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Dissertations / Theses on the topic 'Large Language'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

McGarry, Theresa, and J. Mwinyelle. "Inductive Language Teaching in Large Classes." Digital Commons @ East Tennessee State University, 2011. https://dc.etsu.edu/etsu-works/6165.

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2

Labeau, Matthieu. "Neural language models : Dealing with large vocabularies." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLS313/document.

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Le travail présenté dans cette thèse explore les méthodes pratiques utilisées pour faciliter l'entraînement et améliorer les performances des modèles de langues munis de très grands vocabulaires. La principale limite à l'utilisation des modèles de langue neuronaux est leur coût computationnel: il dépend de la taille du vocabulaire avec laquelle il grandit linéairement. La façon la plus aisée de réduire le temps de calcul de ces modèles reste de limiter la taille du vocabulaire, ce qui est loin d'être satisfaisant pour de nombreuses tâches. La plupart des méthodes existantes pour l'entraînement

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3

Jiang, Yuandong. "Large Scale Distributed Semantic N-gram Language Model." Wright State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=wright1316200173.

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4

Tang, Haijiang. "Building phrase based language model from large corpus /." View Abstract or Full-Text, 2002. http://library.ust.hk/cgi/db/thesis.pl?ELEC%202002%20TANG.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2002.<br>Includes bibliographical references (leaves 74-79). Also available in electronic version. Access restricted to campus users.

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5

Cho, Chung Yik. "Large Scale Data Analytics with Language Integrated Query." Thesis, Curtin University, 2018. http://hdl.handle.net/20.500.11937/73570.

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Databases can easily reach petabytes (1,048,576 gigabytes) in scale. A system to enable users to efficiently retrieve or query data from multiple databases simultaneously is needed. This research introduces a new, cloud-based query framework, designed and built using Language Integrated Query, to query existing data sources without the need to integrate or restructure existing databases. Protein data obtained through the query framework proves its feasibility and cost effectiveness.

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6

McGreevy, Michael. "Statistical language modelling for large vocabulary speech recognition." Thesis, Queensland University of Technology, 2006. https://eprints.qut.edu.au/16444/1/Michael_McGreevy_Thesis.pdf.

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The move towards larger vocabulary Automatic Speech Recognition (ASR) systems places greater demands on language models. In a large vocabulary system, acoustic confusion is greater, thus there is more reliance placed on the language model for disambiguation. In addition to this, ASR systems are increasingly being deployed in situations where the speaker is not conscious of their interaction with the system, such as in recorded meetings and surveillance scenarios. This results in more natural speech, which contains many false starts and disfluencies. In this thesis we investigate a novel ap

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McGreevy, Michael. "Statistical language modelling for large vocabulary speech recognition." Queensland University of Technology, 2006. http://eprints.qut.edu.au/16444/.

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The move towards larger vocabulary Automatic Speech Recognition (ASR) systems places greater demands on language models. In a large vocabulary system, acoustic confusion is greater, thus there is more reliance placed on the language model for disambiguation. In addition to this, ASR systems are increasingly being deployed in situations where the speaker is not conscious of their interaction with the system, such as in recorded meetings and surveillance scenarios. This results in more natural speech, which contains many false starts and disfluencies. In this thesis we investigate a novel approa

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8

Miech, Antoine. "Large-scale learning from video and natural language." Electronic Thesis or Diss., Université Paris sciences et lettres, 2020. http://www.theses.fr/2020UPSLE059.

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Nous nous intéressons à l’apprentissage automatique d’algorithmes pour la compréhension automatique de vidéos. Une majorité des approches en compréhension de vidéos dépend de larges bases de données de vidéos manuellement annotées pour l’entraînement. Cependant, la collection et l’annotation de telles bases de données est fastidieuse, coûte cher et prend du temps. Pour palier à ce problème, cette thèse se concentre sur l’exploitation de large quantité d’annotations publiquement disponible, cependant bruitées, sous forme de langage naturel. En particulier, nous nous intéressons à un corpus dive

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9

Yao, Huan 1976. "Utterance verification in large vocabulary spoken language understanding system." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/47633.

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10

Ealey, Douglas. "Natural language acquisition in large scale neural semantic networks." Thesis, University of Southampton, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.310843.

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11

Lofberg, Laura. "Creating large semantic lexical resources for the Finnish language." Thesis, Lancaster University, 2017. http://eprints.lancs.ac.uk/85960/.

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Finnish belongs into the Finno-Ugric language family, and it is spoken by the vast majority of the people living in Finland. The motivation for this thesis is to contribute to the development of a semantic tagger for Finnish. This tool is a parallel of the English Semantic Tagger which has been developed at the University Centre for Computer Corpus Research on Language (UCREL) at Lancaster University since the beginning of the 1990s and which has over the years proven to be a very powerful tool in automatic semantic analysis of English spoken and written data. The English Semantic Tagger has v

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12

Garcia, Bernal Daniel. "Decentralizing Large-Scale Natural Language Processing with Federated Learning." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-278822.

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Natural Language Processing (NLP) is one of the most popular and visible forms of Artificial Intelligence in recent years. This is partly because it has to do with a common characteristic of human beings: language. NLP applications allow to create new services in the industrial sector in order to offer new solutions and provide significant productivity gains. All of this has happened thanks to the rapid progression of Deep Learning models. Large scale contextual representation models, such asWord2Vec, ELMo and BERT, have significantly advanced NLP in recently years. With these latest NLP model

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13

Alkathiri, Abdul Aziz. "Decentralized Large-Scale Natural Language Processing Using Gossip Learning." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281277.

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The field of Natural Language Processing in machine learning has seen rising popularity and use in recent years. The nature of Natural Language Processing, which deals with natural human language and computers, has led to the research and development of many algorithms that produce word embeddings. One of the most widely-used of these algorithms is Word2Vec. With the abundance of data generated by users and organizations and the complexity of machine learning and deep learning models, performing training using a single machine becomes unfeasible. The advancement in distributed machine learning

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14

Zervakis, Georgios. "Enriching large language models with semantic lexicons and analogies." Electronic Thesis or Diss., Université de Lorraine, 2023. http://www.theses.fr/2023LORR0039.

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Les progrès récents de l'apprentissage profond et des réseaux de neurones ont permis d'aborder des tâches complexes de traitement du langage naturel, qui sont appliquées à une pléthore de problèmes réels allant des assistants intelligents dans les appareils mobiles à la prédiction du cancer. Néanmoins, les systèmes modernes basés sur ces approches présentent plusieurs limitations qui peuvent compromettre leurs performances et leur fiabilité, les rendre injustes envers les minorités ou exposer des données personnelles. Nous sommes convaincus que l'intégration de connaissances et de raisonnement

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15

Fox, Michael Jacob. "Distributed learning in large populations." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44783.

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Distributed learning is the iterative process of decision-making in the presence of other decision-makers. In recent years, researchers across fields as disparate as engineering, biology, and economics have identified mathematically congruous problem formulations at the intersection of their disciplines. In particular, stochastic processes, game theory, and control theory have been brought to bare on certain very basic and universal questions. What sort of environments are conducive to distributed learning? Are there any generic algorithms offering non-trivial performance guarantees for a larg

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Sassano, Manabu. "Practical Use of Large Margin Classifiers in Natural Language Processing." 京都大学 (Kyoto University), 2008. http://hdl.handle.net/2433/123820.

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17

Wang, Yanbo Justin. "Language-independent pre-processing of large document bases for text classification." Thesis, University of Liverpool, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.445960.

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Text classification is a well-known topic in the research of knowledge discovery in databases. Algorithms for text classification generally involve two stages. The first is concerned with identification of textual features (i.e. words andlor phrases) that may be relevant to the classification process. The second is concerned with classification rule mining and categorisation of "unseen" textual data. The first stage is the subject of this thesis and often involves an analysis of text that is both language-specific (and possibly domain-specific), and that may also be computationally costly espe

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18

Lei, Xin. "Modeling lexical tones for Mandarin large vocabulary continuous speech recognition /." Thesis, Connect to this title online; UW restricted, 2006. http://hdl.handle.net/1773/6111.

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19

Lee, Kylie Lynn. "Effects of a Large Group Combined Narrative and Expository Language Intervention on Oral Language in Third Graders." BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/8139.

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The purpose of this study was to examine the effects of a combined narrative and expository language intervention on third graders' oral language. The participants included 96 third-grade students from two schools in the Mountain West region of the United States. In a quasi-experimental design, all third-grade students in one school (n = 46) were assigned to a treatment condition and all third-grade students in another school in the same school district (n = 50) were assigned to a control condition. Both treatment and control groups received large group oral narrative language intervention led

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Chadha, Vikrampal. "Simulation of large-scale system-level models." Thesis, This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-12162009-020334/.

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Katarina, Gavrić. "Mining large amounts of mobile object data." Phd thesis, Univerzitet u Novom Sadu, Fakultet tehničkih nauka u Novom Sadu, 2017. https://www.cris.uns.ac.rs/record.jsf?recordId=105036&source=NDLTD&language=en.

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Within this thesis, we examined the possibilities of using an increasing amount ofpublicly available metadata about locations and peoples' activities in order to gainnew knowledge and develop new models of behavior and movement of people. Thepurpose of the research conducted for this thesis was to solve practical problems,such as: analyzing attractive tourist sites, defining the most frequent routes peopleare taking, defining main ways of transportation, and discovering behavioralpatterns in terms of defining strategies to suppress expansion of virus infections. Inthis thesis, a practical

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22

Orcutt-Gachiri, Heidi Ann. "Kenyan Language Ideologies, Language Endangerment, and Gikuyu (Kikuyu): How Discourses of Nationalism, Education, and Development Have Placed a Large, Indigenous Language at Risk." Diss., The University of Arizona, 2009. http://hdl.handle.net/10150/192949.

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This dissertation, based on pilot research in the U.S. and Kenya in 2002 and fieldwork in two secondary schools in Kenya in 2004, has a twofold focus. First, it examines language ideologies of English, Kiswahili, and Kenya's 53 indigenous languages, in particular Gikuyu [Kikuyu], in the context of Kenyan discourses of nationalism, education, and development. Second, it shows how these language ideologies are contributing to the language endangerment of Kenya's indigenous languages.The stable trilingualism enjoyed by the parents of today's young Kenyans is not shared by their children. The rese

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23

Bayer, Ali Orkan. "A Study On Language Modeling For Turkish Large Vocabulary Continuous Speech Recognition." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/2/12606612/index.pdf.

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This study focuses on large vocabulary Turkish continuous speech recognition. Continuous speech recognition for Turkish cannot be performed accurately because of the agglutinative nature of the language. The agglutinative nature decreases the performance of the classical language models that are used in the area. In this thesis firstly, acoustic models using different parameters are constructed and tested. Then, three types of n-gram language models are built. These involve class-based models, stem-based models, and stem-end-based models. Two pass recognition is performed using the Hidden Mark

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24

Mejstad, Valdemar, and Karl-Johan Tångby. "Compiling an Interpreted Processing Language : Improving Performance in a Large Telecommunication System." Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik och datavetenskap, 2001. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2526.

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In this report we evaluate different techniques for increasing the performance of an interpreted processing language in a telecommunication system, called Billing Gateway R8. We have implemented a prototype in which we first translate the language into C++ code, and then compile it using a C++ compiler. In our prototype we experienced a threefold increase in processing throughput, compared to the original system, when running on a Symmetric Multi Processor with four CPU:s that were under full load. The prototype also showed better scalability than Billing Gateway R8, due to less use of dynamic

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Bughio, Faraz Ali. "Improving English language teaching in large classes at university level in Pakistan." Thesis, University of Sussex, 2013. http://sro.sussex.ac.uk/id/eprint/45170/.

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This thesis describes a collaborative Action Research project that works to improve the quality of English language teaching (ELT) and learning in a public sector university in Pakistan. It demonstrates how teachers and students can take responsibility for engaging in active learning and teaching by developing their roles beyond traditional models of teaching and learning. The findings of the study are validated through critical thinking, the active critique of colleagues and students who participated in the study, reflection on critical aspects of data collection and by contextualising findin

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26

Nkantah, Dianabasi Edet. "Large-scale connectionist natural language parsing using lexical semantic and syntactic knowledge." Thesis, Nottingham Trent University, 2007. http://irep.ntu.ac.uk/id/eprint/317/.

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Syntactic parsing plays a pivotal role in most automatic natural language processing systems. The research project presented in this dissertation has focused on two main characteristics of connectionist models for natural language processing: their adaptability to different tagging conventions, and their ability to use multiple linguistic constraints in parallel during sentence processing. In focusing on these key characteristics, an existing hybrid connectionist, shift-reduce corpus-based parsing model has been modified. This parser, which had earlier been trained to acquire linguistic knowle

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Doyle, Sean. "Progressive word hypotheses reduction for very large vocabulary, continuous speech recognition." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape16/PQDD_0015/MQ37123.pdf.

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28

Zablotskiy, Sergey [Verfasser]. "Lexical and language modeling for Russian large vocabulary continuous speech recognition / Sergey Zablotskiy." Ulm : Universität Ulm. Fakultät für Ingenieurwissenschaften und Informatik, 2016. http://d-nb.info/1091060975/34.

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29

Tan, Ming. "A Large Scale Distributed Syntactic, Semantic and Lexical Language Model for Machine Translation." Wright State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=wright1386111950.

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30

Liu, Ruixue. "DIFFERENTIAL ITEM FUNCTIONING AMONG ENGLISH LANGUAGE LEARNERS ON A LARGE-SCALE MATHEMATICS ASSESSMENT." UKnowledge, 2019. https://uknowledge.uky.edu/edsc_etds/50.

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English language learner (ELL) is a term to describe students who are still acquiring English proficiency. In recent decades, ELLs are a very rapidly growing student group in United States. In school classrooms, ELLs are learning English and their academic subjects simultaneously. It is challenging for them to hear lectures, read textbooks, and complete tests in English despite of their inadequate English language proficiency (Ilich, 2013). As a result, the increasing number of ELLs in public schools has paralleled the increase in ELLs’ low mathematics performance (NCES, 2016). Due to the popu

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DeRobles, Anahi Kamila. "Dynamic Assessment of Narrative Language for Diverse School-Age Children With and Without Language Disorder: A Large-Scale Psychometric Study." BYU ScholarsArchive, 2021. https://scholarsarchive.byu.edu/etd/8992.

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The purpose of this study was to examine and cross-validate how well a dynamic assessment of language can accurately identify a large sample of school-age students with a representative ratio of language disorder. The participants included 362 school-age children with and without language disorder from kindergarten to sixth grade in Utah, Colorado, and Wyoming. Each participant received a battery of assessments including a dynamic assessment of narrative language. The dynamic assessment investigated in this study demonstrated good to excellent levels of sensitivity and specificity. The results

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32

Chan, C. Y. "The design and implementation of a concurrent programming language for large grain MIMD computers." Thesis, University of Leeds, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.233172.

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33

Zhao, Ying, and ying zhao@rmit edu au. "Effective Authorship Attribution in Large Document Collections." RMIT University. Computer Science and Information Technology, 2008. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080730.162501.

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Techniques that can effectively identify authors of texts are of great importance in scenarios such as detecting plagiarism, and identifying a source of information. A range of attribution approaches has been proposed in recent years, but none of these are particularly satisfactory; some of them are ad hoc and most have defects in terms of scalability, effectiveness, and computational cost. Good test collections are critical for evaluation of authorship attribution (AA) techniques. However, there are no standard benchmarks available in this area; it is almost always the case that research

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Prud'homme, Charles. "Contrôle de la propagation et de la recherche dans un solveur de contraintes." Thesis, Nantes, Ecole des Mines, 2014. http://www.theses.fr/2014EMNA0194/document.

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La programmation par contraintes est souvent décrite, utopiquement, comme un paradigme déclaratif dans lequel l’utilisateur décrit son problème et le solveur le résout. Bien entendu, la réalité des solveurs de contraintes est plus complexe, et les besoins de personnalisation des techniques de modélisation et de résolution évoluent avec le degré d’expertise des utilisateurs. Cette thèse porte sur l’enrichissement de l’arsenal des techniques disponibles dans les solveurs de contraintes. D’une part, nous étudions la contribution d’un système d’explications à l’exploration de l’espace de recherche

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Yatapanage, Nisansala Prasanthi. "Slicing Behavior Trees for Verification of Large Systems." Thesis, Griffith University, 2012. http://hdl.handle.net/10072/366737.

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It is essential to ensure the correctness of software systems, especially for large and safety-critical pplications. Detecting problems earlier in the software cycle, such as in the specification and design phases, would significantly reduce the costs involved. Rigorous automated approaches are ideal for detecting such problems. Model checking is an automated verification technique which exhaustively searches the state space to determine whether a model of the system satisfies a given property. However, model checking suffers from state explosion, preventing large systems from being verified.

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Koelmans, Albertus Maria. "STRICT : a language and tool set for the design of very large scale integrated circuits." Thesis, University of Newcastle Upon Tyne, 1996. http://hdl.handle.net/10443/2076.

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An essential requirement for the design of large VLSI circuits is a design methodology which would allow the designer to overcome the complexity and correctness issues associated with the building of such circuits. We propose that many of the problems of the design of large circuits can be solved by using a formal design notation based upon the functional programming paradigm, that embodies design concepts that have been used extensively as the framework for software construction. The design notation should permit parallel, sequential, and recursive decompositions of a design into smaller comp

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Ledur, Cleverson Lopes. "Gmavis : a domain-specific language for large-scale geospatial data visualization supporting multi-core parallelism." Pontif?cia Universidade Cat?lica do Rio Grande do Sul, 2016. http://tede2.pucrs.br/tede2/handle/tede/6837.

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Submitted by Setor de Tratamento da Informa??o - BC/PUCRS (tede2@pucrs.br) on 2016-07-18T20:27:24Z No. of bitstreams: 1 DIS_CLEVERSON_LOPES_LEDUR_COMPLETO.pdf: 8709735 bytes, checksum: f6e5e2cfc62a7f7472f2e7e521dda480 (MD5)<br>Made available in DSpace on 2016-07-18T20:27:24Z (GMT). No. of bitstreams: 1 DIS_CLEVERSON_LOPES_LEDUR_COMPLETO.pdf: 8709735 bytes, checksum: f6e5e2cfc62a7f7472f2e7e521dda480 (MD5) Previous issue date: 2016-03-30<br>Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior - CAPES<br>Funda??o de Amparo ? Pesquisa do Estado do Rio Grande do Sul - FAPERGS<br>Data gener

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Coppola, Gregory Francis. "Iterative parameter mixing for distributed large-margin training of structured predictors for natural language processing." Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/10451.

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The development of distributed training strategies for statistical prediction functions is important for applications of machine learning, generally, and the development of distributed structured prediction training strategies is important for natural language processing (NLP), in particular. With ever-growing data sets this is, first, because, it is easier to increase computational capacity by adding more processor nodes than it is to increase the power of individual processor nodes, and, second, because data sets are often collected and stored in different locations. Iterative parameter mixi

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Kropff, Emilio. "Statistical and dynamical properties of large cortical network models: insights into semantic memory and language." Doctoral thesis, SISSA, 2007. http://hdl.handle.net/20.500.11767/4639.

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This thesis introduces several variants to the classical autoassociative memory model in order to capture different characteristics of large cortical networks, using semantic memory as a paradigmatic example in which to apply the results. Chapter 2 is devoted to the development of the sparse Potts model network as a simplification of a multi modular memory performing computations both at the local and the global level. If a network storing p global patterns has N local modules, each one active in S possible ways with a global sparseness a, and if each module is connected to cM other modules, t

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Deschler, Kurt W. "MASS a multi-axis storage structure for large XML documents." Link to electronic thesis, 2002. http://www.wpi.edu/Pubs/ETD/Available/etd-0506102-113510.

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Harrington, Brian. "ASKNet : automatically creating semantic knowledge networks from natural language text." Thesis, University of Oxford, 2009. http://ora.ox.ac.uk/objects/uuid:1c7154d3-f7d1-493e-b521-4e5ceb540038.

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This thesis details the creation of ASKNet (Automated Semantic Knowledge Network), a system for creating large scale semantic networks from natural language texts. Using ASKNet as an example, we will show that by using existing natural language processing (NLP) tools, combined with a novel use of spreading activation theory, it is possible to efficiently create high quality semantic networks on a scale never before achievable. The ASKNet system takes naturally occurring English text (e.g., newspaper articles), and processes them using existing NLP tools. It then uses the output of those tools

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Gabbitas, Jeffrey William. "ARTICULATION IN THE SPANISH PROGRAM AT A LARGE SOUTHWESTERN UNIVERSITY: A CASE STUDY." Diss., The University of Arizona, 2011. http://hdl.handle.net/10150/202692.

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Articulation is defined by Byrnes as "the well motivated and well designed sequencing and coordination of instruction toward certain goals." Factors concerning vertical articulation (the sequencing of language courses from the entry point to the end point of instruction) and horizontal articulation (coordination of multi-sectioned language courses) are the foci of this research. Student motivation relating to articulation efforts is also considered. The data for the study included departmental documents, course textbooks and course syllabi, questionnaires from 725 students and 99 instructor

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Susman, Derya. "Turkish Large Vocabulary Continuous Speech Recognition By Using Limited Audio Corpus." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614207/index.pdf.

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Speech recognition in Turkish Language is a challenging problem in several perspectives. Most of the challenges are related to the morphological structure of the language. Since Turkish is an agglutinative language, it is possible to generate many words from a single stem by using suffixes. This characteristic of the language increases the out-of-vocabulary (OOV) words, which degrade the performance of a speech recognizer dramatically. Also, Turkish language allows words to be ordered in a free manner, which makes it difficult to generate robust language models. In this thesis, the existing m

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Bangou, Francis. "A situated approach to knowledge construction related to technology-enhanced foreign language teaching and learning for preservice teachers in a large midwestern master of education program." Columbus, OH : Ohio State University, 2003. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1057776765.

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Thesis (Ph. D.)--Ohio State University, 2003.<br>Title from first page of PDF file. Document formatted into pages; contains xii, 286 p. : ill. Includes abstract and vita. Advisor: Shelley D. Wong, College of Education. Includes bibliographical references (p. 232-238).

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AL-Aqrabawi, Mohammad Saleh. "Combat System Modeling:Modeling Large-Scale Software and Hardware Application Using UML." Thesis, Virginia Tech, 2001. http://hdl.handle.net/10919/33172.

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Maintaining large-scale legacy applications has been a major challenge for software producers. As the application evolves and gets more complicated, it becomes harder to understand, debug, or modify the code. Moreover, as new members are joining the development team, and others are leaving, the need for a well-documented code arises. Good documentation necessitates the visualization of the code in an easy to understand manner. The Unified Modeling Language (UML), an Object Management Groupâ s (OMG) standard, is a graphical modeling language used for specifying, visualizing, constructing, a

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Comez, Murat Ali. "Large Vocabulary Continuous Speech Recogniton For Turkish Using Htk." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1205491/index.pdf.

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This study aims to build a new language model that can be used in a Turkish large vocabulary continuous speech recognition system. Turkish is a very productive language in terms of word forms because of its agglutinative nature. For such languages like Turkish, the vocabulary size is far from being acceptable. From only one simple stem, thousands of new word forms can be generated using inflectional or derivational suffixes. In this thesis, words are parsed into their stems and endings. One ending includes the suffixes attached to the associated root. Then the search network based on bigrams i

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47

Reid, Darryl. "The design and implementation of a large scientific code using FORTRAN 90 /." Internet access available to MUN users only, 2003. http://collections.mun.ca/u?/theses,159602.

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Bowes, John Almon. "Instructional program coherence in the implementation of an elementary English language arts curriculum in a large, urban school district." Diss., Restricted to subscribing institutions, 2007. http://proquest.umi.com/pqdweb?did=1475170981&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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Almarshedy, Abdulrahman Khaled. "The Educational Experiences of Saudi Male Students at a Large Midwestern Public University." Kent State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=kent1595194385103181.

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Joseph, Kenneth. "New Methods for Large-Scale Analyses of Social Identities and Stereotypes." Research Showcase @ CMU, 2016. http://repository.cmu.edu/dissertations/690.

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Social identities, the labels we use to describe ourselves and others, carry with them stereotypes that have significant impacts on our social lives. Our stereotypes, sometimes without us knowing, guide our decisions on whom to talk to and whom to stay away from, whom to befriend and whom to bully, whom to treat with reverence and whom to view with disgust. Despite these impacts of identities and stereotypes on our lives, existing methods used to understand them are lacking. In this thesis, I first develop three novel computational tools that further our ability to test and utilize existing so

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