Alexandra Bolintineanu, C. E. M. Henderson, Ana Algarvio Alves Wong, Dionysus Cho, Robyn Jane Carino, Kathy Du
{"title":"“A certain enemy robbed me of my life”: Medieval Riddles, Digital Transformations, and Pandemic Pedagogy","authors":"Alexandra Bolintineanu, C. E. M. Henderson, Ana Algarvio Alves Wong, Dionysus Cho, Robyn Jane Carino, Kathy Du","doi":"10.16995/dm.8177","DOIUrl":"https://doi.org/10.16995/dm.8177","url":null,"abstract":"This essay examines a Fall 2020 assignment for a second-year undergraduate “Introduction to Digital Humanities” course as a case study of digital experiential learning during the Covid-19 pandemic.\u0000\u0000The essay is a collaboration between the course instructor (Bolintineanu) and teaching assistant (Henderson), with our student game creators (Alves, Carino, Cho, Du). We situate the assignment, which invites students to transform a medieval riddle into a Twine game, within Digital Humanities (DH) Inquiry-Based Learning (IBL), at the crossroads of archive-centred learning and critical making; and we examine contributions by four student game creators within the pedagogical poetics of the early medieval riddle tradition.","PeriodicalId":440678,"journal":{"name":"Digital Medievalist","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115800572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
H. Wijsman, Toby Burrows, L. Cleaver, Doug Emery, E. Hyvönen, M. Koho, Lynn Ransom, E. Thomson
{"title":"Medieval manuscripts and their migrations: Using SPARQL to investigate the research potential of an aggregated Knowledge Graph","authors":"H. Wijsman, Toby Burrows, L. Cleaver, Doug Emery, E. Hyvönen, M. Koho, Lynn Ransom, E. Thomson","doi":"10.16995/dm.8064","DOIUrl":"https://doi.org/10.16995/dm.8064","url":null,"abstract":"Although the RDF query language SPARQL has a reputation for being opaque and difficult for traditional humanists to learn, it holds great potential for opening up vast amounts of Linked Open Data to researchers willing to take on its challenges. This is especially true in the field of premodern manuscripts studies as more and more datasets relating to the study of manuscript culture are made available online. This paper explores the results of a two-year long process of collaborative learning and knowledge transfer between the computer scientists and humanities researchers from the Mapping Manuscript Migrations (MMM) project to learn and apply SPARQL to the MMM dataset. The process developed into a wider investigation of the use of SPARQL to analyse the data, refine research questions, and assess the research potential of the MMM aggregated dataset and its Knowledge Graph. Through an examination of a series of six SPARQL query case studies, this paper will demonstrate how the process of learning and applying SPARQL to query the MMM dataset returned three important and unexpected results: 1) a better understanding of a complex and imperfect dataset in a Linked Open Data environment, 2) a better understanding of how manuscript description and associated data involving the people and institutions involved in the production, reception, and trade of premodern manuscripts needs to be presented to better facilitate computational research, and 3) an awareness of need to further develop data literacy skills among researchers in order to take full advantage of the wealth of unexplored data now available to them in the Semantic Web.","PeriodicalId":440678,"journal":{"name":"Digital Medievalist","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133030717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Digital Approaches to Manuscript Abbreviations: Where Are We at the Beginning of the 2020s?","authors":"Alpo Honkapohja","doi":"10.16995/dm.88","DOIUrl":"https://doi.org/10.16995/dm.88","url":null,"abstract":"Abbreviations have been an important qualitative means for dating and localising manuscripts. In digital scholarship, however, they have received less attention. Reasons for this range from digital resources inheriting editorial traditions from print to normalisation being a prerequisite for many research questions. The aim of this paper is to build bridges by giving an overview of scholarship into digital and quantitative approaches – taking into account English, French, Old Norse and, to a lesser extent, Dutch, German and Celtic scholarship. It also makes a theoretical contribution by placing abbreviations into a typology of writing systems and proposing that the terms conditioned and unconditioned variation in analogy with phonology could be useful for studying abbreviation.","PeriodicalId":440678,"journal":{"name":"Digital Medievalist","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126816760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Data-Driven Syllabification for Middle Dutch","authors":"Wouter Haverals, Folgert Karsdorp, M. Kestemont","doi":"10.16995/dm.83","DOIUrl":"https://doi.org/10.16995/dm.83","url":null,"abstract":"The task of automatically separating Middle Dutch words into syllables is a challenging one. A first method was presented by Bouma and Hermans (2012), who combined a rule-based finite-state component with data-driven error correction. Achieving an average word accuracy of 96.5%, their system surely is a satisfactory one, although it leaves room for improvement. Generally speaking, rule-based methods are less attractive for dealing with a medieval language like Middle Dutch, where not only each dialect has its own spelling preferences, but where there is also much idiosyncratic variation among scribes. This paper presents a different method for the task of automatically syllabifying Middle Dutch words, which does not rely on a set of pre-defined linguistic information. Using a Recurrent Neural Network (RNN) with Long-Short-Term Memory cells (LSTM), we obtain a system which outperforms the rule-based method both in robustness and in effort.","PeriodicalId":440678,"journal":{"name":"Digital Medievalist","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115259367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Querying Variants: Boccaccio’s ‘Commedia’ and Data-Models","authors":"Sonia Tempestini, E. Spadini","doi":"10.16995/dm.81","DOIUrl":"https://doi.org/10.16995/dm.81","url":null,"abstract":"This paper presents the methodology and the results of an analytical study of the three witnesses of Dante’s Commedia copied by Giovanni Boccaccio, focusing on the importance of their digital accessibility. These extraordinary materials allow us to further our knowledge of Boccaccio’s cultural trajectory as a scribe and as an author, and could be useful for the study of the textual tradition of Dante’s Commedia. In the first section of the paper, the manuscripts and their role in previous scholarship are introduced. A thorough analysis of a choice of variants is then offered, applying specific categories for organizing the varia lectio. This taxonomy shows how fundamental it is to combine the methodological tools for studying copies (as usual in medieval philology) and those for studying author’s manuscripts (as usual in modern philology) in dealing with the three manuscripts of Boccaccio’s Commedia: in fact, the comparative analysis of the three manuscripts has much to reveal not only of their genetic relationship but also of Boccaccio’s editorial practices. Furthermore, the analytic categories inform the computational model behind the web application ‘La Commedia di Boccaccio’, created for accessing and querying the variants. The model, implemented in a relational database, allows for the systematic management of different features of textual variations, distinguishing readings and their relationships, without setting a base text. The paper closes on a view to repurposing the model for handling other textual transmissions, working at the intersection between textual criticism and information technology.","PeriodicalId":440678,"journal":{"name":"Digital Medievalist","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114034734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Automatic Scribe Attribution for Medieval Manuscripts","authors":"Mats Dahllöf","doi":"10.16995/DM.67","DOIUrl":"https://doi.org/10.16995/DM.67","url":null,"abstract":"We propose an automatic method for attributing manuscript pages to scribes. The system uses digital images as published by libraries. The attribution process involves extracting from each query page approximately letter-size components. This is done by means of binarization (ink-background separation), connected component labelling, and further segmentation, guided by the estimated typical stroke width. Components are extracted in the same way from the pages of known scribal origin. This allows us to assign a scribe to each query component by means of nearest-neighbour classification. Distance (dissimilarity) between components is modelled by simple features capturing the distribution of ink in the bounding box defined by the component, together with Euclidean distance. The set of component-level scribe attributions, which typically includes hundreds of components for a page, is then used to predict the page scribe by means of a voting procedure. The scribe who receives the largest number of votes from the 120 strongest component attributions is proposed as its scribe. The scribe attribution process allows the argument behind an attribution to be visualized for a human reader. The writing components of the query page are exhibited along with the matching components of the known pages. This report is thus open to inspection and analysis using the methods and intuitions of traditional palaeography. The present system was evaluated on a data set covering 46 medieval scribes, writing in Carolingian minuscule, Bastarda, and a few other scripts. The system achieved a mean top-1 accuracy of 98.3% as regards the first scribe proposed for each page, when the labelled data comprised one randomly selected page from each scribe and nine unseen pages for each scribe were to be attributed in the validation procedure. The experiment was repeated 50 times to even out random variation effects.","PeriodicalId":440678,"journal":{"name":"Digital Medievalist","volume":"185 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116378929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}