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Zhang, Zheng. "Explorations in Word Embeddings : graph-based word embedding learning and cross-lingual contextual word embedding learning". Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLS369/document.
Pełny tekst źródłaWord embeddings are a standard component of modern natural language processing architectures. Every time there is a breakthrough in word embedding learning, the vast majority of natural language processing tasks, such as POS-tagging, named entity recognition (NER), question answering, natural language inference, can benefit from it. This work addresses the question of how to improve the quality of monolingual word embeddings learned by prediction-based models and how to map contextual word embeddings generated by pretrained language representation models like ELMo or BERT across different languages.For monolingual word embedding learning, I take into account global, corpus-level information and generate a different noise distribution for negative sampling in word2vec. In this purpose I pre-compute word co-occurrence statistics with corpus2graph, an open-source NLP-application-oriented Python package that I developed: it efficiently generates a word co-occurrence network from a large corpus, and applies to it network algorithms such as random walks. For cross-lingual contextual word embedding mapping, I link contextual word embeddings to word sense embeddings. The improved anchor generation algorithm that I propose also expands the scope of word embedding mapping algorithms from context independent to contextual word embeddings
Schafer, Graham. "Word learning in infancy". Thesis, University of Oxford, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.242032.
Pełny tekst źródłaYao, Xin. "Word Learning in Context". The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1291060246.
Pełny tekst źródłaRossi, Sonja. "Neuroplasticity of word learning". Doctoral thesis, Humboldt-Universität zu Berlin, 2018. http://dx.doi.org/10.18452/19420.
Pełny tekst źródłaWord learning accompanies our everyday life from infancy to advanced age. Infants have to learn the native language(s) but also during adulthood word learning can take place, for example if we learn a new foreign language. Sometimes people are confronted with a situation in which they have to re-learn a language because of a brain lesion. How does the brain master these challenging word learning settings? To assess neuroplasticity of word learning several neuroscientific methods (electroencephalography, functional near-infrared spectroscopy, voxel-based lesion-behavior/EEG mapping), partially in combination, were used in infants, children, and adults as well as in patients suffering from a brain lesion compared to matched elderly controls. In 5 experiments neuronal processing of pseudowords corresponding to native and non-native phonotactic rules (i.e., the combination of different phonemes) was investigated under different learning conditions in monolingual participants. Healthy adults but also 6-month-old infants and elderly subjects and patients were able to differentiate these rules. Involved brain areas included a left-hemispheric network of fronto-temporal regions. When processing universal linguistic features, however, more parietal regions were involved. While adults revealed a clear left-dominant network, 6-month-olds still recruited bilateral brain areas. Differential language trainings (semantic or passive listening trainings) over three consecutive days also modulated brain activation in both infants and adults suggesting a high flexibility for learning native and non-native linguistic regularities. In a 6th experiment, bilingual 5-year-old children learned novel adjectives by means of pragmatic cues and revealed more efficient neuronal mechanisms compared to monolingual children. Findings underline the importance of multi-methodological approaches to get clearer insights into the complex machinery of neuroplasticity.
Packard, Stephanie Leona. "Phonological word-form learning". Thesis, University of Iowa, 2010. https://ir.uiowa.edu/etd/568.
Pełny tekst źródłaTan, Seok Hui. "Factors in infant word learning". Thesis, University of Reading, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.252252.
Pełny tekst źródłaDolena, Alexis Lynn. "Uncovering the "slow mapping" process of word learning through word definition and word association tasks". Click here for download, 2006. http://proquest.umi.com/pqdweb?did=1212794661&sid=1&Fmt=2&clientId=3260&RQT=309&VName=PQD.
Pełny tekst źródłaBallem, Kate Drury. "Phonological specificity in early word learning". Thesis, University of Oxford, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.410618.
Pełny tekst źródłaFrank, Michael C. Ph D. Massachusetts Institute of Technology. "Early word learning through communicative inference". Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/62045.
Pełny tekst źródłaCataloged from PDF version of thesis.
Includes bibliographical references (p. 109-122).
How do children learn their first words? Do they do it by gradually accumulating information about the co-occurrence of words and their referents over time, or are words learned via quick social inferences linking what speakers are looking at, pointing to, and talking about? Both of these conceptions of early word learning are supported by empirical data. This thesis presents a computational and theoretical framework for unifying these two different ideas by suggesting that early word learning can best be described as a process of joint inferences about speakers' referential intentions and the meanings of words. Chapter 1 describes previous empirical and computational research on "statistical learning"--the ability of learners to use distributional patterns in their language input to learn about the elements and structure of language-and argues that capturing this abifity requires models of learning that describe inferences over structured representations, not just simple statistics. Chapter 2 argues that social signals of speakers' intentions, even eye-gaze and pointing, are at best noisy markers of reference and that in order to take advantage of these signals fully, learners must integrate information across time. Chapter 3 describes the kinds of inferences that learners can make by assuming that speakers are informative with respect to their intended meaning, introducing and testing a formalization of how Grice's pragmatic maxims can be used for word learning. Chapter 4 presents a model of cross-situational intentional word learning that both learns words and infers speakers' referential intentions from labeled corpus data.
by Michael C. Frank.
Ph.D.
Stickgold, Eli (Eli B. ). "Word sense disambiguation through lattice learning". Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/66811.
Pełny tekst źródłaCataloged from PDF version of thesis.
Includes bibliographical references (p. 51).
The question of how a computer reading a text can go from a word to its meaning is an open and difficult one. The WordNet[3] lexical database uses a system of nested supersets to allow programs to be specific as to what meaning of a word they are using, but a system that picks the correct meaning is still necessary. In an attempt to capture the human understanding of this problem and produce a system that can achieve this goal with minimal starting information, I created the DISAMBIGUATOR program. DISAMBIGUATOR uses Lattice Learning to capture the concept of contexts, which represent common situations that multiple words are found in, and uses Genesis' system of Things, Sequences, Derivative and Relations to understand some contexts as being related to others (i.e. that 'things which can fly to a tree' and 'things which can fly to Spain' are related in that they are both special cases of the context 'things which can fly'). Using this system, DISAMBIGUATOR can tell us which meaning of 'hawk' we should use if we see it in a sentence like 'the hawk flew to the tree.' DISAMBIGUATOR is implemented in Java as part of the Genesis system, and can disambiguate short stories of around ten related statements with only a single query to the user.
by Eli Stickgold.
M.Eng.
Feldblyum, Joshua Mark. "Mutual exclusivity in bilingual word learning". Click here for download, 2008. http://proquest.umi.com/pqdweb?did=1564016531&sid=1&Fmt=2&clientId=3260&RQT=309&VName=PQD.
Pełny tekst źródłaCoran, Monica. "Novel Word Learning as a Treatment of Word Processing Disorders in Aphasia". Master's thesis, Temple University Libraries, 2018. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/485434.
Pełny tekst źródłaM.A.
Research suggests that novel word learning tasks engage both verbal short-term memory (STM) and lexical processing, and may serve as a potential treatment for word processing and functional language in aphasia (e.g., Gupta, Martin, Abbs, Schwartz, Lipinski, 2006; Tuomiranta, Grönroos, Martin, & Laine, 2014). The purpose of this study was to gain support for the hypotheses that novel word learning engages verbal STM and lexical access processes and can be used to promote improvements in these abilities in treatment of aphasia. We used a novel word learning task as a treatment with three participants: KT, UP, and CN, presenting with different types and severities of aphasia and predicted that treatment would result in (1) acquisition of trained novel words (2) improved verbal STM capacity and (3) improved access to and retrieval of real words. Twenty novel words were trained for 1 hour x 2 days/week x 4 weeks. Language and learning measures were administered pre- and post-treatment. All three participants showed receptive learning and some improvement on span tasks, while UP and CN demonstrated some expressive learning. KT also improved in performance on the Peabody Picture Vocabulary Test and the Philadelphia Naming Test. UP showed significant improvement on proportion Correct Information Units (CIUs) in discourse. CN showed some minimal improvement in narrative production for proportion CIUs and proportion of closed class words. These findings support that novel word learning treatment, which engages verbal STM processes and lexical retrieval pathways, can improve input lexical processing. Theoretically, this study provides further evidence for models that propose common mechanisms supporting novel word learning, short-term memory, and lexical processing.
Temple University--Theses
Chan, Ka-wai Ricky, i 陳嘉威. "Implicit learning of L2 word stress rules". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B4961793X.
Pełny tekst źródłapublished_or_final_version
English
Master
Master of Philosophy
Snape, Simon Oliver. "Moving beyond perceptually focused word learning strategies". Thesis, University of Birmingham, 2016. http://etheses.bham.ac.uk//id/eprint/6637/.
Pełny tekst źródłaRocha, Eleomarques Ferreira. "Exploring Storybook Illustrations in Learning Word Meanings". ScholarWorks@UNO, 2011. http://scholarworks.uno.edu/td/351.
Pełny tekst źródłaMaher, Elizabeth. "Children's Modality Preference for Novel Word Learning". University of Toledo / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1083594203.
Pełny tekst źródłaMaher, Elizabeth Ann. "Children's modality preference for novel word learning /". See Full Text at OhioLINK ETD Center (Requires Adobe Acrobat Reader for viewing, 2004. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=toledo1083594203.
Pełny tekst źródłaTypescript. "A thesis [submitted] as partial fulfillment of the requirements of the Master of Arts degree in Speech-Language Pathology." Includes bibliographical references (leaves 52-62).
Apfelbaum, Keith S. "Real-Time Competition Processes in Word Learning". Diss., University of Iowa, 2013. https://ir.uiowa.edu/etd/4813.
Pełny tekst źródłaBahl, Megha. "Word Learning by Adults with Learning Disability: Effect of Grammatical Class". Diss., The University of Arizona, 2010. http://hdl.handle.net/10150/193598.
Pełny tekst źródłaRoembke, Tanja Charlotte. "Forget me, forget me not: unlearning incorrect associations in word learning". Diss., University of Iowa, 2019. https://ir.uiowa.edu/etd/6845.
Pełny tekst źródłaSaksida, Amanda. "Word learning in the first year of life". Doctoral thesis, SISSA, 2014. http://hdl.handle.net/20.500.11767/4102.
Pełny tekst źródłaMestres, Missé Anna. "Neural correlates of word learning and meaning acquisition". Doctoral thesis, Universitat de Barcelona, 2007. http://hdl.handle.net/10803/2633.
Pełny tekst źródłaIn order to study the meaning acquisition of new words, the human simulation paradigm was adopted (Gillette et al., 1999). In the first series of experiments (Chapters 2 and 3), adults were provided with congruent and incongruent semantic contexts from which they had to derive the meanings of new words. This strategy was further applied in order to understand the neural mechanisms involved in learning concrete and abstract words (Chapters 4 and 5).
More specifically, Chapter 2 analyzes the interaction of semantic information congruency and meaning resolution using event-related brain potentials (ERP) (experiments 1 and 3). A different experiment explores the effects of context congruence on lexical acquisition using a self-paced reading paradigm (experiment 2). Chapter 3 examines the localization of cortical areas of successful meaning acquisition with functional magnetic resonance imaging (fMRI), and investigates the neural network for lexical learning (experiment 4). In Chapter 4, the self¬paced reading paradigm is used to study meaning acquisition of concrete and abstract words. First, a reanalysis of experiment 2 is presented (experiment 2b). Experiment 5 investigates abstract word learning from congruent and incongruent sentential contexts. Afterward, a comparison between experiments 2b and 5 is presented. In experiment 6, the simultaneous acquisition of concrete and abstract words is studied using the self¬paced paradigm. Finally, Chapter 5 examines the localization of cortical areas differently involved in meaning acquisition of concrete and abstract words using fMRI (experiment 7).
El llenguatge és una capacitat humana que ha fet possible aspectes únics del pensament humà, com la creativitat, l'habilitat de pensar sobre el passat i el futur, la lògica i, totes les formes de cognició d'alt nivell. El llenguatge ens donà l'habilitat de mantenir informació de l'entorn en memòria per a poder manipular-la, i en conseqüència, tenir una eina per a comunicar idees. El llenguatge esdevingué la principal manera de transmetre i emmagatzemar el coneixement i la cultura. Degut a la importància d'aquesta increïble, però a la vegada, complicada habilitat, els humans hem d'aprendre'l durant els primers anys de vida. Un dels primers passos en aquest enigmàtic procés d'aprendre el llenguatge és aprendre les etiquetes del món. Donar un nom a quelcom optimitza la informació, i permet fer categoritzacions, que permeten generalitzacions del coneixement que ja existeix a nous exemplars, objectes o conceptes. Sota una etiqueta arbitrària, una convenció social, les característiques, funcions, parts i relacions amb altres paraules d'un concepte són emmagatzemades. L'aprenentatge d'aquestes etiquetes és un dels primers reptes que els infants han d'afrontar. Per tal d'esdevenir un usuari expert del llenguatge els infants primer han d'aprendre com es denominen les coses, quines coses pertanyen al mateix grup i quines no, és a dir, han d'aprendre a categoritzar el món i generalitzar la informació. Els infants són extremadament bons en això. Els nens comencen a produir les primeres paraules al volant del 12 mesos d'edat, aprenent unes 10 paraules noves cada dia fins al final de la secundaria. Nogensmenys, l'aprenentatge de vocabulari no s'atura al final de l'adolescència, constantment trobem paraules noves, neologismes, argots, que hem d'aprendre. A més a més, la majoria de gent haurà d'aprendre com a mínim una llengua estrangera durant la seva vida. Tot i això, l'adquisició de vocabulari en l'adultesa és molt més lenta i probablement depèn més de factors socials.
Aquesta tesi està dedicada a la comprensió de com els adults aprenen el significat de noves paraules a partir del context semàntic, és a dir, estudia la vinculació d'una paraula amb un concepte utilitzant la informació semàntica proporcionada per les oracions en les que la paraula nova es troba.
Així doncs, per a aquest propòsit, s'han realitzat set experiments. Dos experiments amb potencials evocats, un conductual i un utilitzant ressonància magnètica funcional (fMRI) es centren en l'efecte de la congruència del context semàntic en l'adquisició lèxica. Els següents experiments intenten profunditzar en l'aprenentatge de noves paraules investigant l'adquisició de paraules concretes i abstractes. Amb aquest propòsit s'han realitzat dos experiments conductuals i un utilitzant fMRI.
Cheung, Wai-yan Anissa. "Word learning in normal and language-impaired children". Click to view the E-thesis via HKUTO, 1997. http://sunzi.lib.hku.hk/hkuto/record/B36209405.
Pełny tekst źródła"A dissertation submitted in partial fulfilment of the requirements for the Bachelor of Science (Speech and Hearing Sciences), The University of Hong Kong, April 30, 1997." Also available in print.
Elyildirim, Selma. "Lexical word combinations in EFL learning and teaching". Thesis, University of Reading, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.363457.
Pełny tekst źródłaGrover, Ishaan. "A semantics based computational model for word learning". Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120694.
Pełny tekst źródłaCataloged from PDF version of thesis.
Includes bibliographical references (pages 73-77).
Studies have shown that children's early literacy skills can impact their ability to achieve academic success, attain higher education and secure employment later in life. However, lack of resources and limited access to educational content causes a "knowledge gap" between children that come from different socio-economic backgrounds. To solve this problem, there has been a recent surge in the development of Intelligent Tutoring Systems (ITS) to provide learning benefits to children. However, before providing new content, an ITS must assess a child's existing knowledge. Several studies have shown that children learn new words by forming semantic relationships with words they already know. Human tutors often implicitly use semantics to assess a tutee's word knowledge from partial and noisy data. In this thesis, I present a cognitively inspired model that uses word semantics (semantics-based model) to make inferences about a child's vocabulary from partial information about their existing vocabulary. Using data from a one-to-one learning intervention between a robotic tutor and 59 children, I show that the proposed semantics-based model outperforms (on average) models that do not use word semantics (semantics-free models). A subject level analysis of results reveals that different models perform well for different children, thus motivating the need to combine predictions. To this end, I present two methods to combine predictions from semantics-based and semantics-free models and show that these methods yield better predictions of a child's vocabulary knowledge. Finally, I present an application of the semantics-based model to evaluate if a learning intervention was successful in teaching children new words while enhancing their semantic understanding. More concretely, I show that a personalized word learning intervention with a robotic tutor is better suited to enhance children's vocabulary when compared to a non-personalized intervention. These results motivate the use of semantics-based models to assess children's knowledge and build ITS that maximize children's semantic understanding of words.
"This research was supported by NSF IIP-1717362 and NSF IIS-1523118"--Page 10.
by Ishaan Grover.
S.M.
Rivers, Sue. "Conversations and silence : learning by word of mouse?" Thesis, University of Sheffield, 2008. http://etheses.whiterose.ac.uk/14932/.
Pełny tekst źródłaRaiff, Amy Marie, i Amy Marie Raiff. "Strategy Use and Performance on Word Learning Tasks". Thesis, The University of Arizona, 2017. http://hdl.handle.net/10150/625127.
Pełny tekst źródłaKwok, Rosa Kit Wan. "Orthographic and phonological processing in English word learning". Thesis, University of York, 2014. http://etheses.whiterose.ac.uk/7403/.
Pełny tekst źródłaWalker, Elizabeth Ann. "Word learning processes in children with cochlear implants". Diss., University of Iowa, 2010. https://ir.uiowa.edu/etd/616.
Pełny tekst źródłaDixon, Wallace E. Jr, Allison Lowe, Betsy Caldwell, Hannah Lawman i Andrea Clements. "Temperament Moderates Novel Word Learning at 15 Months". Digital Commons @ East Tennessee State University, 2008. https://dc.etsu.edu/etsu-works/4939.
Pełny tekst źródłaAngalliramachandra, Vijayachandra. "The Relationship Between Phonological Working Memory, Phonological Sensitivity, and Incidental Word Learning". Bowling Green State University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1187362187.
Pełny tekst źródłaLeung, Dilys Hay Lok. "Infants' use of object category distinctions in word learning". Thesis, University of British Columbia, 2011. http://hdl.handle.net/2429/33957.
Pełny tekst źródłaGurteen, Paula May. "A behavioural analysis of rapid word learning in infants". Thesis, Bangor University, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.401923.
Pełny tekst źródłaMolnár, Lajos 1975. "Rule based learning of word pronunciations from training corpora". Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/47906.
Pełny tekst źródłaIncludes bibliographical references (leaves 83-85).
This paper describes a text-to-pronunciation system using transformation-based error-driven learning for speech-recognition purposes. Efforts have been made to make the system language independent, automatic, robust and able to generate multiple pronunciations. The learner proposes initial pronunciations for the words and finds transformations that bring the pronunciations closer to the correct pronunciations. The pronunciation generator works by applying the transformations to a similar initial pronunciation. A dynamic aligner is used for the necessary alignment of phonemes and graphemes. The pronunciations are scored using a weighed string edit distance. Optimizations were made to make the learner and the rule applier fast. The system achieves 73.9% exact word accuracy with multiple pronunciations, 82.3% word accuracy with one correct pronunciation, and 95.3% phoneme accuracy for English words. For proper names, it achieves 50.5% exact word accuracy, 69.2% word accuracy, and 92.0% phoneme accuracy, which outperforms the compared neural network approach.
Lajos Molnár.
M.Eng.and S.B.
Sakhon, Stella, i Stella Sakhon. "Mechanisms of Word-Learning in Typical and Atypical Development". Thesis, The University of Arizona, 2016. http://hdl.handle.net/10150/623161.
Pełny tekst źródłaQuam, Carolyn, Sara Knight i LouAnn Gerken. "The Distribution of Talker Variability Impacts Infants’ Word Learning". UBIQUITY PRESS LTD, 2017. http://hdl.handle.net/10150/623962.
Pełny tekst źródłaAllen, Sarah Rebekah. "Word learning from videos evidence from 2-year-olds /". Thesis, [Tuscaloosa, Ala. : University of Alabama Libraries], 2009. http://purl.lib.ua.edu/2199.
Pełny tekst źródłaBrown, Helen. "Talker-specificity and lexical competition effects during word learning". Thesis, University of York, 2011. http://etheses.whiterose.ac.uk/2200/.
Pełny tekst źródłaFourtassi, Abdellah. "Acquiring sounds and meaning jointly in early word learning". Thesis, Paris, Ecole normale supérieure, 2015. http://www.theses.fr/2015ENSU0049/document.
Pełny tekst źródłaTo acquire their native language, babies have to learn both the forms of words (e.g., “dog” in English, “chien” in French) and their meanings (the category of dogs). These two aspects of language learning have typically been studied independently. However, recent findings from developmental psychology and machine learning have pointed out that this assumption is problematic, and have suggested that form and meaning may interact with one another throughout development. This dissertation explores this hypothesis through an interdisciplinary investigation that combines tools from speech recognition and experimental psychology. First, I developed a computational model of joint form and meaning acquisition, capable of learning from a corpus of natural speech. Second, I tested the cognitive plausibility of this model with adult subjects
Wu, Zhen. "The role of pointing gestures in facilitating word learning". Diss., University of Iowa, 2015. https://ir.uiowa.edu/etd/1805.
Pełny tekst źródłaBest, Rachel. "Lexical acquisition in naturalistic contexts". Thesis, London South Bank University, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.271785.
Pełny tekst źródłaDeibel, Megan E. "Individual Differences in Incidental Learning of Homophones During Silent Reading". Kent State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=kent1594912994777369.
Pełny tekst źródłaAyan, Necip Fazil. "Combining linguistic and machine learning techniques for word alignment improvement". College Park, Md. : University of Maryland, 2005. http://hdl.handle.net/1903/3126.
Pełny tekst źródłaThesis research directed by: Computer Science. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
Zens, Naomi Katharina. "Facilitating Word-Learning Abilities in Children with Specific Language Impairment". Thesis, University of Canterbury. Communication Disorders, 2009. http://hdl.handle.net/10092/2698.
Pełny tekst źródłaWiget, Lukas. "Sublexical representations in auditory word recognition : evidence from lexical learning". Thesis, University of Edinburgh, 2008. http://hdl.handle.net/1842/2677.
Pełny tekst źródłaRamtohul, Venita S. "Lexical access and representations in children : naming and word learning". Thesis, Open University, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.446288.
Pełny tekst źródłaForbes, Samuel Henry. "Colour word and colour category learning in infants and toddlers". Thesis, University of Oxford, 2017. http://ora.ox.ac.uk/objects/uuid:8ec923a1-fa95-4610-8c90-594033b2e706.
Pełny tekst źródłaBarnes, Sarah Butler. "Individual differences in learning to use a word processing system". Thesis, University of Bristol, 1993. http://hdl.handle.net/1983/661df1aa-04f9-483f-b897-efc8ea38215f.
Pełny tekst źródłaRoelike, Haley Ann, i Haley Ann Roelike. "Mechanisms of Word Learning in 2- And 3- Year Olds". Thesis, The University of Arizona, 2017. http://hdl.handle.net/10150/625137.
Pełny tekst źródłaO'Mahony, Sara. "New word learning in young children with Autism Spectrum Disorder". Thesis, University of Sheffield, 2015. http://etheses.whiterose.ac.uk/12708/.
Pełny tekst źródła