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Semantic properties of English nominal pluralization: Insights from word embeddings ...
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Abstract:
Semantic differentiation of nominal pluralization is grammaticalized in many languages. For example, plural markers may only be relevant for human nouns. English does not appear to make such distinctions. Using distributional semantics, we show that English nominal pluralization exhibits semantic clusters. For instance, pluralization of fruit words is more similar to one another and less similar to pluralization of other semantic classes. Therefore, reduction of the meaning shift in plural formation to the addition of an abstract plural meaning is too simplistic. A semantically informed method, called CosClassAvg, is introduced that outperforms pluralization methods in distributional semantics which assume plural formation amounts to the addition of a fixed plural vector. In comparison with our approach, a method from compositional distributional semantics, called FRACSS, predicted plural vectors that were more similar to the corpus-extracted plural vectors in terms of direction but not vector length. A ... : 45 pages (including references), 14 figures. This article is under review at `Morphology' ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2203.15424
https://dx.doi.org/10.48550/arxiv.2203.15424
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| 2 |
Bilingual and multilingual mental lexicon: a modeling study with Linear Discriminative Learning
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| 3 |
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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| 4 |
Modeling morphology with Linear Discriminative Learning: considerations and design choices ...
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| 5 |
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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| 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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| 17 |
Phonetic effects of morphology and context : modeling the duration of word-final S in English with naïve discriminative learning
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| 19 |
Variation Within Idiomatic Variation: Exploring the Differences Between Speakers and Idioms
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| 20 |
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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