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Overregularization is defined as the "application of a principle of regular change to a word that changes irregularly." [ 4 ] Examples of overregularization in verb use include using the word comed instead of came .
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.
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.
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.
Vocabulary development is a process by which people acquire words. Babbling shifts towards meaningful speech as infants grow and produce their first words around the age of one year.
Semantic bootstrapping is a linguistic theory of child language acquisition which proposes that children can acquire the syntax of a language by first learning and recognizing semantic elements and building upon, or bootstrapping from, that knowledge. [1]
Mutual exclusivity is a word learning constraint that involves the tendency to assign one label/name, and in turn avoid assigning a second label, to a single object. [1] ...