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Development of an Open-Source Textometry Platform for Textual Data Analysis

The 2009 Lyon meeting presented the Textometry research project's objective to create an open-source software platform designed for the comprehensive analysis of textual data. Collaborating partners included institutions from Lyon, Nice, Franche-Comté, Paris, Oxford, and Montréal. The project emphasizes methodologies such as TEI encoding, NLP enrichment, and qualitative and quantitative data analysis techniques, including deep text search and factorial analysis. The platform aims to facilitate advanced textual analysis with robust functions for rendering and navigating hypertextual data.

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Development of an Open-Source Textometry Platform for Textual Data Analysis

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  1. Rencontres TEI CouncilLyon 2009 Serge Heiden ICAR Laboratory / Lyon University slh@ens-lsh.fr Council, ENS-LSH, Lyon (France), 1 April 2009

  2. Context (1/2) • Project objective (2007-2009) : To develop an open-source software platform for Textometry analysis of textual data • Partners : • Univ. of Lyon (lead) [Weblex] • Univ. of Nice [Hyperbase] • Univ. of Franche-Comté [Diatag] • Univ.of Paris 3 [Lexico] • Univ. of Oxford [Xaira] • Univ. of Montréal [Sato] • Web sites : • http://textometrie.ens-lsh.fr (project site) • http://textometrie.sourceforge.net (dev site) • And others : • Univ. of Chicago[PhiloLogic]

  3. Context (2/2) • Textometry methodology • TEI encoded and NLP enriched textual data analysis • Qualitative data analysis • Deep Text Search Engine, kwic concordances • Hyper Textual data rendering and navigation • Quantitative data analysis • factorial analysis, classification, specificity • N-gram analysis, cooccurrence, collocation, burst

  4. TEI Role and Usage • Open-source contract between data and software • Textometry point of view for data input from TEI : • Textual dimensions (main language, secondary language, cited text, out of text - comments, notes, titles…) <index> • Lexical units (words, phrases…) and their properties (pos, lemma…) <w> • Contextual units (sentence, verse, chapter, text…) and their properties (language, number, domain, genre…) <s> • Contrasts between units • Structural units (navigation : physical - page, logical) <pb/> • References (unit coordinates based on their properties) • Rendering (device, segmentation, style) • Alignment (between two corpora)

  5. Discussion (1/2) : Textometry related TEI element types(BFM : A. Lavrentiev) • Tokenize words (segment + value) • >= : expan|note|name|s • = : w|abbr|num • < : c|ex • Segment sentences (segment + value) • > : TEI|text|front|body|div|head|trailer|p|ab|sp|speaker|list • >~ : q|quote|item • Transversal : • ~ : choice|corr|sic|add|del|reg|orig|foreign|hi|title|supplied|subst|damage|pb|lb|milestone|gap • Meta : note, teiHeader • Primary linguistic content of a text : index ? • NLP results : specify stand-off

  6. Discussion (2/2) : Software related information • bind software parameters to TEI texts • meta.xml file of the ODT format • corpus_parameters.xml of Xaira software => external pointer in teiHeader (like image or audio files) ?

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