Critically editing a text using the methods of textual criticism (Blecua, 1983) calls for a sequence of time-consuming tasks that no editor can avoid. One of them (perhaps the most complex and with greatest consequences for the text to be fixed) is the one known as collatio codicum. This basically consists of comparing all the relevant witnesses of a text in order to identify its variants,...
Artificial intelligence designates, in a broad sense, the intelligence of machines and, in a narrower sense, machine learning (machine learning, deep learning), in other words, the software capacity, in particular by the method of neural networks, to make, after having been more or less trained, inferences, identifications and classifications in a more efficient and rapid manner than humans....
In this presentation, I introduce my personal experience in setting up an entire course dedicated to Computational Thinking and Programming for the Digital Humanities and Digital Knowledge (DHDK) international second-cycle degree course at the University of Bologna.
The course is organised to present the essential and practical aspects of Informatics to students in Digital Humanities with...
There is no doubt that programming has become a proven and accepted methodological enabler for many humanities researchers. And yet, the long predicted moment of the post-digital humanities, in which an approach based on technology is as commonplace as one based on theory, still seems to recede in the distance. This talk will explore some of the conditions that bracket computational work in...
Language Models’ performance has proven to be directly related with the number of parameters the models have. There is an international race to compute performant models for all the languages and domains as this will invigorate all the processes that rely on Natural Language. It has been recently shown that domain-specific models are as performant as large scale models while domain-specific...
Digital Humanities research in pré-contemporary textual data is full of challenges. In order to automatically extract knowledge from historical texts, an interdisciplinary approach is needed. Understanding linguistic, cultural and historical phenomena is essential to deal with the problems of developing automatic systems.
In the 18th century, Portuguese texts still did not follow a...
Python is arguably the major programming language for serious Digital Humanities (DH) research. There are new programming languages that work well for DH research, first R and (more recently) Julia, among others. With the rise of special-purpose programming languages that promise better functionality out of the box and faster performance, does that mean that Python is going extinct? This talk...
Natural Language Processing (NLP) is a field of artificial intelligence that studies the understanding and generation of Natural Languages, written or spoken.
In recent years, with the creation of more complex computational models based on deep neural networks, it was possible to significantly increase the performance of NLP systems in several specific tasks, such as, text summarization,...
The project **** has developed algorithms and data structures using Python 3 to allow distant reading of Spanish Golden Age plays. We depart from plain text files, which have previously been structured in a relatively straightforward fashion. Each line represents an entity, be it metadata or a character, a speech, or a stage direction. Fine distinctions are marked with tabulators and a...
The project Sound and Meaning is currently elaborating a large, annotated database about the Spanish Golden Age theatre. The main aim of this project is to determine which relations can be established between metrics, rhythms, and the semantics of the play. Are there rhythms that seem to suit better a comedy rather than a tragedy? Do the different playwrights have rhythmical fingerprints,...
[The Programming Historian em português][1] (PHP) was released in January 2021, a translation of the platform and lessons of the original English version The Programming Historian (PH). The latter is being developed since 2008, initially consisting of lessons on Python, created by William J. Turkel and Alan MacEachern. In 2012, its editorial team and thematic scope was expanded, transforming...
The principal focus of this research is to demonstrate the value of the wall paintings of Sierra de Huelva, bringing recognition to this aspect of the history of Spanish art to all levels. To do this, we first document all of the representations, then construct a digital toolkit in which one can access this information.
To achieve our objective, we utilize a virtual exposition around which...
This abstract aims at exploring the methodological aspects of a research by the authors titled "Evolution of migration governance in Brazil: theoretical challenges, normative change and social echoes of xenophobic feelings", from early 2020. The empirical dimension of the research took advantage of algorithmic rountines of Python language code to leverage the retroactive collection of textual...
It is too complicated to define what Digital Humanities are, since it depends on the field of humanities in which you work. Mine is philology (another difficult term to define) and most of the time I work with texts, with large amounts of text. Unless mother nature has endowed you with a great capacity for memory, it is impossible for any human being to handle large amounts of text and...
