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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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| 8 |
Vector Space Morphology with Linear Discriminative Learning ...
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| 10 |
An ultrasound study of frequency and co-articulation ...
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Abstract:
Anticipatory coarticulation has been reported to be affected by word form frequency. However, it remains unclear whether frequency effect also modulates carry-over (perseverative) coarticulation. To investigate the interaction of word form frequency effect and carry-over/anticipatory coarticulations, ultrasound imaging was performed on the articulation of the vowel [a:] in German verbs. Effects of coarticulation were induced by controlling the verb’s suffixes and preceding pronouns. Contrary to the standard tongue contour analysis, we analyzed whole ultrasound images using Generalized Additive Models. We found more fronted tongue root, lower tongue body, and higher tongue tip in low-frequency words. By contrast, high-frequency words showed a more rounded tongue shape. This was reflected by the middle part of the tongue to be higher and the tongue root more retracted in high frequency words in comparison to low frequency words. These findings indicate more optimized tongue movements for higher frequency words. ... : This study is funded 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; Coarticulation; Frequency; Generalized Additive Mixed Models
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URL: https://zenodo.org/record/5105952
https://dx.doi.org/10.5281/zenodo.5105952
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| 11 |
A note on the modeling of the effects of experimental time in psycholinguistic experiments ...
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| 12 |
Modeling Morphology With Linear Discriminative Learning: Considerations and Design Choices
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In: Front Psychol (2021)
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| 13 |
Learning Zero-Shot Multifaceted Visually Grounded Word Embeddings via Multi-Task Training
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| 14 |
Deconfounding the effects of competition and attrition on dialect across the lifespan : a panel study investigation of Swabian
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| 15 |
Bilingual and Multilingual Mental Lexicon: A Modeling Study With Linear Discriminative Learning
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| 16 |
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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