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

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

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

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

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

Relatório de estágio em farmácia comunitária

Relatório de estágio realizado no âmbito do Mestrado Integrado em Ciências Farmacêuticas, apresentado à Faculdade de Farmácia da Universidade de Coimbr

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

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

From Close to Distant Reading. Towards the Computational Analysis of “Liber Abbaci”

This contribution presents the first steps towards the analysis of Leonardo Fibonacci's Liber Abbaci using computational linguistics methods. The work is currently carried out in the context of a joint research project between the Tuscany Region and the University of Pisa with the help of an interdisciplinary team

The Annotation of Liber Abbaci, a Domain-Specific Latin Resource

The Liber Abbaci (13th century) is a milestone in the history of mathematics and accounting. Due to the late stage of Latin, its features and its very specialized content, it also represents a unique resource for scholars working on Latin corpora. In this paper we present the annotation and linking work carried out in the frame of the project Fibonacci 1202-2021. A gold-standard lemmatization and part-ofspeech tagging allow us to elaborate some first observations on the linguistic and historical features of the text, and to link the text to the Lila Knowledge Base, that has as its goal to make distributed linguistic resources for Latin interoperable by following the principles of the Linked Data paradigm. Starting from this specific case, we discuss the importance of annotating and linking scientific and technical texts, in order to (a) compare and search them together with other (non-technical) Latin texts (b) train, apply and evaluate NLP resources on a non-standard variety of Latin. The paper also describes the fruitful interaction and coordination between NLP experts and traditional Latin scholars on a project requiring a large range of expertise

Morphology beyond inflection. Building a wordformation based dictionary for Latin

This short paper describes the initial phases of a Marie Curie Research Project, Word Formation Latin (WFL), developed at the Centro Interdisciplinare di Ricerche per la Computerizzazione dei Segni dell\u2019Espressione (CIRCSE), at the Universit\ue0 Cattolica del Sacro Cuore, Milan, Italy. The project consists in the compilation of a derivational morphological dictionary of the Latin language, which connects lexical elements on the basis of wordformation rules, through the use of computational linguistic methods

Preface

Preface of the Proceedings of the Workshop on Resources and Tools for Derivational Morphology (DeriMo). 5 - 6 October 2017, Milano, Italy, Milan

Node Formation. Using Networks to Inspect Productivity in Affixal Derivation in Classical Latin

This paper investigates the distribution of word formation data through network visualisation, as an entry point for the exploration / analysis of productivity in affixal derivation in Classical Latin. This study uses data from theWord Formation Latin lexicon, a derivational morphology resource for Latin, where entries are analysed into their formative components, and relationships between them are established on the basis of word formation rules