The Scholarly Digital Edition 2.0

Pozna

DHBeNeLux : incubator for digital humanities in Belgium, the Netherlands and Luxembourg

Digital Humanities BeNeLux is a grass roots initiative to foster knowledge networking and dissemination in digital humanities in Belgium, the Netherlands, and Luxembourg. This special issue highlights a selection of the work that was presented at the DHBenelux 2015 Conference by way of anthology for the digital humanities currently being done in the Benelux area and beyond. The introduction describes why this grass roots initiative came about and how DHBenelux is currently supporting community building and knowledge exchange for digital humanities in the Benelux area and how this is integrating regional digital humanities in the larger international digital humanities environment

Vector space explorations of literary language

Literary novels are said to distinguish themselves from other novels through conventions associated with literariness. We investigate the task of predicting the literariness of novels as perceived by readers, based on a large reader survey of contemporary Dutch novels. Previous research showed that ratings of literariness are predictable from texts to a substantial extent using machine learning, suggesting that it may be possible to explain the consensus among readers on which novels are literary as a consensus on the kind of writing style that characterizes literature. Although we have not yet collected human judgments to establish the influence of writing style directly (we use a survey with judgments based on the titles of novels), we can try to analyze the behavior of machine learning models on particular text fragments as a proxy for human judgments. In order to explore aspects of the texts associated with literariness, we divide the texts of the novels in chunks of 2--3 pages and create vector space representations using topic models (Latent Dirichlet Allocation) and neural document embeddings (Distributed Bag-of-Words Paragraph Vectors). We analyze the semantic complexity of the novels using distance measures, supporting the notion that literariness can be partly explained as a deviation from the norm. Furthermore, we build predictive models and identify specific keywords and stylistic markers related to literariness. While genre plays a role, we find that the greater part of factors affecting judgments of literariness are explicable in bag-of-words terms,even in short text fragments and among novels with higher literary ratings. The code and notebook used to produce the results in this paper are available at https://github.com/andreasvc/litvecspace

What Are You Trying to Say? The Interface as an Integral Element of Argument

Graphical interfaces to digital scholarly editions are usually regarded as disconnected from the content of the edition, enough so that an argument has developed against the use of interfaces at all. We argue in this paper that the indifference and even hostility to interfaces is caused by a widespread incomprehension of their argumentative utility. In a pair of case studies of published digital editions, we conduct a detailed examination of the argument their interface makes, and compare these interface rhetorics with the stated intentions of the editors, exposing a number of contradictions between ‘word’ and ‘deed’ in the interface designs. We end by advocating for an explicit consideration of the semiotic significance of the elements of a user interface: that editors reflect on what aspect of the argument their interface expresses, and how that is adding, or perhaps subtracting, from the points they wish to make

Teacher's corner : evaluating informative hypotheses using the Bayes factor in structural equation models

This Teacher's Corner paper introduces Bayesian evaluation of informative hypotheses for structural equation models, using the free open-source R packages bain, for Bayesian informative hypothesis testing, and lavaan, a widely used SEM package. The introduction provides a brief non-technical explanation of informative hypotheses, the statistical underpinnings of Bayesian hypothesis evaluation, and the bain algorithm. Three tutorial examples demonstrate informative hypothesis evaluation in the context of common types of structural equation models: 1) confirmatory factor analysis, 2) latent variable regression, and 3) multiple group analysis. We discuss hypothesis formulation, the interpretation of Bayes factors and posterior model probabilities, and sensitivity analysis

Classifying Latin Inscriptions of the Roman Empire: A Machine-Learning Approach

Large-scale synthetic research in ancient history is often hindered by the incompatibility of tax- onomies used by different digital datasets. Using the example of enriching the Latin Inscriptions from the Roman Empire dataset (LIRE), we demonstrate that machine-learning classification mod- els can bridge the gap between two distinct classification systems and make comparative study possible. We report on training, testing and application of a machine learning classification model using inscription categories from the Epigraphic Database Heidelberg (EDH) to label inscriptions from the Epigraphic Database Claus-Slaby (EDCS). The model is trained on a labeled set of records included in both sources (N=46,171). Several different classification algorithms and parametriza- tions are explored. The final model is based on Extremely Randomized Trees algorithm (ET) and employs 10,055 features, based on several attributes. The final model classifies two thirds of a test dataset with 98% accuracy and 85% of it with 95% accuracy. After model selection and evaluation, we apply the model on inscriptions covered exclusively by EDCS (N=83,482) in an attempt to adopt one consistent system of classification for all records within the LIRE dataset

Digital Scholarly Editions as Interfaces

The present volume “Digital Scholarly Editions as Interfaces” is the follow-up publication of the same-titled symposium that was held in 2016 at the University of Graz and the twelfth volume of the publication series of the Institute for Documentology and Scholarly Editing (IDE). It is the result of a successful collaboration between members of the Centre for Information Modelling at the University of Graz, the Digital Scholarly Editions Initial Training Network DiXiT, a EC Marie Skłodowska-Curie Action, and the IDE. All articles have undergone a peer reviewing process and are published in Open Access. They document the current state of research on design, application and implications of both user and machine interfaces in the context of digital scholarly editions. The editors of the volume are grateful to the Marie Skłodowska-Curie Actions for enabling not only the symposium in 2016 but also the publication of the present volume with their financial support. Special thanks are also due to the staff of the Centre for Information Modelling, above all Georg Vogeler, who contributed to the successful organisation and completion of the symposium and this volume with their ideas and continuous support. Furthermore we want to thank all authors as well as all peer reviewers for the professional cooperation during the publication process. Last but not least we want to thank the many people involved in creating the present volume: Barbara Bollig (Trier) for language corrections and formal suggestions, Bernhard Assmann and Patrick Sahle (Cologne) for support and advises during the typese ing process, Selina Galka (Graz) for verifying and archiving (archive.org) all referenced URLs in January 2018, Julia Sorouri (Cologne) for the design of the cover as well as the artist Franz Konrad (Graz), who provided his painting “Desktop” (www.franzkonrad.com/gallery/desktop-2008-2010/) as cover image. We hope you enjoy reading and get as much intrigued by the topic “Digital Scholarly Editions as Interfaces” as we did

5. Barely Beyond the Book?

‘There is nothing deterministic about the Internet’ Of methodological interaction and paradigmatic regression This is a story about the methodological interaction between two scientific fields, that of textual scholarship and that of computer science. The names of the fields, however, only imprecisely delineate the permeable boundaries between research domains where methodologies interact–for obviously the world is much more fluid than such nouns suggest. The interactions of interests are muc..