This study delves into the syntactic notion of subject relation in Shona with the aim of characterizing and defining it. This is done through analysing data collected from two of the Shona speaking provinces in Zimbabwe, namely, Harare and Masvingo. The data collection procedures involved the tape recording of oral interviews as well as doing selective listening to different speeches. The data were then analysed using the projection principle, noun phrase movement transformational rule as well as the selectional principles established for the subject relation in the other well researched natural languages. The research found out that there is no one single rule that can be used to determine the subject of every possible Shona sentence. One has to make use of all the seven selectional principles established in the well-researched natural languages. The research managed to assess the applicability of the selectional rules in different sentences. The rules were then ranked according to their reliability in determining the subjects of each of the various Shona sentences. It also came to light that the Shona subject relation has a number of sub-categories as a result of the various selectional rules involved in determining them. These were also ranked in a hierarchy of importance as they apply in the language. For instance, whilst some are assigned to their host words at the deep structure or underlying level of syntax, some are assigned at the surface structure level and can be shifted easily. It also emerged that the freedom of the subject relation in the language varies with the sub-category of the relation. It came to light as well that in Shona both noun phrases (NPs) and non-NPs are assigned the subject role. / African Languages / D. Litt. et Phil. (African Languages)
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:unisa/oai:uir.unisa.ac.za:10500/4840 |
| Date | 23 September 2011 |
| Creators | Mhute, Isaac |
| Contributors | Mutasa, D. E. (Prof.), Kadenge, M. (Dr.) |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | 1 online resource (xi, 161 leaves) |
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