The lack of terminology in Zulu can be overcome if it is developed to meet international scientific and technical demands. This lack of terminology can be traced back to the absence of proper language policy implementation with regard to the African languages. Even though Zulu possesses the basic elements that are necessary for its development, such as orthographical standards, dictionaries, grammars and published literature, a number of problems exist within the technical elaboration and standardisation processes:
* Inconsistencies in the application of standard rules, in relation to both orthography and terminology.
* The lack of standardisation of the (technical) word-formation patterns in Zulu. (Generally the role of culture in elaboration has largely been overlooked).
* The avoidance of exploiting written technical text corpora as a resource for terminology. (Text encoding by means of corpus query tools in term extraction has just begun in Zulu and needs to be properly exemplified).
* The avoidance of introducing oral technical corpora as a resource for improving the acceptability of technical terminology by, for instance, designing a type of reusable corpus annotation.
This study contributes towards solving these problems by offering a practical approach within the context of the real written, standard and oral Zulu language, mainly within the medical terminological domain. This approach offers a reusable methodological foundation with proper language exemplification that can guide terminologists in terminological research, or to some extent even train them, to achieve effective technical elaboration and eventual standardisation.
This thesis aims at attaining consistent standardisation on the orthographical level in order to ease the elaboration task of the terminologist. It also aims at standardising the methods of word- (term-)
formation linking them to cultural factors, such as taboo. However, this thesis also emphasises the significance of using written and oral technical corpora as terminology resource. This, for instance, is made possible through the application of corpus linguistics, in semi-automatic term extraction from a written technical corpus to aid lemmatisation (listing entries) and in corpus annotation to improve the acceptability of terminology, based on the comparison of standard terms with oral terms.Linguistics and Modern LanguagesD. Litt et Phil. (Linguistics
