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Grammar induction (or grammatical inference) [1] is the process in machine learning of learning a formal grammar (usually as a collection of re-write rules or productions or alternatively as a finite-state machine or automaton of some kind) from a set of observations, thus constructing a model which accounts for the characteristics of the observed objects.
teaching concepts and vocabulary through pantomiming, real-life objects and other visual materials; teaching grammar by using an inductive approach (i.e. having learners find out rules through the presentation of adequate linguistic forms in the target language) the centrality of spoken language (including a native-like pronunciation)
Demonstrating, which is also called the coaching style or the Lecture-cum-Demonstration method, [11] is the process of teaching through examples or experiments. [12] The framework mixes the instructional strategies of information imparting and showing how. [11] For example, a science teacher may teach
Young children should receive sufficient pre-reading instruction so they are able to start systematic phonics work "by the age of five". High quality phonics work should be taught as "the prime approach" to teaching reading, writing, and spelling. Phonics instruction should form a part of "a broad and rich language curriculum".
In computational learning theory, induction of regular languages refers to the task of learning a formal description (e.g. grammar) of a regular language from a given set of example strings. Although E. Mark Gold has shown that not every regular language can be learned this way (see language identification in the limit ), approaches have been ...
Syntactic bootstrapping is a theory about the process of how children identify word meanings based on their syntactic categories. In other words, how knowledge of grammatical structure, including how syntactic categories (adjectives, nouns, verbs, etc.) combine into phrases and constituents in order to form sentences, "bootstraps" the ...