Publication: The Entropy of Morphological Systems in Natural Languages Is Modulated by Functional and Semantic Properties
The Entropy of Morphological Systems in Natural Languages Is Modulated by Functional and Semantic Properties
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Franzon, F., & Zanini, C. (2023). The Entropy of Morphological Systems in Natural Languages Is Modulated by Functional and Semantic Properties. Journal of Quantitative Linguistics, 30(1), 42–66. https://doi.org/10.1080/09296174.2022.2063501
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In most natural languages, grammatical gender and number features encode semantic attributes concerning animacy, sex, and numerosity. Despite the likely advantage of promptly communicating about such salient attributes, inflectional systems rarely display consistently bijective correspondences between the semantic attributes and the grammatical feature values. In a study on Italian, we explored how this apparently noisy encoding depends on a trade-off between the semantic and the functional aspects of grammatical features. Using entro
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- Franzon, Francesca
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Franzon, F., & Zanini, C. (2023). The Entropy of Morphological Systems in Natural Languages Is Modulated by Functional and Semantic Properties. Journal of Quantitative Linguistics, 30(1), 42–66. https://doi.org/10.1080/09296174.2022.2063501
