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Paleographical features can be extracted from digitized images by applying deep machine learning. This paper presents an unsupervised deep-learning method for determining script types and modes for medieval Hebrew manuscripts. The results would be presented vs. the previously published results of supervised deep learning for the same datasets.

This contribution deals with Dynamic Topic Modelling of Austrian historical newspapers (found in the ANNO Corpus), focusing on the time period from the 18th to the mid-20th Century. The aim of the investigation is to uncover the development of the topic surrounding migration from and via Southeast Europe to Austria.

A blueprint for establishing a workflow for generating research data in humanities research projects using the example of the project Exil.Trans. FAIR criteria as well as Linked Open Data principles and ontology-based modeling are addressed.

This paper explores representations of holiness in a collection of 63.000 lantern slides. Using the multimodal model CLIP, it sheds light on the transition between the real and the imaginary, the holy and the profane. It demonstrates how CLIP can help scholars deal with complex visual concepts such as holiness.

This paper applies a sound studies approach to a literary studies use case: Using a mixed-methods approach, we investigate whether there is a correlation between the description of sounds and suspenseful text passages in a 19th-century English novel corpus. Our hypothesis is that suspenseful passages contain more detailed descriptions of the story's soundscape than unsuspenseful passages.

We analyze changes in the business network of Interwar Yugoslavia using computational network analysis. We extract data from Compass, a yearly directory of directors in Central European companies. We combine qualitative and quantitative methods to give insight into the evolution of the Yugoslavian business in a significant historical context.

PUDEL is a new service for sharing and documenting DH data models. It is developed as a free and open-source software, and can easily be included into existing DH research practices. It provides institutions, researchers and specialists with the tools for sharing and preserving their data models.

This contribution discusses how collaboration between content holder, researchers, software engineers, experts in digitisation and in corpus building has drastically improved the digitisation workflow and the output of a corpus of 17th century newspapers.

In this panel we offer a multifaceted and interdisciplinary perspective on the development of the Sloane Lab. We contextualise it both within a wider, nationally-funded drive to make the UK's cultural heritage, and information about it, computationally tractable and the more internationally-positioned work of 'Collections as Data'.

This paper contributes to the assessment of various – possibly impacting – factors during the collection of ground truth data for training HTR-systems. By scrutinising different parameters (e.g. scribal hands, handwriting styles, spelling profiles, textual genres, etc.) we will report on the impact of various train-target combinations.

Replication studies are generally considered an important way of checking the generalizability of research results. However, in the humanities they are still comparatively rare. We argue that data-driven studies in particular are in need of replication and demonstrate the need in a case study on German academic language.

Traditionally, two approaches have developed in dialectology that focus on researching lexical variation: on the one hand, dialect dictionaries, whose task is to document dialect vocabulary; on the other hand, dialect atlases, whose focus is on linguistic-geographical variation in dialect vocabulary. The Wörterbuch der bairischen Mundarten in Österreich (WBÖ), a long-term project of the Austrian Academy of Sciences (ÖAW), is an undertaking of the first type. Until 2015, the first five volumes (A–Ezzes) were published as printed works; since 2018, the Lexikalisches Informationssystem Österreich/Lexical Information System Austria (LIÖ) has served as the publication platform for the articles starting with the letter F. LIÖ is a cooperation project between the Austrian Centre for Digital Humanities and Cultural Heritage (ACDH-CH) of the ÖAW and the FWF Special Research Programme German in Austria (DiÖ) of the University of Vienna. At the moment, the information system only contains content related to the WBÖ project itself. As a lexically oriented platform, however, its content is to be expanded in the coming years, i.e. lexical material from other corpora is also to be made accessible via it. A first expansion of LIÖ will take place in October 2022 with the pilot study DWA Austria, a cooperation project between the Research Center Deutscher Sprachatlas (DSA) of the Philipps University of Marburg and the Department of Linguistics of the ACDH-CH. Within the framework of this cooperation, the entire Austrian surveys of the Deutscher Wortatlas/German Word Atlas (DWA) are to be digitally processed for the first time. Last but not least, the project will serve to expand the paradigm for researching lexical variation described above to include a dialect-geographical component. In this collaboration, the Marburg team will provide the high-resolution scans of the DWA surveys. The team in Vienna is building a model for automatic transliteration on this basis with the help of the Transkribus software, which in turn can be used by the DSA team for the German DWA sheets. The surveys for the DWA were conducted indirectly between 1939 and 1942 and are still among the most comprehensive surveys of the 20th century. Questionnaires were sent to a total of about 50,000 places, 3,700 of which are in the territory of the Republic of Austria. Since previous automatic text recognition methods (i.e. OCR) have only provided insufficient results, the questionnaires, which were mostly handwritten, had to be laboriously transliterated manually. The recent use of artificial intelligence (AI) has been showing promising results for several years. With the help of the Transkribus platform, the Austrian DWA questionnaires are now being captured and made usable as part of a pilot study. Unlike conventional OCR products, Transkribus uses artificial intelligence (AI) to convert the written content of digital records into searchable text. The scans of the DWA sheets were made by the DSA and made available to the ACDH-CH. There, in a first step, they manually transliterate a set of scanned sheets. This step can be supported by already existing models that are, for example, tailored to German Kurrent script. Based on these correct transliterations and the corresponding scans, a model can now be built with the help of Deep Learning that is tailored to the document type. The layout of the text is also taken into account. First models on the minimum amount of training material still showed a rather high error rate (CER Val. 9.4) and have been continuously improved since then. The pilot study DWA Austria shows how data sets that could previously only be used to a limited extent due to time-consuming and costly efforts can now be opened up by AI-supported methods to an extent that would not have been possible with conventional methods. In particular, the example shows how the respective expertise of the individual project partners can bring about a significant increase in efficiency and thus once again illustrates the potential for synergies that result from cooperation. Bibliography: DiÖ = SFB German in Austria. URL: https://www.dioe.at/en/ [2023-05-01] DSA = Forschungszentrum Deutscher Sprachatlas. URL: https://www.uni-marburg.de/en/fb09/dsa [2023-05-01] DWA = Mitzka, Walther & Ludwig Erich Schmitt. 1951 – 1980. Deutscher Wortatlas. Gießen: Schmitz LiÖ = Lexikalisches Informationssystem Österreich. URL: https://lioe.dioe.at/ [2023-05-01] Transkribus. AI powered Handwritten Text Recognition. URL: https://readcoop.eu/transkribus/ [2023-05-01] WBÖ = Österreichischen Akademie der Wissenschaften. 1970 – 2015. Wörterbuch der bairischen Mundarten in Österreich. Wien: Verlag der Österreichischen Akademie der Wissenschaften.

Artificial Intelligence (AI) technologies such as Deep Learning and Transfer Learning are rapidly advancing text and image classification in many disciplines (e.g., Lucas et al. 2022, Huang et al. 2022, Kumar et al. 2020). With the progressing digitisation of cultural heritage, AI increasingly finds applications in arts and humanities disciplines as well (Cetinic et al. 2019, Saleh / Elgammal 2016). It is evident that AI technologies open new possibilities for processing and analysing large, heterogeneous historical data corpora in a semi-automated way (Im et al. 2022). But do they have the potential to “overturn intellectual legacies” and to revolutionise the field? In the project Ottoman Nature in Travelogues (ONiT 2023) we strive to leverage the application of AI technologies to historical research by developing an interdisciplinary methodological framework for the semi-automated, AI-driven analysis of text–image relations. Our object of study is a large multilingual corpus of travelogues printed 1501–1850 (Rörden et al. 2020) that contains representations of Ottoman “nature” (i.e., flora, fauna, landscapes) both in text and image. This short presentation focuses on our first results achieved for improving image classification of historical prints (i.e., mostly woodcuts, engravings, and etchings). We present our approach to robustly identify and classify key image types in our corpus and discuss challenges and lessons learned during this process. &nbsp

Our work considers how new advances in pretrained text-to-text generation models might make named entity recognition more accurate, flexible, and streamlined for the digital humanist. We provide an example of how text-to-text generative models can identify mentions of characters, authors, and book names within Goodreads book reviews.

This half-day workshop discusses the Taxonomy of Digital Research Activities in the Humanities (TaDiRAH) as a collaborative community effort in the context of multilingualism, and its role as a tool in research data management. It brings together previous collaborators and those interested in shaping TaDiRAH further.

The poster develops and discusses a new technique of modeling prototypicality in genre concepts based on the c@1-score as an uncertainty-based accuracy score and perspectival modeling within the framework of supervised machine learning. The technique is intended to provide better understanding of loosely ordered genres.

OstData is a research data service for Central, East, and Southeast European Studies. Based on its fine-grained metadata schema and faceted classification system, the research data repository and discovery system enables interdisciplinary collaboration as opportunity and fosters networking of national and international research communities, research infrastructures, and funders.

I will present the project of building a database of historical Polish lexicons. The most important dictionaries with Middle Polish material will be digitized in steps: HTR recognition, XML tagging, morphosyntactic tagging. We intend to prepare the API that could be connected with sources of Middle Polish or Latin used in Poland.

Manu McFrench is a handwritten text recognition (HTR) model dedicated to French texts from the modern and contemporary periods. It was trained using data generated through the CREMMA infrastructure and/or shared via the HTR-United catalog. We demonstrate its usefulness to reduce the costs of training such models for specific handwritings.

This contribution illustrates the preliminary results of the project concerning Giorgio Bassani's personal library. The project provides both a printed traditional edition of the notes he wrote on his books and the development of a digital environment to browse and analyze them.

The Institute for Balkan Studies of the Serbian Academy of Sciences and Arts runs a project of digitisation of Roman Inscriptions from the territory of Serbia, that will be encoded in EpiDoc TEI-XML and published in an open, digital archive of Latin and Greek inscriptions.

This paper presents an evaluation and comparison of three state-of-the-art models for text summarization, and proposes a new digital reading interface designed for neophyte users to exploit these models, as well as automatic keyword extraction, with little or no programming experience.

The poster will reflect on significant waypoints in the course of creating the data model for SemanticKraus – a project concerned with integrating different Karl Kraus-related research data, converting it into Linked Data, and by doing so linking past and future Kraus research to the Semantic Web.

In this work, we present a workflow for semi-automatic extraction of geo-references and motion events from the book "The Travels of Marco Polo". These are then used to create 3D renderings of the space and movement which allows readers to visually trace Marco Polo's route themselves to provide the exprience of the entirety of the journey.

The main objective of CrowdHistory project is to identify, analyse, test and standardise methodological practices of citizen participation in Spanish R&D projects from the perspective of Digital Humanities, both within and outside the academic field.

This contribution presents a proposal for the demarcation of Digital Humanities (DH), that is, a systematic way to determine to what extent something (a project, a research group, a curriculum, etc.) can be considered as part of DH. For this purpose, a system of levels and thresholds is applied.

In this presentation, I aim to demonstrate how the recently introduced CLIP-model can be used as a valuable tool to access and analyse digitised manuscripts without the need of providing manual transcriptions first. This entails a shift which would allow the efficient browsing of digital images of any handwritten document.

The ERC-funded ModERN project is investigating 18th-century authorship practices using data-rich computational techniques to examine the digital archive of the Enlightenment period. This paper explores the use of new large-scale text reuse detection and network analysis to identify intertextual 'influencers' in a large heterogeneous collection of 18th-century French texts.

Our goal is to collect the sounds of Hebrew and to make them accessible for linguistic studies and cultural heritage preservation. Our presentation is focused on the pipeline we have developed and on two main tools that we have developed for it: 1. A Hebrew sound parser and 2. The database platform.

In this presentation, we present the project Access & Discovery of Documentary Images (ADDI), collaborative work that with the U.S. Library of Congress. We will discuss how current scholarship has guided our creation of a digital interface and what we have learned about computer vision through the project.

This paper presents experiments on tracing the shift toward "objectivity" in encyclopedias of the long nineteenth century, as discussed by scholars, via query of surface features (personal pronoun, exclamation points, and interjections) and emotion analysis. We report a decline in these personal and emotive, and thus less "objective", textual characteristics.

We present an overview of the final results of the annotation task of the Emotions in Drama (EmoDrama) research project which are corpora of 18 historical German plays annotated with over 21,000 emotion annotations. We present distribution results, agreement statistics and discuss application areas of this unique corpora.

Studies in the humanities are increasingly incorporating methods from information theory, which are based on dynamics in word usage and measures of relative entropy. This paper uses windowed relative entropy to thematic text representations to generate signals that capture information novelty and resonance and, aggregated on the actor-level, shed light on the innovators of the past. Comparing early modern chronicles and twentieth-century parliamentary debate we aim to investigate several dimensions of innovation in historical language records.

This presentation will define curational diversity based on cultural networks and a methodology to assess it. Additionally, the proposed methodology will be applied to conduct a longitudinal analysis of Boletín Cultural y Bibliográfico, a cultural magazine published by the Office of Cultural Affairs of Banco de la República de Colombia.

This workshop will explore strategies for teaching visualization literacy - from sketching to creating visualizations using computational tools. Led by instructors from the humanities, visual analytics, design, and computer science, sessions will discuss different methodologies and challenges of teaching visualization to audiences with varied technical and disciplinary expertise and goals.

This poster will present the results of a 10-year study into the post-degree professional pathways of the graduates of Trinity College Dublin's MPhil programme in Digital Humanities and Culture. It will also look at curricular changes made because of, and wider questions about DH raised by, these findings.

We present a modeling of document dates such that it can allow scholars to express uncertainty when annotating data, act as a differentiable loss function for training models and allow for unbiased interpretable performance evaluation under uncertainty.

MemoRekall is a free and open-source web app to annotate a video enhanced by adding notes, documents, or web links. Originally conceived for the preservation and documentation of performing arts, two European citizen science projects (COSMIC and COESO) lead to broaden its uses and develop new functionalities. Both projects share the same methodological approach, based on action research and co-design. This paper will present this co-construction methodology, at the heart of MemoRekall's development from the outset, how it impacted the two new versions of MemoRekall, and its contribution to the study of collaboration in the context of citizen science projects. MemoRekall is a free and open-source web app to annotate a video enhanced by adding notes, documents, or web links. Originally conceived for the preservation and documentation of performing arts, two European citizen science projects (COSMIC and COESO) lead to broaden its uses and develop new functionalities. Both projects share the same methodological approach, based on action research and co-design. This paper will present this co-construction methodology, at the heart of MemoRekall's development from the outset, how it impacted the two new versions of MemoRekall, and its contribution to the study of collaboration in the context of citizen science projects.

In this stylometric study, the oeuvre of the Swedish author Henning Mankell is scrutinized and compared to the Dutch translations of his work to find out to what extent the style is influenced by the translator. The main method used is Burrows' Zeta as proposed by Rybicki (2012).

At present there is no way to search the corpus of Greek papyri for lemmas, or to search for specific grammatical forms of a word. Much less is there a way to search for examples of a grammatical category. Polyphemus comes to solve these shortcomings, and some more. For this purpose we have processed all the papyrus texts from PapyInfo (). This processing is done at the same time as the processing that results in the Callimachus database, which we also present at this DH Congress Congress. I summarize below the procedure by which we obtain our database Polyphemus. A) First we analyze each line of papyrus and differentiate the actual full words from the gaps or non-textual elements. B) Then we identify the complete words and separate them from the fragments. This can sometimes be done because of the editorial criteria used in the original edition, before digitizing. Other times it is necessary to check if the text meets some of the external qualities that define a word in ancient Greek (presence of accentuation, etc.). C) We then proceed to lemmatize each of the words, and determine to which part of speech it corresponds, and what is its morphological analysis. All this is done with the help of the Madrid list, which I will discuss below. For text fragments (incomplete words), we try to see if they can be ascribed to a root. We also separate proper nouns from common nouns. D) Lemma assignment and POS-tagging is performed in two phases. In a first pass we tag the forms with the highest frequency of occurrence. We calculate this from the frequency with which lexical forms were tagged in several manually annotated treebanks (over 700,000 words). We then go on to label all the remaining forms using the Madrid Wordlist. The Madrid Wordlist incorporates information about the dialect in which a form appears, so in case of multiple possible analyses we prefer those belonging to Koine (the Greek form of Papyri Greek) or Attic Greek. Naturally this procedure has the consequence that we reduce the number of multiple analyses for the same form (thus drastically reducing the number of false positives) in exchange for losing the correct POS- tagging for low-frequency forms that coincide with high-frequency ones. E) All this information is transferred to a SQL database, and put in relation with the data on the papyri that we have obtained when creating the Callimachus database. In this way, for each lexical form we obtain a lemma, a non-disambiguated morphological analysis, and a translation or gloss. Each of these parameters can be searched in combination with the more than fifty categories available to us thanks to Callimachus, such as date, origin, category, extension, subject, etc. To date, we have been able to analyze 97% of the complete words, including proper names, which are very numerous. 4. The Madrid Ancient Greek Word List The lemmatization and analysis in Parts Of Speech (POS tagging) is performed by comparing each record in our database with the records of a word list that we have created over the last 3 years, which we have called the Madrid Ancient Greek Wordlist. Most of the Ancient Greek wordlists are evolutions, simplifications, or improvements from the Morpheus list developed by Gregory Crane between 1984 and 1990 (Crane 1991; Celano et al. 2016). Our list also starts with Morpheus, but has been enriched with our own treebank (Aristarchus Treebank, 200,000 words; cf. Riaño 2006), and almost 100,000 proper names from The Lexicon of Greek Personal Names and the Trismegistos repository of papyrological and epigraphic resources. All these data were processed to obtain morphological information. I have manually entered several hundred (mostly irregular) pronominal forms in this list. To complete this list I have processed the digital version of the Greek-English Lexicon of Liddell-Scott-Jones, and extracted all the nominal lemmas; then I have determined the declension of each one of them, and I have proceeded to decline each lemma in its Attic and Ionic form by means of a program we have developed. Then we search for each of these forms in the papyri. The program thus produces over 600,000 lexical forms (many of them already in the Morpheus list). The lemmas are then assigned a translation, or rather a gloss

Encouraging the use of the digitized materials is a complex goal that involves each - cultural heritage institutions, research funding frameworks, and researchers to some degree. These developments have led a few institutions to initiate GLAM Labs (glamlabs.io) that focus on developing the digital opportunities afforded by galleries, libraries, archives, museums. Following the role models in the international community, the National Library of Estonia has been developing a virtual lab - a portal and an interface for users to gain access and find uses to digital data. This entails keeping in mind the interests of many stakeholders - balancing the needs and opportunities for the library with the requirements for the collection user. We present the virtual lab, its tools and datasets, as launched in January 2023. We will show the journey there and the conclusions made on the basis of this. During the development, we have piloted several interface options to access text sources in bulk and share our data in multiple accessible formats. We've conducted a service design as well as a legal analysis to understand the interests of the representative members of the potential user community and how the library can respond to them. Our virtual lab has aimed to learn from the GLAM Labs in other institutions (see e.g. Mahey et al. 2019). We aim to build our user community so that the researchers get the credit due for their work, and will be offered a place to showcase their work. So that the work done in transforming and enhancing the data by the users would find its way back to the library. And that library itself would get feedback on its collections and find value in its novel potential uses. We will discuss the lessons learned during the development process. We offer access to the open textual resources among the newspapers, periodicals, and book publications 1800-2022, the data from the national bibliography, as well as a number of thematic collections built around it. Our tools include a few visualization tools and interfaces to manipulate and query the data online. And we feature a number of blog posts based on the case studies performed on our collections by students and researchers. These digital collections offer new opportunities for cultural heritage institutions as well as their visitors and users, but the process towards it requires learning from various perspectives. Through encouraged use cases, the users learn better to anticipate and benefit from what the library collections can offer, and the library can incrementally improve the resources that it can offer the users while learning about the value found in these resources. We argue that for a successful project, collaboration is key between these different actors based on their interests, and aspire to offer a good example in how this can be organized in a small community. References Mahey, M., Al-Abdulla, A., Ames, S., Bray, P., Candela, G., Chambers, S., Derven, C., Dobreva-McPherson, M., Gasser, K., Karner, S., Kokegei, K., Laursen, D., Potter, A., Straube, A., Wagner, S-C. and Wilms, L. with forewords by: Al-Emadi, T. A., Broady-Preston, J., Landry, P. and Papaioannou, G. (2019) Open a GLAM Lab. Digital Cultural Heritage Innovation Labs, Book Sprint, Doha, Qatar, 23-27 September 2019.

VedaWeb is an established research website for the ancient Vedic text Rigveda. It now evolves into an open collaborative platform for researching and sharing Vedic Sanskrit language data in a broader perspective. How will the new platform stimulate collaborative processes among researchers of Vedic Sanskrit and beyond?

We present a comparison of the results of the projects Novel Perceptions (2021-2023, United Kingdom) and The Riddle of Literary Quality (2012-2019, Netherlands), both combining a computational analysis of a corpus of 400 novels with the outcomes of a large survey in which readers shared their opinions about these novels.

The theatrical agency of the Viennese court between 1758 and 1763 is documented by Philipp Gumpenhuber's chronicle, an unique and exceptional source that offers insights into the theatrical, social, and political court life. The project's aim is to create a scholarly digital edition (GuDiE) of the theatre chronicles.

Digital humanities is deeply collaborative and the importance of project planning in the field has grown due to work shifting to hybrid or remote environments. This paper aggregates project planning literature from the point of view of Centers for Digital Humanities (CDH) management to analyze key questions in project planning.

Institutionalized DH units are primed to transform their superordinate humanities organizations as their core skills and values map requirements of organizational development. The concepts of "organizational ambidexterity" and "embeddedness" empowers DH units to evolve their organizations integratively while remaining true to their own mission and practices.

This paper presents a platform providing a digital census of copies of a limited number of printed editions and mapping their owners and readers' annotations represented in an RDF framework. Its ResearchSpace instance, magnetic-margins.com, provides interactive statistical analyses of the data that is encoded predominantly using CIDOC-CRM and FRBRoo.

ARS is a networking platform for architecture research that enables new interdisciplinary collaborations. The presentation outlines the infrastructural need for a platform like ARS and explains the underlying collaboration model relying on graph-technology. A showcase of the prototype displays and discusses learnings from first user tests and the development process.

This paper utilizes the concept of remediation (of research conceptualization, of data, and by interfaces) to describe the processes developed by Linked Infrastructure for Networked Cultural Scholarship (LINCS), a Canadian infrastructure project for mobilizing Canadian scholarship through the creation, dissemination, and use of linked open data (LOD).

Conflict simulations are a useful tool to confront students with the general problems of formalizing problems in abstracts models. In this showcase workshop participants will design games on a historical topic, play and compare their solutions.