Corpus linguistics is an essential tool in digital humanities, and multilingual corpora are valuable resources in cross-linguistic studies. In this article we address the multilingual layout of the TenTen corpus family, questioning the rationale to call it a family, and advancing the idea of different degrees of kinship for its language members. The analysis focuses on the performance of the Sketch Engine Word Sketch tool in the English Web 2020 corpus (enTenTen20) in comparison with the latest release of the arTenTen, Arabic Web 2018 corpus (arTenTen18), which has been processed by CAMeL tools, an Arabic-specific software, and its previous version, the arTenTen12, tagged with Stanford CoreNLP. The study shows the challenges posed by the platform tools and the tagged corpora regarding the dissimilarities between the available data and the reliability of the results of these tools for both languages, as well as the efforts made to tackle the challenges. The concluding remarks point to the need for a better definition of multilingualism in the TenTen corpora and, by extension, in the digital humanities as a whole, based on the structural design of the resources and tools meant for such theoretical aspirations.

This article explores how geocomputational processes can be utilised to re-create historical spatial boundaries using Irish historical data. For this study, a series of spatial objects representing Irish Republican Army (IRA) brigades in County Limerick during 1921 were re-created in R using the Military Service Pension Collection (MSPC), one of the largest archival projects released by the Military Archives of Ireland. Using density equalising projections via cartograms, a series of analyses of the demography of the IRA was undertaken using these internal boundaries. County Limerick along the western seaboard of Ireland was chosen as a case study, as it represents a mixed urban/rural environment outside of the three major population centres on the island of Ireland: Cork, Dublin and Belfast. By deploying a geocomputational approach via the programming language R, this article provides a roadmap for historians and humanities scholars in general to reproduce these findings and spatial boundaries for future research.

Provenance research studies the origin and ownership history of objects including the conditions under which a change in ownership took place. In order to reconstruct the provenance of objects, provenance researchers utilise sources such as archival records, literature and online databases as well as examining the object itself. One essential online database for researchers is German Sales, which contains digitised auction catalogues from mostly German-speaking countries in the period from 1901 to 1945. Several catalogues contain handwritten annotations recording buyers, consignors and prices. However, in contrast to the printed text, the handwritten annotations are currently not searchable. To aid provenance researchers, it is imperative that the annotations be made machine-readable and searchable, which requires transcription, standardisation and enrichment of the handwritten notes. This article tests whether existing platforms, namely Transkribus, eScriptorium and ChatGPT, can be facilitated for the recognition and transcription of handwritten notes. While the experiments show the great potential of these methods, they also emphasise the need to train new models on these auction catalogues’ data.

This article provides an overview of the development of spatial humanities in Mexico, focusing specifically on the Bishopric of Michoacán. This ecclesiastical and jurisdictional unit, established during the Viceroyalty of New Spain, has recently been examined through the lens of spatial humanities. Our review identifies that this approach, when combined with traditional historical methods, can be highly effective in advancing research on territorial reconfiguration processes involving both Spanish and Indigenous actors. Furthermore, we present two examples of geographical text analysis (GTA) applied to the Relaciones Geográficas of Michoacán. Building on this review and the examples, we aim to encourage researchers interested in Mexico's past to enhance the potential of early historical sources by extracting valuable information intertwined with the spatial data contained in these documents.

This article discusses a virtual reconstruction of the catafalque and the ephemeral decorations created for the funeral of Maria Amalia of Saxony in the Cathedral of Barcelona in 1761. A combination of a historical-artistic approach and a variety of 3D modelling techniques has made it possible to recreate an ephemeral piece of architecture that, being constructed only for the funerary ceremony, has not lasted over time, such that the work presented here constitutes a novel strategy to promote a better understanding of another element of our cultural legacy.

Honoured as a Nobel Laureate in 2016, Bob Dylan's song lyrics have garnered well-deserved recognition and appreciation for their themes, content and artistic performances. Part-of-speech characteristics are effective in denoting stylistic features of texts in stylometric studies. The present study carried out a quantitative observation of stylistic features of Dylan's lyrics. Specifically, the study focuses on parts of speech like verbs, adjectives, adverbs, nouns and pronouns. Results of the present study reveal that: (1) Based on the distribution of verbs and adjectives, Dylan's lyrics are significantly active texts, and the activity sequences (Q-sequences) have validated the result in a dynamic way; (2) Dylan's lyrics tend to present the characteristics of a written body; (3) Individualism is prominent in Dylan's lyrics accompanied by the wide use of the first-person singular pronouns.