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Semantic properties of English nominal pluralization: Insights from word embeddings ...
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Bilingual and multilingual mental lexicon: a modeling study with Linear Discriminative Learning
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The processing of pseudoword form and meaning in production and comprehension: A computational modeling approach using linear discriminative learning.
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In: Behavior research methods, vol 53, iss 3 (2021)
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Modeling morphology with Linear Discriminative Learning: considerations and design choices ...
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Learning Zero-Shot Multifaceted Visually Grounded Word Embeddings via Multi-Task Training ...
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Relative functional load determines co-articulatory movements of the tongue tip ...
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Relative functional load determines co-articulatory movements of the tongue tip ...
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Abstract:
Does morphological structure affect articulation when segmental similarity is strictly controlled? To address this question, we used electromagnetic articulography to study the articulatory trajectories of tongue tip and tongue body during the articulation of German words containing [a(:)] as stem vowels followed by [t] that in roughly half of the words realized an inflectional function. According to a generalized additive model fitted to the articulatory trajectories of tongue body and tongue tip sensors using electromagnetic articulography, a factorial predictor signaling the presence or absence of an inflectional exponent underperformed compared to a quantitative measure derived from a Linear Discriminative Learning model. This quantitative measure is based on the functional load of triphones, i.e., the extent to which a triphone contributes to the meaning of the word. The relative functional load of the stem triphone (centered around [a(:)]) and the triphone pivoted on the [t] emerged as a strong ... : This study was funded by the European Research Council (WIDE-#742545 awarded to the third author) and by the Deutsche Forschungsgemeinschaft (Research Unit FOR2373 'Spoken Morphology', Project 'The articulation of morphologically complex words', BA3080/3-2). ...
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Keyword:
Articulatory Phonetics; Electromagnetic Articulography; Generalized Additive Mixed Models; Linear Discriminative Learning; Optimized Articulatory Gestures; Relative Functional Load
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URL: https://zenodo.org/record/5105948
https://dx.doi.org/10.5281/zenodo.5105948
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Vector Space Morphology with Linear Discriminative Learning ...
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A note on the modeling of the effects of experimental time in psycholinguistic experiments ...
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Modeling Morphology With Linear Discriminative Learning: Considerations and Design Choices
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In: Front Psychol (2021)
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Learning Zero-Shot Multifaceted Visually Grounded Word Embeddings via Multi-Task Training
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Deconfounding the effects of competition and attrition on dialect across the lifespan : a panel study investigation of Swabian
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Bilingual and Multilingual Mental Lexicon: A Modeling Study With Linear Discriminative Learning
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Analyzing phonetic data with generalized additive mixed models
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Phonetic effects of morphology and context : modeling the duration of word-final S in English with naïve discriminative learning
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Variation Within Idiomatic Variation: Exploring the Differences Between Speakers and Idioms
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Modeling Morphological Priming in German With Naive Discriminative Learning
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In: Frontiers in Communication ; 5 (2020). - 17. - Frontiers Media. - eISSN 2297-900X (2020)
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