Travel literature not only provides relevant information about cultural heritage, such as authorship, chronology or location, but also reveals the impressions evoked by its reception. This article describes the methodology of the ongoing REWIND project, which explores European cultural heritage through the perspectives of Latin American women writers who travelled to Europe in the early twentieth century. The project seeks to amplify the voices of non-European women committed to feminism and sociocultural diversity to foster decolonial, inclusive and pluralistic historical narratives. On the one hand, we address the configuration of the project corpus, the semantic annotation process, and the design of the ontological modelling according to the deep data concept. On the other hand, we explain the analysis of the relationships between cultural heritage, time, space and emotion. The project uses travel literature in digital format to retrieve, study and interpret data on cultural heritage, creating a workflow that integrates information from various historical sources to raise further questions and provide new insights. The proposed methodology follows the FAIR principles and prioritizes using open-source software to ensure reproducibility and facilitate the use of deliverables in other studies.

Inventar Colombia: una mirada desde el Orinoco is a digital research project that seeks to reconstruct aspects of the geographic imagination, forms of relationship with nature and its resources, of at least 15 Indigenous groups that inhabited the Orinoco region between the fifteenth and eighteenth centuries. Responding to the limits to what we can know in the archive about the ways in which various Indigenous groups inhabited and conceived the territory, we carried out a process of curation and extraction of geospatial data in historical and archaeological sources. We identified some patterns of territorial occupation and exchange networks of the multiplicity of Indigenous communities that have inhabited the Orinoco region. From iterations for the construction of maps with QGIS and typical GIS conventions, we explored other forms of visualization and narrative construction to deploy the arguments of the research on the web. We proposed a CSM-free web interface developed with JavaScript and open-source libraries and developed a set of cartographic narratives.

In the face of escalating threats to Armenian cultural heritage in Artsakh due to armed conflicts and destruction, urgent measures are imperative to safeguard this invaluable legacy. The Digital Humanities Institute at the EPFL (École polytechnique fédérale de Lausanne, Switzerland) is leading an effort to digitize the Armenian epigraphic heritage in Artsakh, where inscriptions and toponyms serve as cultural identifiers. Documenting endangered inscriptions and using the <origin>, <origPlace> and <provenance> tags safeguard historical integrity. Integrating GeoNames and Pleiades enhances accessibility and accuracy, bridging perspectives and preserving heritage. The project's bilingual nature amplifies complexity, as English and Armenian representations are layered with intricate grammar nuances. Lemmatization and regularization ensure consistent proper names, particularly across diverse grammatical cases. In a landscape where cultural heritage preservation is needed, the marriage of external resources, Armenian toponyms, lemmatization and regularization ensures historical accuracy and accessibility. This academic set-up clarifies the methodologies and standards used, emphasizing the preservation of Armenian cultural heritage through digital epigraphy. The set-up of the corpus allows for future enrichment by incorporating additional inscriptions, more detailed historical background information and etymological clarifications about the toponyms. This flexibility ensures that the corpus can continue to grow and provide comprehensive insights into the cultural heritage of Artsakh.

This article outlines essential best practices for retro-digitized dictionary projects, using the ongoing MORDigital project (DOI 10.54499/PTDC/LLT-LIN/6841/2020) as a case study. The MORDigital project focuses on digitally transforming the historically significant Portuguese Morais dictionary’s first three editions (1789, 1813, 1823). While the primary objective is to create faithful digital versions of these renowned dictionaries, MORDigital stands out by going beyond the mere adoption of established best practices. Instead, it reflects on the choices made throughout the process, providing insights into the decision-making process. The key topics emphasized include (1) the establishment of a robust data model; (2) the refinement of metadata; (3) the implementation of consistent identifiers; and (4) the enhancement of encoding techniques; additionally exploring the issue of structuring domain labelling. The article aims to contribute to the ongoing discourse on best practices in retro-digitized dictionary projects and their implications for data preservation and knowledge organization.

This article explores the transformative impact of ChatGPT, a Generative Pre-trained Transformers model, on humanities methodologies and its integration into a digital humanities (DH) course. The advent of ChatGPT enhances the capacity of people without coding experience to acquire, process, analyse and interpret art historical data, fostering a unique blend of generative AI development and humanistic inquiries. The article presents pedagogical experiences in incorporating ChatGPT, into a digital humanities course, with a focus on learning prompt engineering, a vital skill in handling art historical data. The iterative process of crafting prompts, receiving responses and refining prompts again enables the model to generate custom solutions tailored to individual inquiries. The practices of processing and analysing data are no longer arcane, exclusive to certain fields; they open up new avenues for research hypotheses that go beyond traditional qualitative and quantitative methods. The article underscores the immense significance of the prompts we input for the tasks at hand and the continuous nature of refinement and improvement in AI.

Phonology is a linguistic discipline that is naturally computational. However, as many researchers are not familiar with the use of digital methods, most of the computation required is still performed by humans. This article presents a training experiment of master’s students of the phonology seminar at the University of Porto, bringing the research process directly to the classroom. The experiment was designed to raise students’ awareness of the potentialities of combining human and machine computation in phonology. The Centre for Digital Culture and Innovation (CODA) readily embraced this project to showcase the application of digital humanities as humanities in both research and training activities. During this experiment, students were trained to collect and process phonological data using various open-source and free web-based resources. By combining a strict protocol with some individual research freedom, the students were able to make valuable contributions towards Creolistic Studies, while enriching their individual skills. Finally, the interdisciplinary nature of the approach has demonstrated its potential within and beyond the humanities and social sciences fields (e.g., linguistics, archaeology, history, geography, ethnology, sociology, and genetics), by also introducing the students to basic concepts and practices of Open Science and FAIR principles, including Linked Open Data.

Historical data poses unique challenges to natural language processing (NLP) and information retrieval (IR) tools, including digitization errors, lack of annotated data, and diachronic-specific issues. However, the increasing recognition of the value in historical documents has promoted efforts to semantically enrich and optimize their analysis. This article contributes to this endeavour by enriching the Corpus de Textos Antigos through NLP tools and techniques to enhance its usability and support research. The corpus undergoes linguistic annotation, including part-of-speech tagging, lemma annotation and named entity recognition (NER). Subsequently, the article delves into the tasks of entity disambiguation and entity linking, which involve identifying and disambiguating named entities by referring to a knowledge base (KB). Addressing the challenges posed by factors such as text state, epoch and the chosen KB, the article presents insights into related work, annotation results and the linguistic interest of a medieval annotated corpus for named entities. It concludes by discussing the challenges and providing avenues for future research in this domain.