oa Educor Multidisciplinary Journal - Automatic text summarisation using an advanced stemmer algorithm : a case study of the Xhosa Language - research

Volume 3 Number 1
  • ISSN : 2520-4254
  • E-ISSN: 2663-2349



In today’s world, digital content is becoming significantly abundant. Finding ways to come up with a tool that can aid with this is of fundamental importance. People are faced with what is referred to as information overload. A tool that can make a summary of a text without losing its message, coherence and cohesion is vital. We live in a digital age and that technology saves us time. This means that users can only focus on points they are interested in. This is one of the research areas in natural language processing/information retrieval which this work tries to contribute to. It tries to contextualise the tools and technologies that are developed for other languages to automatically summarise textual Xhosa news articles. The work specifically aims to develop a text summariser for textual Xhosa news articles based on extraction methods. In doing so, it examines the literature to try to understand the techniques and technologies used to analyse the contents of a written text in order to transform and synthesise it. The study also examines the phonology and morphology of the Xhosa language, and finally, designs, implements, and tests an extraction-based automatic news article for the Xhosa language. Two approaches were used to extract relevant sentences: term frequency and sentence position. The Xhosa summariser is evaluated using a test set. This study has employed both subjective and objective evaluation methods.

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