= Language identification in the limit
{wiki=Language_identification_in_the_limit}
Language identification in the limit is a concept from the field of computational learning theory, specifically related to the study of how machines (or algorithms) can learn to identify languages based on a set of examples. The primary focus is on the way a learning algorithm can converge or identify a particular language given a sequence of positive and/or negative examples over time. In formal terms, a language \\( L \\) can be thought of as a set of strings (words, sentences, etc.).
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