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Computer Research and Modeling, 2012, Volume 4, Issue 4, Pages 871–883
DOI: https://doi.org/10.20537/2076-7633-2012-4-4-871-883
(Mi crm536)
 

This article is cited in 2 scientific papers (total in 2 papers)

MODELS IN PHYSICS AND TECHNOLOGY

The use of syntax trees in order to automate the correction of LATEX documents

K. V. Chuvilin

Moscow Institute of Physics and Technology (SU), 9 Institutskii per., Dolgoprudny, Moscow Region, 141700, Russia
Full-text PDF (997 kB) Citations (2)
References:
Abstract: The problem is to automate the correction of LATEX documents. Each document is represented as a parse tree. The modified Zhang-Shasha algorithm is used to construct a mapping of tree vertices of the original document to the tree vertices of the edited document, which corresponds to the minimum editing distance. Vertex to vertex maps form the training set, which is used to generate rules for automatic correction. The statisticsof the applicability to the edited documents is collected for each rule. It is used for quality assessment andimprovement of the rules.
Keywords: automation, editing distance, LATEX, lexeme, machine learning, metric, parse tree, regular expression, reinforcement learning, syntax tree, text analysis, token.
Received: 20.07.2012
Document Type: Article
UDC: 519.226
Language: Russian
Citation: K. V. Chuvilin, “The use of syntax trees in order to automate the correction of LATEX documents”, Computer Research and Modeling, 4:4 (2012), 871–883
Citation in format AMSBIB
\Bibitem{Chu12}
\by K.~V.~Chuvilin
\paper The use of syntax trees in order to automate the correction of \LaTeX documents
\jour Computer Research and Modeling
\yr 2012
\vol 4
\issue 4
\pages 871--883
\mathnet{http://mi.mathnet.ru/crm536}
\crossref{https://doi.org/10.20537/2076-7633-2012-4-4-871-883}
Linking options:
  • https://www.mathnet.ru/eng/crm536
  • https://www.mathnet.ru/eng/crm/v4/i4/p871
  • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Computer Research and Modeling
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    Abstract page:68
    Full-text PDF :22
    References:13
     
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