Inquiries into words, constraints and contexts : Festschrift in the honour of Kimmo Koskenniemi on his 60th birthday

Peer reviewe

AIUCD2017 - Book of Abstracts

Questo volume raccoglie gli abstract degli interventi presentati alla conferenza AIUCD 2017. AIUCD 2017 si è svolta dal 26 al 28 Gennaio 2017 a Roma, ed è stata verrà organizzata dal Digilab, Università Sapienza in cooperazione con il network ITN DiXiT (Digital Scholarly Editions Initial Training Network). AIUCD 2017 ha ospitato anche la terza edizione dell’EADH Day, tenutosi il 25 Gennaio 2017. Gli abstract pubblicati in questo volume hanno ottenuto il parere favorevole da parte di valutatori esperti della materia, attraverso un processo di revisione anonima sotto la responsabilità del Comitato di Programma Internazionale di AIUCD 2017

AIUCD2017 - Book of Abstracts

Questo volume raccoglie gli abstract degli interventi presentati alla conferenza AIUCD 2017. AIUCD 2017 si è svolta dal 26 al 28 Gennaio 2017 a Roma, ed è stata verrà organizzata dal Digilab, Università Sapienza in cooperazione con il network ITN DiXiT (Digital Scholarly Editions Initial Training Network). AIUCD 2017 ha ospitato anche la terza edizione dell’EADH Day, tenutosi il 25 Gennaio 2017. Gli abstract pubblicati in questo volume hanno ottenuto il parere favorevole da parte di valutatori esperti della materia, attraverso un processo di revisione anonima sotto la responsabilità del Comitato di Programma Internazionale di AIUCD 2017

Head-Driven Phrase Structure Grammar

Head-Driven Phrase Structure Grammar (HPSG) is a constraint-based or declarative approach to linguistic knowledge, which analyses all descriptive levels (phonology, morphology, syntax, semantics, pragmatics) with feature value pairs, structure sharing, and relational constraints. In syntax it assumes that expressions have a single relatively simple constituent structure. This volume provides a state-of-the-art introduction to the framework. Various chapters discuss basic assumptions and formal foundations, describe the evolution of the framework, and go into the details of the main syntactic phenomena. Further chapters are devoted to non-syntactic levels of description. The book also considers related fields and research areas (gesture, sign languages, computational linguistics) and includes chapters comparing HPSG with other frameworks (Lexical Functional Grammar, Categorial Grammar, Construction Grammar, Dependency Grammar, and Minimalism)

Head-Driven Phrase Structure Grammar

Head-Driven Phrase Structure Grammar (HPSG) is a constraint-based or declarative approach to linguistic knowledge, which analyses all descriptive levels (phonology, morphology, syntax, semantics, pragmatics) with feature value pairs, structure sharing, and relational constraints. In syntax it assumes that expressions have a single relatively simple constituent structure. This volume provides a state-of-the-art introduction to the framework. Various chapters discuss basic assumptions and formal foundations, describe the evolution of the framework, and go into the details of the main syntactic phenomena. Further chapters are devoted to non-syntactic levels of description. The book also considers related fields and research areas (gesture, sign languages, computational linguistics) and includes chapters comparing HPSG with other frameworks (Lexical Functional Grammar, Categorial Grammar, Construction Grammar, Dependency Grammar, and Minimalism)

Visualización del lenguaje a través de corpus

Digital version of the print publication, published in A Coruña: Universidade da Coruña, Servizo de Publicacións, 2010 (ISBN 978-84-9749-401-4)This book contains the papers presented at the Second International Conference on Corpus Linguistics held at the University of A Coruña in 2010 and organised by the MuStE group. The essays deal with different aspects of corpus linguistics both as a methodology and as a branch of Linguistics.[Abstract] The collection of essays we are presenting here are just a mere sample of the interest the topics relating to Corpus Linguistics have arisen everywhere. Such different topics as those related to Computational Linguistics found in “Obtaining computational resources for languages with scarce resources from closely related computationally-developed languages. The Galician and Portuguese case“ or “Corpus-Based Modelling of Lexical Changes in Manic Depression Disorders: The Case of Edgar Allan Poe” belonging to the field of Corpus and Literary Studies can be found in the ensuing pages. Almost all research areas can nowadays be investigated using Corpus Linguistics as a valid methodology. This is reason why Language Windowing through Corpora gathers papers dealing with discourse, variation and change, grammatical studies, lexicology and lexicography, corpus design, contrastive analyses, language acquisition and learning or translation. This work’s title aims at reflecting not only the great variety of topics gathered in it but also the worldwide interest awaken by the computer processing of language. In fact, researchers from many different institutions all over the world have contributed to this book. Apart from the twenty-two Spanish Universities, people from other Higher Education Institutions have authored and co-authored the essays contained here, namely, Russia, Venezuela, Brazil, UK, Finland, Portugal, Poland, Austria, Mexico, Thailand, Iran, the Netherlands, Belgium, Japan, Turkey, China, Italy, Malaysia, Romania and Sweden. All these essays have been alphabetically arranged, by the names of their authors, in two parts. Part 1 contains the papers by authors from A to K and Part 2, those of authors from L to Z

How does rumination impact cognition? A first mechanistic model.

Rumination is a process of uncontrolled, narrowly-foused neg- ative thinking that is often self-referential, and that is a hall- mark of depression. Despite its importance, little is known about its cognitive mechanisms. Rumination can be thought of as a specific, constrained form of mind-wandering. Here, we introduce a cognitive model of rumination that we devel- oped on the basis of our existing model of mind-wandering. The rumination model implements the hypothesis that rumina- tion is caused by maladaptive habits of thought. These habits of thought are modelled by adjusting the number of memory chunks and their associative structure, which changes the se- quence of memories that are retrieved during mind-wandering, such that during rumination the same set of negative memo- ries is retrieved repeatedly. The implementation of habits of thought was guided by empirical data from an experience sam- pling study in healthy and depressed participants. On the ba- sis of this empirically-derived memory structure, our model naturally predicts the declines in cognitive task performance that are typically observed in depressed patients. This study demonstrates how we can use cognitive models to better un- derstand the cognitive mechanisms underlying rumination and depression

How does rumination impact cognition? A first mechanistic model.

Rumination is a process of uncontrolled, narrowly-foused neg- ative thinking that is often self-referential, and that is a hall- mark of depression. Despite its importance, little is known about its cognitive mechanisms. Rumination can be thought of as a specific, constrained form of mind-wandering. Here, we introduce a cognitive model of rumination that we devel- oped on the basis of our existing model of mind-wandering. The rumination model implements the hypothesis that rumina- tion is caused by maladaptive habits of thought. These habits of thought are modelled by adjusting the number of memory chunks and their associative structure, which changes the se- quence of memories that are retrieved during mind-wandering, such that during rumination the same set of negative memo- ries is retrieved repeatedly. The implementation of habits of thought was guided by empirical data from an experience sam- pling study in healthy and depressed participants. On the ba- sis of this empirically-derived memory structure, our model naturally predicts the declines in cognitive task performance that are typically observed in depressed patients. This study demonstrates how we can use cognitive models to better un- derstand the cognitive mechanisms underlying rumination and depression