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In overregularization, the regular ways of modifying or connecting words are mistakenly applied to words that require irregular modifications or connections. It is a normal effect observed in the language of beginner and intermediate language-learners, whether native-speaker children or foreign-speaker adults.
Overregularization research led by Daniel Slobin argues against B.F. Skinner's view of language development through reinforcement. It shows that children actively construct words' meanings and forms during the child's own development. [6] Differing views on the causes of overregularization and its extinction have been presented.
In machine learning, a key challenge is enabling models to accurately predict outcomes on unseen data, not just on familiar training data.Regularization is crucial for addressing overfitting—where a model memorizes training data details but can't generalize to new data.
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Analogy plays an important role in child language acquisition.The relationship between language acquisition and language change is well established, [2] and while both adult speakers and children can be innovators of morphophonetic and morphosyntactic change, [3] analogy used in child language acquisition likely forms one major source of analogical change.
Language acquisition is the process by which humans acquire the capacity to perceive and comprehend language.In other words, it is how human beings gain the ability to be aware of language, to understand it, and to produce and use words and sentences to communicate.
Overregularization and Regularization (linguistics) are two start-class pages on similar topics. The former takes a language acquisition perspective and the latter a diachronic perspective, but both describe processes (individual or historical) whereby language elements become regularized.
Text and/or other creative content from this version of Overregularization was copied or moved into Regularization (linguistics). The former page's ...