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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...12 Hits 1 – 20 of 235 1 A new genus of land planarian (Platyhelminthes, Geoplanidae) for a new ‘blind’ species ... Negrete, Lisandro; Francavilla, Marina Lenguas; Damborenea, Cristina. - : Taylor & Francis, 2022 BASE Show details 2 A new genus of land planarian (Platyhelminthes, Geoplanidae) for a new ‘blind’ species ... Negrete, Lisandro; Francavilla, Marina Lenguas; Damborenea, Cristina. - : Taylor & Francis, 2022 BASE Show details 3 Animal linguistics in the making: the Urgency Principle and titi monkeys’ alarm system ... Sabaté, Lara Narbona; Mesbahi, Geoffrey; Dezecache, Guillaume. - : Taylor & Francis, 2022 BASE Show details 4 Animal linguistics in the making: the Urgency Principle and titi monkeys’ alarm system ... Sabaté, Lara Narbona; Mesbahi, Geoffrey; Dezecache, Guillaume. - : Taylor & Francis, 2022 BASE Show details 5 Modelling Maltese noun plural classes without morphemes ... Nieder, Jessica; Tomaschek, Fabian; Cohrs, Enum; van de Vijver, Ruben. - : Taylor & Francis, 2022 Abstract: Word-based models of morphology propose that complex words are stored without reference to morphemes. One of the questions that arises is whether information about word forms alone is enough to determine a noun's number from its form. We take up this question by modelling the classification and production of the Maltese noun plural system, using models that do not assume morphemic representations. We use the Tilburg Memory-Based Learner, a computational implementation of exemplar theory and the Naive Discriminative Learner, an implementation of Word and Paradigm, for classification. Both models classify Maltese nouns well. In their current implementations, TiMBL and NDL cannot concatenate sequences of phones that result in word forms. We used two neural networks architectures (LSTM and GRU) to model the production of plurals. We conclude that the Maltese noun plural system can be modelled on the basis of whole words without morphemes, supporting word-based models of morphology. ... Keyword: 59999 Environmental Sciences not elsewhere classified; 69999 Biological Sciences not elsewhere classified; 80699 Information Systems not elsewhere classified; FOS Biological sciences; FOS Computer and information sciences; FOS Earth and related environmental sciences; Science Policy URL: https://dx.doi.org/10.6084/m9.figshare.16645538 https://tandf.figshare.com/articles/dataset/Modelling_Maltese_noun_plural_classes_without_morphemes/16645538 BASE Hide details 6 Modelling Maltese noun plural classes without morphemes ... Nieder, Jessica; Tomaschek, Fabian; Cohrs, Enum. - : Taylor & Francis, 2022 BASE Show details 7 “There are endless areas that they can use it for”: speech-language pathologist perspectives of technology support for aphasia self-management ... Nichol, Leana; Pitt, Rachelle; Wallace, Sarah J.. - : Taylor & Francis, 2022 BASE Show details 8 “There are endless areas that they can use it for”: speech-language pathologist perspectives of technology support for aphasia self-management ... Nichol, Leana; Pitt, Rachelle; Wallace, Sarah J.. - : Taylor & Francis, 2022 BASE Show details 9 Transregional News Media Coverage in Multilingual Countries: The Impact of Market Size, Source, and Media Type in Switzerland ... Vogler, Daniel; Udris, Linards. - : Taylor & Francis, 2021 BASE Show details 10 Transregional News Media Coverage in Multilingual Countries: The Impact of Market Size, Source, and Media Type in Switzerland ... Vogler, Daniel; Udris, Linards. - : Taylor & Francis, 2021 BASE Show details 11 Prediction of antimicrobial peptides toxicity based on their physico-chemical properties using machine learning techniques ... Khabbaz, Hossein; Karimi-Jafari, Mohammad Hossein; Saboury, Ali Akbar. - : figshare, 2021 BASE Show details 12 Prediction of antimicrobial peptides toxicity based on their physico-chemical properties using machine learning techniques ... Khabbaz, Hossein; Karimi-Jafari, Mohammad Hossein; Saboury, Ali Akbar. - : figshare, 2021 BASE Show details 13 (Swiss) GraphoLearn: an app-based tool to support beginning readers ... Mehringer, Hannah; Fraga-González, Gorka; Pleisch, Georgette. - : figshare, 2021 BASE Show details 14 Map labeling with the International Phonetic Alphabet: the example of the Middle East ... Dušek, Radek; Popelková, Renata. - : Taylor & Francis, 2021 BASE Show details 15 Map labeling with the International Phonetic Alphabet: the example of the Middle East ... Dušek, Radek; Popelková, Renata. - : Taylor & Francis, 2021 BASE Show details 16 (Swiss) GraphoLearn: an app-based tool to support beginning readers ... Mehringer, Hannah; Fraga-González, Gorka; Pleisch, Georgette. - : figshare, 2021 BASE Show details 17 Morphological processing in the flankers task ... Grainger, Jonathan; Snell, Joshua; Beyersmann, Elisabeth. - : Taylor & Francis, 2021 BASE Show details 18 Morphological processing in the flankers task ... Grainger, Jonathan; Snell, Joshua; Beyersmann, Elisabeth. - : Taylor & Francis, 2021 BASE Show details 19 Evidence for dual-route morphological processing across the lifespan: data from Russian noun plurals ... Savinova, Elena; Malyutina, Svetlana. - : Taylor & Francis, 2021 BASE Show details 20 Finding a “flower” in a “peanut” is as easy as in a “garden”: towards a lemma-based model of bilingual word recognition ... Wang, Xin; Taft, Marcus; Wang, Jie. - : Taylor & Francis, 2021 BASE Show details Page: 1 2 3 4 5...12

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