Proceedings of the 9th Italian Conference on Computational Linguistics CLiC-it 2023
Proceedings of the 9th Italian Conference on Computational Linguistics CLiC-it 2023

Author: AA.VV.

Publisher: Accademia University Press

Published: 2024-06-26

Total Pages: 594

ISBN-13:

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The ninth edition of the Italian Conference on Computational Linguistics (CLiC-it 2023) was held from 30th November to 2nd December 2023 at Ca' Foscari University of Venice, in the beautiful venue of the Auditorium Santa Margherita - Emanuele Severino. After the edition of 2020, which was organized in fully virtual mode due to the health emergency related to Covid-19, and CLiC-it 2021, which was held in hybrid mode, with CLiC-it 2023 we are back to a fully in-presence conference. Overall, almost 210 participants registered to the conference, confirming that the community is eager to meet in person and to enjoy both the scientific and social events together with the colleagues.

IJCoL - Italian Journal of Computational Linguistics vol. 10, n. 1 june 2024
IJCoL - Italian Journal of Computational Linguistics vol. 10, n. 1 june 2024

Author: AA.VV.

Publisher: Accademia University Press

Published: 2024-07-30

Total Pages: 116

ISBN-13:

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Adapting BLOOM to a new language: A case study for the Italian Pierpaolo Basile, Lucia Siciliani, Elio Musacchio, Marco Polignano, Giovanni Semeraro U-DepPLLaMA: Universal Dependency Parsing via Auto-regressive Large Language Models Claudiu Daniel Hromei, Danilo Croce, Roberto Basili Investigating Text Difficulty and Prerequisite Relation Identification Chiara Alzetta Italian Linguistic Features for Toxic Language Detection in Social Media Leonardo Grotti Publishing the Dictionary of Medieval Latin in the Czech Lands as Linked Data in the LiLa Knowledge Base Federica Gamba, Marco Carlo Passarotti, Paolo Ruffolo

Corpus Use in Italian Language Pedagogy
Corpus Use in Italian Language Pedagogy

Author: Luciana Forti

Publisher: Taylor & Francis

Published: 2023-03-31

Total Pages: 231

ISBN-13: 1000846032

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Corpus Use in Italian Language Pedagogy: Exploring the Effects of Data-Driven Learning provides a comprehensive overview of corpus use in Italian L2 Pedagogy. The author addresses Italian language corpus resources, their potential uses in pedagogical settings, and the range of research methods available to evaluate their effectiveness. Overall, the book: provides a comprehensive account of Italian corpora and corpus-based research on Italian that can inform the design, implementation and evaluation of DDL practices in Italian learning and teaching contexts traces the history of DDL, by describing its origins and discussing its theoretical underpinnings, in relation to both linguistics and pedagogy examines the state-of-the-art in DDL research, in light of the available empirical evidence on both etic and emic dimensions, while placing particular emphasis on the methodological gaps illustrates the main methodological challenges in researching DDL, from corpus resource selection to empirical evaluation of its pedagogical effectiveness, and describes how they can be overcome demonstrates, by means of an in-depth case study, how the guidelines provided above can be applied when researching DDL effects in a specific second language learning and teaching context discusses the overall challenges the field faces today, while outlining some desirable avenues for future research and pedagogical practice This book will not only be of interest to those conducting research in corpus linguistics and teaching in the Italian domain, but also to those working with other languages.

AIxIA 2022 – Advances in Artificial Intelligence
AIxIA 2022 – Advances in Artificial Intelligence

Author: Agostino Dovier

Publisher: Springer Nature

Published: 2023-03-10

Total Pages: 504

ISBN-13: 3031271815

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​This book constitutes the refereed proceedings of the XXIst International Conference of the Italian Association for Artificial Intelligence on AIxIA 2022 – Advances in Artificial Intelligence, which was held in Udine, Italy, during November 28–December 2, 2022. The 33 full papers and 1 invited paper presented in this volume were carefully reviewed and selected from 54 submissions. They were organized in topical sections as follows: Hybrid Approaches; Graphs and Networks; Multiagent Systems; Automated Planning and Scheduling; AI Applications; Miscellany; Natural Language Processing; and Keynote talk.

Paradigm Structure and Predictability in Latin Inflection
Paradigm Structure and Predictability in Latin Inflection

Author: Matteo Pellegrini

Publisher: Springer Nature

Published: 2023-03-31

Total Pages: 194

ISBN-13: 3031248449

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Latin paradigms are almost proverbially known, and they have often been used as a test case for different theoretical approaches to morphological complexity. This book analyses them in a completely word-based perspective, using a recently developed information-theoretic methodology, making entropy-based techniques of analysis available to a wider readership. By doing so, it shows the relevance of traditional notions like principal parts, giving them a more principled, data-driven formulation. Furthermore, it suggests enhancements to the standard information-theoretic methodology, allowing to account for the role of external factors – like gender and derivational information – in improving predictability between inflected word forms. This book is useful to morphologists, that will see ideas and techniques taken from the current debate on morphological theory tested on complex phenomena of a language as renowned as Latin. It is also helpful for scholars working in both Latin and Romance linguistics: the former will find a freely available lexical resource and a novel description of Latin paradigms, that can be exploited by the latter to draw a comparison with recent analyses of the inflectional morphology of several Romance languages.

Deep Learning Theory and Applications
Deep Learning Theory and Applications

Author: Donatello Conte

Publisher: Springer Nature

Published: 2023-07-30

Total Pages: 496

ISBN-13: 3031390598

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This book consitiutes the refereed proceedings of the 4th International Conference on Deep Learning Theory and Applications, DeLTA 2023, held in Rome, Italy from 13 to 14 July 2023. The 9 full papers and 22 short papers presented were thoroughly reviewed and selected from the 42 qualified submissions. The scope of the conference includes such topics as models and algorithms; machine learning; big data analytics; computer vision applications; and natural language understanding.

Word Knowledge and Word Usage
Word Knowledge and Word Usage

Author: Vito Pirrelli

Publisher: Walter de Gruyter GmbH & Co KG

Published: 2020-04-20

Total Pages: 621

ISBN-13: 3110432447

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Word storage and processing define a multi-factorial domain of scientific inquiry whose thorough investigation goes well beyond the boundaries of traditional disciplinary taxonomies, to require synergic integration of a wide range of methods, techniques and empirical and experimental findings. The present book intends to approach a few central issues concerning the organization, structure and functioning of the Mental Lexicon, by asking domain experts to look at common, central topics from complementary standpoints, and discuss the advantages of developing converging perspectives. The book will explore the connections between computational and algorithmic models of the mental lexicon, word frequency distributions and information theoretical measures of word families, statistical correlations across psycho-linguistic and cognitive evidence, principles of machine learning and integrative brain models of word storage and processing. Main goal of the book will be to map out the landscape of future research in this area, to foster the development of interdisciplinary curricula and help single-domain specialists understand and address issues and questions as they are raised in other disciplines.

Handbook of Linguistic Annotation
Handbook of Linguistic Annotation

Author: Nancy Ide

Publisher: Springer

Published: 2017-06-16

Total Pages: 1440

ISBN-13: 9402408819

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This handbook offers a thorough treatment of the science of linguistic annotation. Leaders in the field guide the reader through the process of modeling, creating an annotation language, building a corpus and evaluating it for correctness. Essential reading for both computer scientists and linguistic researchers.Linguistic annotation is an increasingly important activity in the field of computational linguistics because of its critical role in the development of language models for natural language processing applications. Part one of this book covers all phases of the linguistic annotation process, from annotation scheme design and choice of representation format through both the manual and automatic annotation process, evaluation, and iterative improvement of annotation accuracy. The second part of the book includes case studies of annotation projects across the spectrum of linguistic annotation types, including morpho-syntactic tagging, syntactic analyses, a range of semantic analyses (semantic roles, named entities, sentiment and opinion), time and event and spatial analyses, and discourse level analyses including discourse structure, co-reference, etc. Each case study addresses the various phases and processes discussed in the chapters of part one.