Drawing on experience gained from building a feminist digital humanities project in Linked Open Data (LOD), this article outlines five principles for authoring data for feminist scholarship and research. Using data from the New York–based Heresies: A Feminist Publication on Art and Politics, the AdArchive project represents advertising information from the magazine using RDF triples – the building blocks of LOD – in a dataset that will be both interoperable with other datasets and queryable on the larger Semantic Web. With an explicit commitment to feminist praxis, the AdArchive project provides a practical example of how data authoring can be shaped by feminist orientations. Ultimately, we argue that there is no neutral digital form or tool in either LOD or other digital environments, but researchers can successfully practise feminism when approaching the remediation of data.

In this case study we discuss different approaches to the study of literature in digital humanities and try to join two methodologies, namely distant reading and spatial analysis. We first describe shortly the two projects involved, the Atlas of Literary Landscapes of Mainland Portugal and Literateca, highlighting and quantifying the different ways to deal with place in literature in Portuguese. Then we describe some different paths to compare and harmonize the two approaches, focusing on annotation, extraction and geocoding of place names.

This article introduces the Hansard at Huddersfield web application, which allows users to make a range of different searches of the Hansard data (1803–2021) and which draws on the insights of corpus linguistics (CL) and visualization techniques to appeal to researchers from backgrounds where these approaches are relatively underused. The web application aims to be accessible and includes advice on interpreting the results of searches as well as always allowing the user to access the original Hansard text. This article explains the scope and functionality of the site as well as its architecture, and gives example uses of the system.

Drawing insight from Toyin Falola’s call for African scholars to Africanize knowledge, this article argues for reviewing the digital technological tools used for African Studies research to process and present African data properly. To achieve this, the inadequacies of digital humanities (DH) for specific areas of African Studies will be highlighted, especially in the deployment of digital humanities tools. The major challenge is the distortion and constraint experienced in processing and presenting research through DH means of translation and communication. The article argues that such technological limitation has its root in the incompatibility of the epistemological frameworks within which those digital tools were developed. The article discusses Ojú lòrówà (‘discussion is in the eye’), that is, ‘communication takes place when we see physically’ – a theory of communication in African society used as a model to highlight the importance of African context to African scholars in their exploration of African history, technology, culture, philosophy and tradition. The indigenous theory is an appropriate model for developing digital and virtual software for African scholars in human communication. The article concludes by urging scholars in African Studies to ensure that the digital tools employed in African Studies can collect data and process and present data adequately without losing the original meaning or sense.

Machine translation (MT) significantly contributes to democratizing access to textual information across multiple languages and is established as a dynamic language service in the global multilingual society. Not surprisingly, the attractiveness of the MT market has stirred up spectacular innovations, driven by artificial intelligence in the digital technology industry. The commercial stakes of the industry has led to massive investments in the development of automatic translation systems for languages of wider communication and an increased marginalization of minority languages in this avenue. This article reports on the on-going development of a low-tech, rule-based MT system for Ewondo, a Bantu low-resourced language spoken in Cameroon. The project aims to fill the gap in access to MT services in the target minority language community and to generate parallel corpora from and into the Ewondo language.