systems (CAS). Over the past decades, especially in the domain of Sciences, Technology, Engineering, and Mathematics (STEM), LaTeX has become the de-facto standard to typeset mathematical formulae in publications. Since scientists are generally required to publish their work, LaTeX has become an integral part of today's publishing workflow. On the other hand, modern research increasingly relies on CAS to simplify, manipulate, compute, and visualize mathematics. However, existing LaTeX import functions in CAS are limited to simple arithmetic expressions and are, therefore, insufficient for most use cases. Consequently, the workflow of experimenting and publishing in the Sciences often includes time-consuming and error-prone manual conversions between presentational LaTeX and computational CAS formats. To address the lack of a reliable and comprehensive translation tool between LaTeX and CAS, this thesis makes the following three contributions. First, it provides an approach to semantically enhance LaTeX expressions with sufficient semantic information for translations into CAS syntaxes. Second, it demonstrates the first context-aware LaTeX to CAS translation framework LaCASt. Third, the thesis provides a novel approach to evaluate the performance for LaTeX to CAS translations on large-scaled datasets with an automatic verification of equations in digital mathematical libraries. This is an open access book.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/164129
            Keywords
            LaTeX; Computer Algebra Systems; Presentational Mathematics; Presentation to Computation Translations; Computable Mathematics; Mathematical Information Retrieval; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBJ Maths for engineers; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBF Algebra
            DOI
            10.1007/978-3-658-40473-4
            ISBN
            9783658404734
            Publisher
            Springer Nature
            Publisher website
            http://www.springernature.com/oabooks
            Publication date and place
            Wiesbaden, 2023
            Grantor
            • National Institute of Informatics
            Imprint
            Springer Fachmedien Wiesbaden
            Pages
            197
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            Credits


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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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