Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 270 for “"Low-Resource"”.
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Genetic Programming for Low-Resource Systems
… of ubiquitous computing whereby lightweight, low-resource systems are being deployed on a vast scale. These systems present new engineering challenges: high-volume production places a stronger emphasis on absolute cost, resources available to executing software are highly constrained, and …
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Unsupervised speech technology for low-resource languages
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-09-16 without embargo terms
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Unsupervised speech technology for low-resource languages
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-09-16 without embargo terms
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Management of Neurotrauma in Low-Resource Settings
… the paucity of clinical trials carried out in low- and middle-income countries (LMICs) that make the development of treatment guidelines possible, the concept of resource-stratified guidelines (RSGs), the evolution of international TBI guidelines, and a proposed protocol for TBI management in …
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Crosslingual Sharing for Low-Resource Natural Language Processing
… However, these techniques rely on resources, such as extensive task-specific annotation and vast amounts of unlabeled text, which are not available in every language. Thus, most prior research has been focused on high-resource languages such as English. Crosslingual transfer from a …
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Improving Low-Resource Translation with Finite State Grammars
… of neural machine translation systems for low-resource languages. This study develops a method for the incorporation of linguistic information into the training of neural machine translation models for low-resource languages, using morphological grammars created using finite state …
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Multilingual techniques for low resource automatic speech recognition
… This is due to the fact that a vast amount of resources is required to build a speech recognizer. This often includes thousands of hours of transcribed speech data, a phonetic pronunciation dictionary or lexicon which spans all words in the language, and a text collection on the order of …
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Transfer learning for low-resource natural language analysis
… tasks to improve performance of the target low-resource task. In particular, we focus on two transfer learning scenarios: (1) transfer across languages and (2) transfer across tasks or domains in the same language. In multilingual transfer, we tackle challenges from two perspectives. First, …
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Improving neural language models on low-resource creole languages
… a language with little data, also known as a low-resource language. Creole languages are frequently low-resource and as such it is difficult to train neural language models for them well. Creole languages are a special type of language that is widely thought of as having multiple parents and …
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Crowdsourcing a text corpus for a low resource language
Low resourced languages, such as South Africa's isiXhosa, have a limited number of digitised texts, making it challenging to build language corpora and the information retrieval services, such as search and translation that depend on them. Researchers have been unable to assemble isiXhosa corpora …
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Investigating optimal internet data collection in low resource networks
… world. Many community networks are built with low-capacity computing devices and low-capacity links. Such community networks are examples of low resource networks. The design and implementation of computer networks using limited hardware and software resources has been studied extensively in …
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Data augmentation and data efficiency for low-resource language processing
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01
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Improving Parameter-Efficient Cross-Lingual Transfer for Low-Resource Languages
… most challenging scenario is arguably that of low-resource languages, often lacking labelled data while also possessing a limited amount of unlabelled data. The open question is how to best use available data sources to achieve good performance across a range of resource scarcity. In this …
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Design of a low-resource 2D graphics engine for FPGAs
… focused on the design and implementation of a low-resource graphics engine, MicroGE, which can be implemented on an FPGA. MicroGE uses a minimal amount of FPGA resources when compared to other graphics engines. After researching existing graphics engines, it was discovered that most make use of …
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Design of an ultraportable surgical enclosure for low resource environments
Access to surgical care for people in remote settings and/or developing countries is limited: 30% of the world's population receives 75% of major operations [1]. In developing countries, up to a third of patients acquire a surgical site infection (SSI), which is nine times more likely than in …
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A Study on Neural-based Code Summarization in Low-resource Settings
… only a few well-documented programs in these low-resource languages are available for training. According to our observation, existing approaches can only acquire poor performances in such settings, and we attribute the problem to data-hungry and programming language gaps. Enlightened by …
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Cross-Lingual Word Sense Disambiguation for Low-Resource Hybrid Machine Translation
… for machine translation when translating from a resource- rich language into an under-resourced one, especially when relatively little bitext is avail- able. In CL-WSD, we perform word sense disambiguation, considering the senses of a word to be its possible translations into some target …
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Neuropsychological assessment for first-episode psychosis patients in low resource settings
… for first-episode psychosis patients in low resource settings is limited, the clinical utility of such assessments are unclear, and lengthy assessments may not be practicable in these contexts. This thesis therefore investigated 1) which brief neuropsychological assessment measures …
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Syntactic Transfer for Low-Resource Machine Translation with Contextual Parameter Generation
… within tasks—most of the gains are in high-resource settings, i.e., tasks and languages for which there is a large amount of labeled data available. Some tasks—and many languages—lack sufficient labeled data for these approaches to work well. Recently, there has been much interest in methods …
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Sensor-Based Methods for Characterizing Technology Impact in Low-Resource Settings
… through self-reporting, and the use of low-cost sensors allows researchers and designers to better assess their overall impact. The first part of the thesis presents a methodology for implementing sensor technologies in lowresource settings. The second part of the thesis presents the …
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