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Recurrent neural network language models in the context of under-resourced South African languages
Over the past five years neural network models have been successful across a range of computational linguistic tasks. However, these triumphs have been concentrated in languages with significant resources such as large datasets. Thus, many languages, which are commonly referred to as under-resourced...
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| Format: | Thesis |
| Language: | English |
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Department of Statistical Sciences
2019
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