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Computational Stylistics in Poetry, Prose, and Drama
This volume responds to the current interest in computational and statistical methods to describe and analyse metre, style, and poeticity, particularly insofar as they can open up new research perspectives in literature, linguistics, and literary history. The contributions are representative of the diversity of approaches, methods, and goals of a thriving research community. Although most papers focus on written poetry, including computer-generated poetry, the volume also features analyses of spoken poetry, narrative prose, and drama. The contributions employ a variety of methods and techniques ranging from motif analysis, network analysis, machine learning, and Natural Language Processing. The volume pays particular attention to annotation, one of the most basic practices in computational stylistics. This contribution to the growing, dynamic field of digital literary studies will be useful to both students and scholars looking for an overview of current trends, relevant methods, and possible results, at a crucial moment in the development of novel approaches, when one needs to keep in mind the qualitative, hermeneutical benefit made possible by such quantitative efforts.
Graph Data-Models and Semantic Web Technologies in Scholarly Digital Editing
In scholarly digital editing, the established practice for semantically enriching digital texts is to add markup to a linear string of characters. Graph data-models provide an alternative approach, which is increasingly being given serious consideration. Labelled-property-graph databases, and the W3c's semantic web recommendation and associated standards (RDF and OWL) are powerful and flexible solutions to many of the problems that come with embedded markup. This volume explores the combination of scholarly digital editions, the graph data-model, and the semantic web from three perspectives: infrastructures and technologies, formal models, and projects and editions.
Language, Data, and Knowledge
This book constitutes the proceedings of the First International Conference on Language, Data and Knowledge, LDK 2017, held in Galway, Ireland, in June 2017. The 14 full papers and 19 short papers included in this volume were carefully reviewed and selected from 68 initial submissions. They deal with language data; knowledge graphs; applications in NLP; and use cases in digital humanities, social sciences, and BioNLP.
Versification and Authorship Attribution
The technique known as contemporary stylometry uses different methods, including machine learning, to discover a poem’s author based on features like the frequencies of words and character n-grams. However, there is one potential textual fingerprint stylometry tends to ignore: versification, or the very making of language into verse. Using poetic texts in three different languages (Czech, German, and Spanish), Petr Plecháč asks whether versification features like rhythm patterns and types of rhyme can help determine authorship. He then tests its findings on two unsolved literary mysteries. In the first, Plecháč distinguishes the parts of the Elizabethan verse play The Two Noble Kinsmen written by William Shakespeare from those written by his coauthor, John Fletcher. In the second, he seeks to solve a case of suspected forgery: how authentic was a group of poems first published as the work of the nineteenth-century Russian author Gavriil Stepanovich Batenkov? This book of poetic investigation should appeal to literary sleuths the world over.
Historische lexikalische Semantik und Linked Data
An der Schnittstelle von Semantic Web und historischer Linguistik untersucht die Studie, mit Fokus auf die lexikalische Semantik, die mögliche Modellierung von Ressourcen der mittelalterlichen Galloromania als Linked Data. Ziel ist, eine ressourcenübergreifende, strukturelle und konzeptionelle Dateninteroperabilität und einen Datenzugriff über verschiedene Disziplinen, Domänen und Sprachen hinweg zu etablieren. Modelliert werden Ressourcen des Alt- und Mittelfranzösischen und des Altgaskognischen aus Textedition, Textkorpus und Wörterbuch. Dabei werden zahlreiche linguistische Aspekte thematisiert: Ausdrucks- und Inhaltsseite des sprachlichen Zeichens, Skriptafragen und Lemmatisierung, die zentrale Position der Bedeutung und die Rolle ihrer Definition, Semasiologie und Onomasiologie, (digitale) Aspekte der Textphilologie, Korpuslinguistik, Lexikographie etc. Zugleich werden Defizite des Linked-Data-Paradigmas in Bezug auf die Modellierung historischer Sprachdaten aufgezeigt (fehlende Sprachcodes und Domänenontologien, Probleme der Historizität und des Bedeutungswandels etc.) und Lösungen zu deren Behebung vorgeschlagen.
Manuel de linguistique occitane
The Manual offers the first comprehensive overview on Occitan and Occitan linguistics, including the latest research. With 26 contributions organized in seven parts, it covers diachronic and synchronic language description, diatopic variation and sociolinguistics, language planning and equipment, as well as teaching and language pedagogy.
Humanidades Digitales
The contributions gathered in this volume show how digital technologies can be applied to Medieval Studies (Philology, Art, and History) in order to improve our understanding of medieval societies and cultures.
Las humanidades digitales como expresión y estudio del patrimonio digital
Las Humanidades Digitales son, sin más, las Humanidades de hoy. E l quehacer humanista ha devenido en labor interdisciplinar, multidisciplinar y pluridisciplinar. Profundizando en esta idea, reconocemos que la base de este nuevo medio y canal se sustenta, en gran medida, en la existencia del hipertexto, podríamos afirmar que la labor del humanista del siglo XXI es hiperdisciplinar, tomando prestado el prefijo del griego clásico ὑπέρ —híper— con el significado de ‘por encima de’, ‘más allá de’. Aceptamos, así, desde este punto de vista que cualquier trabajo de y en Humanidades va más allá de lo que tradicionalmente se ha considerado nuestra disciplina, y que se actua...
