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Matías Guzmán Naranjo investigates how analogy helps organise the lexicon and how those relations can be represented within formal grammar. The book connects models based on similarities between words with grammatical approaches that organise lexical entries into structured classes.
The analysis develops an explicit account of analogical classification, examines computational models and considers their relationship with grammatical generalisations. Examples and formal representations show how patterns of similarity can support predictions about a word’s grammatical behaviour. The complete original 2019 volume retains its models, diagrams, data, bibliography and indexes, providing an adult academic study of the relationship between usage and grammatical structure.
Matías Guzmán Naranjo. Analogical Classification in Formal Grammar. Language Science Press, 2019. https://doi.org/10.5281/zenodo.3191825. CC BY 4.0: https://creativecommons.org/licenses/by/4.0/. Cover and concept of design: Ulrike Harbort. Original edition and credits retained unchanged.