The sixth workshop on Resources for African Indigenous Languages (RAIL) was held on 10 November 2025 at the CSIR International Convention Centre in Pretoria, South Africa. It was co-located with the Digital Humanities Association of Southern Africa (DHASA) 2025 conference, which took place from 11 to 14 November 2025

Stop word lists are useful resources that allow for the filtering of words in texts that typically do not carry (much) content. Filtering stop words can improve the efficiency and accuracy of data processing. Stop words are typically short and occur very frequently in texts. Stop word lists are language dependent and many low-resource languages currently do not have (accurate) stop word lists. In this article, we look at how we can create, based on word frequency, a stop word list for Khoekhoe, which is a low-resource language spoken in Southern Africa. Given that stop words do not carry much content, they can be expected to occur consistently across different texts. We compare lists of most frequent words between texts in different genres and which words feature in these lists consistently. We look at the overlap of frequent words in English texts and compare these to a known English stop word list as well, and compare the results with the overlap of frequent words in Khoekhoe texts. The results show that there is a high overlap between genres for English, but the overlap between the Khoekhoe genres is lower. This may be due to a different typological profile of Khoekhoe. This means that creating a stop word list for Khoekhoe is more complicated and most likely requires other techniques to produce a useful stop word list.

South Africa, with its twelve official languages, is an inherently multilingual country. As such, speakers of many of the languages have been in direct contact. This has led to a cross-over of words and phrases between languages. In this article, we provide a methodology to identify words that are (potentially) borrowed from another language. We test our approach by trying to identify words that moved from English into Sesotho (or potentially the other way around). To do this, we start with a bilingual Sesotho-English dictionary (Bukantswe).
We then develop a lexicographic comparison method that takes a pair of lexical items (English and Sesotho) and computes a range of distance metrics. These distance metrics are applied to the raw words (i.e., comparing orthography), but using the Soundex algorithm, an approximate phonological comparison can be made as well. Unfortunately, Bukantswe does not contain complete annotation of loan words, so a quantitative evaluation is not currently possible. We provide a qualitative analysis of the results, which shows that many loan words can be found, but in some cases lexical items that have a high similarity are not loan words. We discuss different situations related to the influence of orthography, phonology, syllable structure, and morphology. The approach itself is language independent, so it can also be applied to other language pairs, e.g., Afrikaans and Sesotho, or more related languages, such
as isiXhosa and isiZulu.

The editors are happy to present the first special issue of the Journal of the Digital Humanities Association of Southern Africa (DHASA). In this issue, we bring together articles from the field of Digital Humanities with the underlying theme “Crossroads DH”. Under this umbrella topic, we investigate the manifold connections of Digital Humanities with academic disciplines that are not usually connected with Digital Humanities. This also includes research on comparative Digital Humanities studies of different datasets, and hands-on or analytical work in the sciences where Digital Humanities methods or approaches are applied. Additionally, this issue contains practical examples of the application of Digital Humanities and their application to real life problems. 

It is with immense pride and anticipation that we introduce the fifth volume of the Journal of Digital Humanities Association of Southern Africa (JDHASA), centred on the theme “Digital Humanities for Inclusion.”