Global ETD Search
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Showing 1 to 7 of 7 for “"Under-resourced languages"”.
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Effective automatic speech recognition data collection for under–resourced languages
As building transcribed speech corpora for under-resourced languages plays a pivotal role in developing automatic speech recognition (ASR) technologies for such languages, a key step in developing these technologies is the effective collection of ASR data, consisting of transcribed audio and …
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Recurrent neural network language models in the context of under-resourced South African languages
… 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 languages, have received little attention and have yet to benefit from recent advances. This investigation aims to …
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Unsupervised learning of cross-modal mappings between speech and text
… state-of-the-art speech recognition algorithm to under-resourced languages infeasible. In this thesis, we propose a general framework for mapping sequences between speech and text. Each component in this framework can be trained without any labeled data so the entire framework is unsupervised. We …
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Representation Learning beyond Semantic Similarity: Character-aware and Function-specific Approaches
… processing (NLP) concerned with building machine-understandable representations of discrete units of text. Continuous representations are at the core of modern machine learning applications, and representation learning has thereby become one of the central research areas in NLP. The induction of …
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Acquiring and Harnessing Verb Knowledge for Multilingual Natural Language Processing
… an unsupervised fashion. However, this signal is underused in downstream tasks, where they tend to fall back on superficial cues and heuristics to solve the problem at hand. Further progress relies on identifying and filling the gaps in linguistic knowledge captured in their parameters. The …
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Feasibility of individualised synthetic speech for children with complex communication needs in three South African languages (South African English, Afrikaans, and isiXhosa)
… these challenges, ensuring a comprehensive understanding of the context. 3) To delineate the process of generating naturalistic synthetic child speech: Tacotron 2, an open-source speech synthesis system, is used for three under resourced languages (South African English/SAE, Afrikaans, and …
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Inductive Bias and Modular Design for Sample-Efficient Neural Language Learning
Most of the world's languages suffer from the paucity of annotated data. This curbs the effectiveness of supervised learning, the most widespread approach to modelling language. Instead, an alternative paradigm could take inspiration from the propensity of children to acquire language from limited …