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 1156 for “"Language Processing"”.
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Modelling multimodal language processing
Contains fulltext : 145196.pdf (Publisher’s version ) (Open Access)
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Multithreaded Natural Language Processing Tasks
… multithreaded versions of traditional natural language processing systems. This thesis work has two main contributions towards multithreaded versions of a natural language processing systems: </p> <p> 1. Implementation of data parallelism to improve performance of lexical analysis and parsing. …
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Misinformation Identification Using Natural Language Processing
… of misinformation identification using natural language processing (NLP). Given a claim, our approach classifies a claim as true, partly true or false using a set of news articles whose contents are related to the claim. The set of related articles, collected from reputable sources, serves as …
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Domain Adaptation in Natural Language Processing
Although we focus on domain adaptation in natural language processing in this thesis, most of the analysis of the problem and the proposed domain adaptation techniques are not restricted to natural language processing problems but can be generally applied to most classification tasks when the …
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Phonological prediction in spoken language processing
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-12-01
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Natural Language Processing on Data Warehouses
… addressed in this research was to use natural language to query data in a data warehouse. To this effect, two natural language processing models were developed and compared on a classic star-schema sales data warehouse with sales facts and date, location and item dimensions. Utterances are …
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Transfer Learning For Spoken Language Processing
… develops transfer learning paradigms for spoken language processing applications. In particular, we tackle domain adaptation in the context of Automatic Speech Recognition (ASR) and Cross-Lingual Learning in Automatic Speech Translation (AST). The first part of the thesis develops an algorithm …
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Self-Training for Natural Language Processing
… is critical for machine learning based natural language processing models. Although many large-scale corpora and standard benchmarks have been annotated and published, they cannot cover all possible applications. As a result, it is difficult to transfer models trained with public corpora to …
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Natural language processing based nutritional application
… or easily abandoned; however, a natural language based application that converts spoken text to nutritional information could be a convenient and eective solution. This thesis describes the creation of an application that translates spoken food diaries into nutritional database entries. …
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Uncertainty Estimation on Natural Language Processing
… books, reports, and more. Consequently, Natural Language Processing (NLP) has garnered widespread attention. This technology empowers us to undertake tasks like text classification, entity recognition, and even crafting responses within a dialogue context. However, despite the expansive utility …
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An Electrophysiological Investigation of Embodied Language Processing
… & Robertson, 1999). More recent theories of language comprehension posit that both amodal and embodied representations contribute to understanding (Barsalou, Santos, Simmons & Wilson, 2008; Louwerse, 2007; 2018; Louwerse & Jeuniaux, 2008). The present thesis discusses experiments using …
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Unsupervised Structure Induction for Natural Language Processing
Many Natural Language Processing (NLP) tasks involve some kind of structure analysis, such as word alignment for machine translation, syntactic parsing for coreference resolution, semantic parsing for question answering, etc. Traditional supervised learning methods rely on manually labeled …
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Natural Language Processing per Human-centered AI
… del Linguaggio Naturale (Natural Language Processing, NLP), attraverso contributi integrati di natura teorica, metodologica e applicativa. In primo luogo, vengono definite le basi concettuali e sociotecniche dell’HCAI e presentata un’analisi sistematica dello stato dell’arte in tre …
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Natural Language Processing Reveals Patient Reported Experiences
… patient-reported experiences using Natural Language Processing (NLP) techniques. We identify three key research gaps: the need for rapid insights in emerging health crises, the lack of a guiding NLP framework to uncover patient-reported experiences for healthcare professionals, and absence …
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Multi-Class Classification in Natural Language Processing
This thesis presents theoretical and empirical arguments for the advantages of using: (i) Sentence structure. (ii) The Sequential Model . Empirical arguments are given using word-prediction and part of speech tagging tasks. Theoretical arguments present this thesis as an extension of the current …
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Second language processing in reading and translation
… of this dissertation is to investigate the processing mechanisms of non-native English speakers at both the sentence level and the morphological level, addressing the issue of whether adult second language (L2) learners qualitatively differ from native speakers in processing linguistic …
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Morphological competence in neural natural language processing
In case-marking languages (CMLs), such as Polish or Finnish, a substantial portion of grammatical information is expressed at the word-level. The word-forms provide information about their inherent properties, like tense or mood, but also encode information about relations between the words. This …
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Improving Cascaded Systems in Spoken Language Processing
Spoken language processing encompasses a broad range of speech production and perception tasks. One of the central challenges in building spoken language systems is the lack of end-to-end training corpora. For example in spoken language translation, there is little annotated data that directly …
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Natural language processing on encrypted patient data
… machine learning algorithms from the natural language processing domain on the second party's data, where the first party is limited to learning only specific functions of the second party's data and nothing else. Our system provides simple cryptographic schemes for locating keywords, matching …
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Characterizing Cortex-Hippocampus Interactions During Language Processing
… including that of the hippocampus, in language processing, remain largely unknown. In patients with hippocampal damage, language is left largely intact [Vargha-Khadem et al., 1997], suggesting that the hippocampus is likely not necessary for language processing. Recent evidence, …
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