Despite advancements in machine translation systems and the development of language-
independent frameworks for machine translation, support for African languages is relatively …

Although researchers and practitioners are pushing the boundaries and enhancing the
capacities of NLP tools and methods, works on African languages are lagging. A lot of focus …

In recent decades, the field of artificial intelligence has covered much research in the area of
computer translation. The targets of this research have often been the most broadly spoken …

Africa has over 2000 languages. Despite this, African languages account for a small portion
of available resources and publications in Natural Language Processing (NLP). This is due …

Spell checking and correction is still in its infancy for the Yorùbá language; existing tools
cannot be directly applied to address the problem, as Yorùbá uses diacritics extensively for …

As a morphologically complex language, Zulu has notable challenges aligning with English.
One of the biggest concerns for statistical machine translation is the fact that the …

The scarcity of adequate resources for South African languages poses a huge challenge for
their functional development in specialised fields such as science and technology. The study …

Abstract Development of Machine Translation System (MTS) for any language pair is a
challenging task for several reasons. Lack of lexical resources for any language is one of the …

Machine translation is an active research domain in fields of artificial intelligence. The
relevant literature presents a number of machine translation approaches for the translation …

Abstract In Machine Translation, divergence is one of the major barriers which plays a
deciding role in determining the efficiency of the system at hand. Translation divergences …