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Dissertations / Theses on the topic 'Under-resourced language'

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Published: 4 June 2021
Last updated: 26 July 2025

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1

Scarcella, Alessandro. "Recurrent neural network language models in the context of under-resourced South African languages." Master's thesis, University of Cape Town, 2018. http://hdl.handle.net/11427/29431.

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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 languages, have received little attention and have yet to benefit from recent advances. This investigation aims to evaluate the implications of recent advances in neural network language modelling techniques for under-resourced South African languages. Rudimentary, single layered recurrent neural n
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2

De, Vries Nicolaas Johannes. "Effective automatic speech recognition data collection for under–resourced languages / de Vries N.J." Thesis, North-West University, 2011. http://hdl.handle.net/10394/7354.

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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 associated meta data. The problem is that no suitable tool currently exists for effectively collecting ASR data for such languages. The specific context and requirements for effectively collecting ASR data for underresourced languages, render all currently known solutions unsuitable for such a task. Such r
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3

Van, Niekerk Daniel Rudolph. "Tone realisation for speech synthesis of Yorùbá / Daniel Rudolph van Niekerk." Thesis, North West University, 2014. http://hdl.handle.net/10394/13054.

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Speech technologies such as text-to-speech synthesis (TTS) and automatic speech recognition (ASR) have recently generated much interest in the developed world as a user-interface medium to smartphones [1, 2]. However, it is also recognised that these technologies may potentially have a positive impact on the lives of those in the developing world, especially in Africa, by presenting an important medium for access to information where illiteracy and a lack of infrastructure play a limiting role [3, 4, 5, 6]. While these technologies continually experience important advances that keep extending
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4

Ralphs, Liana. "Peripheral Normativity: Language and literacy, teaching and learning in two Grade Four classrooms in an under-resourced school in the Western Cape." Master's thesis, University of Cape Town, 2009. http://hdl.handle.net/11427/8276.

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This study focuses on how children in the post-Foundation phase of Primary Schooling encounter reading and writing practices and learn to be certain kinds of readers and writers in poorly-resourced school settings in the Western Cape in South Africa. The aim of this research was to investigate how literacy practices in a socially situated domain, such as a classroom in a poorly-resourced school, are shaped by both the internal dynamics of classroom teaching as well as by external factors beyond the school, relating to the social location of the school within a peripheral social context. Throug
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5

Ahmed, Assowe Houssein. "Construction et évaluation pour la TA d'un corpus journalistique bilingue : application au français-somali." Thesis, Université Grenoble Alpes (ComUE), 2019. http://www.theses.fr/2019GREAM019/document.

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Dans le cadre des travaux en cours pour informatiser un grand nombre de langues « peu dotées », en particulier celles de l’espace francophone, nous avons créé un système de traduction automatique français-somali dédié à un sous-langage journalistique, permettant d’obtenir des traductions de qualité, à partir d’un corpus bilingue construit par post-édition des résultats de Google Translate (GT), à destination des populations somalophones et non francophones de la Corne de l’Afrique. Pour cela, nous avons constitué le tout premier corpus parallèle français-somali de qualité, comprenant à ce jour
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6

Samson, Juan Sarah Flora. "Exploiting resources from closely-related languages for automatic speech recognition in low-resource languages from Malaysia." Thesis, Université Grenoble Alpes (ComUE), 2015. http://www.theses.fr/2015GREAM061/document.

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Les langues en Malaisie meurent à un rythme alarmant. A l'heure actuelle, 15 langues sont en danger alors que deux langues se sont éteintes récemment. Une des méthodes pour sauvegarder les langues est de les documenter, mais c'est une tâche fastidieuse lorsque celle-ci est effectuée manuellement.Un système de reconnaissance automatique de la parole (RAP) serait utile pour accélérer le processus de documentation de ressources orales. Cependant, la construction des systèmes de RAP pour une langue cible nécessite une grande quantité de données d'apprentissage comme le suggèrent les techniques act
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7

Barnes, Jeremy. "Cross-lingual sentiment analysis for under-resourced languages." Doctoral thesis, Universitat Pompeu Fabra, 2019. http://hdl.handle.net/10803/665480.

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Sentiment Analysis is a task that aims to calculate the polarity of text automatically. While some languages, such as English, have a vast array of resources to enable sentiment analysis, most under-resourced languages lack them. Cross-lingual Sentiment Analysis (CLSA) attempts to make use of resource-rich languages in order to create or improve sentiment analysis systems in an under-resourced language. In this thesis, we propose cross-lingual sentiment approaches that have minimal parallel data requirements, while making the best use of available monolingual data. We propose a model to incorp
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8

Manaileng, Mabu Johannes. "Grapheme-based continuous speech recognition for some of the under- resourced languages of Limpopo Province." Thesis, University of Limpopo, 2015. http://hdl.handle.net/10386/1615.

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Thesis (M.Sc. (Computer Science)) -- University of Limpopo, 2015<br>This study investigates the potential of using graphemes, instead of phonemes, as acoustic sub-word units for monolingual and cross-lingual speech recognition for some of the under-resourced languages of the Limpopo Province, namely, IsiNdebele, Sepedi and Tshivenda. The performance of a grapheme-based recognition system is compared to that of phoneme-based recognition system. For each selected under-resourced language, automatic speech recognition (ASR) system based on the use of hidden Markov models (HMMs) was developed usi
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9

Do, Thi Ngoc Diep. "Extraction de corpus parallèle pour la traduction automatique depuis et vers une langue peu dotée." Phd thesis, Université de Grenoble, 2011. http://tel.archives-ouvertes.fr/tel-00680046.

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Les systèmes de traduction automatique obtiennent aujourd'hui de bons résultats sur certains couples de langues comme anglais - français, anglais - chinois, anglais - espagnol, etc. Les approches de traduction empiriques, particulièrement l'approche de traduction automatique probabiliste, nous permettent de construire rapidement un système de traduction si des corpus de données adéquats sont disponibles. En effet, la traduction automatique probabiliste est fondée sur l'apprentissage de modèles à partir de grands corpus parallèles bilingues pour les langues source et cible. Toutefois, la recher
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10

De, Lagane de Malezieux Guillaume. "Contributions à l’ingénierie multilingue et sémantique des exigences en système de systèmes." Electronic Thesis or Diss., Université Grenoble Alpes, 2023. http://www.theses.fr/2023GRALM061.

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Notre recherche concerne le traitement de grosses spécifications dans le domaine des systèmes de systèmes. Un cahier des charges ou une spécification est un ensemble structuré d’exigences. Les outils actuels ne permettent pas de détecter les cas d’inconsistance, d’incomplétude, voire d’incorrection (dus à des ambiguïtés) ou de difficulté de compréhension (due à la complexité des énoncés), qui posent de nombreux problèmes, et peuvent même causer des catastrophes lors de la réalisation puis de la mise en œuvre1. Après avoir fait un état de l’art assez complet sur les systèmes de traitement des e
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11

Sindana, Daniel. "Development of robust language models for speech recognition of under-resourced language." Thesis, 2020. http://hdl.handle.net/10386/3413.

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Thesis (M.Sc.(Computer Science )) -- University of Limpopo, 2020<br>Language modelling (LM) work for under-resourced languages that does not consider most linguistic information inherent in a language produces language models that in adequately represent the language, thereby leading to under-development of natural language processing tools and systems such as speech recognition systems. This study investigated the influence that the orthography (i.e., writing system) of a lan guage has on the quality and/or robustness of the language models created for the text of that language. The u
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12

Chun-HuangWang and 王竣煌. "Textual Data Augmentation for Code-Switching Speech Recognition with Under-Resourced Language." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/hxw5ts.

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碩士<br>國立成功大學<br>資訊工程學系<br>107<br>Automatic speech recognition is one of the hot topics in speech-related research. More and more cases of applying it to daily life are more frequent than in the past. In order to make the speech recognizer have accurate recognition ability, both of the methods of constructing the speech recognizer and the training corpora are very important. However, not all languages are widely used like Mandarin and English. Therefore, in many cases, it is hard to collect a large amount of speech corpus to train the speech recognizer. In this condition, it is necessary to adj
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13

Molapo, Nkadimeng Raymond. "Implementing a distributed approach for speech resource and system development / Nkadimeng Raymond Molapo." Thesis, 2014. http://hdl.handle.net/10394/15922.

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The range of applications for high-quality automatic speech recognition (ASR) systems has grown dramatically with the advent of smart phones, in which speech recognition can greatly enhance the user experience. Currently, the languages with extensive ASR support on these devices are languages that have thousands of hours of transcribed speech corpora already collected. Developing a speech system for such a language is made simpler because extensive resources already exist. However for languages that are not as prominent, the process is more difficult. Many obstacles such as reliability and cos
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14

Ramasamy, Loganathan. "Parsing under-resourced languages: Cross-lingual transfer strategies for Indian languages." Doctoral thesis, 2014. http://www.nusl.cz/ntk/nusl-338070.

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Key to fast adaptation of language technologies for any language hinges on the availability of fundamental tools and resources such as monolingual/parallel corpora, annotated corpora, part-of-speech (POS) taggers, parsers and so on. The languages which lack those fundamental resources are often referred as under-resourced languages. In this thesis, we address the problem of cross-lingual dependency parsing of under-resourced languages. We apply three methodologies to induce dependency structures: (i) projecting dependencies from a resource-rich language to under-resourced languages via paralle
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15

Stüker, Sebastian [Verfasser]. "Acoustic modelling for under-resourced languages / von Sebastian Stüker." 2009. http://d-nb.info/999562649/34.

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