Monologue grammar development for under-resourced languages is very slow and laborious (involves creating rules to generate the computational enable analysis synthesis of language(s) in question). However, need continues soar this technology-driven economy information analysis. This paper aims set up an experiment grammatical framework (GF), evaluate efficiency effectiveness Bantu parameterized...

Referential cohesion in African languages is a largely neglected area of study. Given the foregoing, this study, theoretically anchored on Descriptive Translation Studies and Halliday Hasan’s (1976) seminal model, explores referential translation English-Swahili healthcare texts with an endeavour to describe its use establish if there variation when are translated. Cohesion fundamental since it...

The need for question-answering (QA) datasets in low-resource languages is the motivation of this research, leading to development Kencorpus Swahili Question Answering Dataset (KenSwQuAD). This dataset annotated from raw story texts Swahili, a language that predominantly spoken eastern Africa and other parts world. Question-answering are important machine comprehension natural tasks such as int...

The stages of development the main traditional Swahili poetic genres tendi and mashairi, starting from period their formation ending with current state are discussed in article. On example most significant works classics modernity, formal stylistic features studied analyzed, question is raised about continuity innovative techniques context non-literary factors. conclusion made within framework ...

Poverty exists without any face; it is a multifaceted and complex phenomenon. famines existed before human civilization culture. Human culture 0.07 million years ago, began 6000 ago. In modern civilized society, ‘first famine in history occurred 1708 B.C. From BC to 1878 AD, 350 various spheres of the world. The Encyclopedia Britannica listed 31 main from prehistoric 1960s. sub-continent has al...

This article presents the data collected and ASR systems developped for 4 sub-saharan african languages (Swahili, Hausa, Amharic and Wolof). To illustrate our methodology, the focus is made on Wolof (a very under-resourced language) for which we designed the first ASR system ever built in this language. All data and scripts are available online on our github repository.

Computational morphological analysis is an important first step in the automatic treatment of natural language and a useful lexicographic tool. This article describes a corpus-based approach to the morphological analysis of Swahili. We particularly focus our discussion on its ability to retrieve lemmas for word forms and evaluate it as a tool for corpus-based dictionary