6 research outputs found

    Using and evaluating TRACER for an Index fontium computatus of the Summa contra Gentiles of Thomas Aquinas

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    This article describes a computational text reuse study on Latin texts designed to evaluate the performance of TRACER, a language-agnostic text reuse detection engine. As a case study, we use the Index Thomisticus as a gold standard to measure the performance of the tool in identifying text reuse between Thomas Aquinas’ Summa contra Gentiles and his sources.Questo articolo descrive un’analisi computazionale effettuata su testi latini volta a valutare le prestazioni di TRACER, uno strumento “language-agnostic” per l’identificazione automatica del riuso testuale. Il caso studio scelto a tale scopo si avvale dell’Index Thomisticus quale gold standard per verificare l’efficacia di TRACER nel recupero di citazioni delle fonti della Summa contra Gentiles di Tommaso d’Aquino

    Using and evaluating TRACER for an Index fontium computatus of the Summa contra Gentiles of Thomas Aquinas

    Get PDF
    This article describes a computational text reuse study on Latin texts designed to evaluate the performance of TRACER, a language-agnostic text reuse detection engine. As a case study, we use the Index Thomisticus as a gold standard to measure the performance of the tool in identifying text reuse between Thomas Aquinas’ Summa contra Gentiles and his sources.Questo articolo descrive un’analisi computazionale effettuata su testi latini volta a valutare le prestazioni di TRACER, uno strumento “language-agnostic” per l’identificazione automatica del riuso testuale. Il caso studio scelto a tale scopo si avvale dell’Index Thomisticus quale gold standard per verificare l’efficacia di TRACER nel recupero di citazioni delle fonti della Summa contra Gentiles di Tommaso d’Aquino

    Using and evaluating TRACER for an Index fontium computatus of the Summa contra Gentiles of Thomas Aquinas

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    This article describes a computa- tional text reuse study on Latin texts desi- gned to evaluate the performance of TRACER, a language-agnostic text reuse de- tection engine. As a case study, we use the Index Thomisticus as a gold standard to measure the performance of the tool in identifying text reuse between Thomas Aquinas\u2019 Summa contra Gentiles and his sources

    Proceedings of the Fifth Italian Conference on Computational Linguistics CLiC-it 2018 : 10-12 December 2018, Torino

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    On behalf of the Program Committee, a very warm welcome to the Fifth Italian Conference on Computational Linguistics (CLiC-­‐it 2018). This edition of the conference is held in Torino. The conference is locally organised by the University of Torino and hosted into its prestigious main lecture hall “Cavallerizza Reale”. The CLiC-­‐it conference series is an initiative of the Italian Association for Computational Linguistics (AILC) which, after five years of activity, has clearly established itself as the premier national forum for research and development in the fields of Computational Linguistics and Natural Language Processing, where leading researchers and practitioners from academia and industry meet to share their research results, experiences, and challenges

    Proceedings of the Fifth Italian Conference on Computational Linguistics CLiC-it 2018

    Get PDF
    On behalf of the Program Committee, a very warm welcome to the Fifth Italian Conference on Computational Linguistics (CLiC-­‐it 2018). This edition of the conference is held in Torino. The conference is locally organised by the University of Torino and hosted into its prestigious main lecture hall “Cavallerizza Reale”. The CLiC-­‐it conference series is an initiative of the Italian Association for Computational Linguistics (AILC) which, after five years of activity, has clearly established itself as the premier national forum for research and development in the fields of Computational Linguistics and Natural Language Processing, where leading researchers and practitioners from academia and industry meet to share their research results, experiences, and challenges
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