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The term universal grammar refers to the set of constraints on what a possible human language could be. Within approaches that accept universal grammar, language acquisition is viewed as a process of using sensory input to filter through the set of possible grammars that conform to UG. [27] [28]
Google Translate is not as reliable as human translation. When text is well-structured, written using formal language, with simple sentences, relating to formal topics for which training data is ample, it often produces conversions similar to human translations between English and a number of high-resource languages.
Google Translate's NMT system uses a large artificial neural network capable of deep learning. [1] [2] [3] By using millions of examples, GNMT improves the quality of translation, [2] using broader context to deduce the most relevant translation. The result is then rearranged and adapted to approach grammatically based human language. [1]
A key feature of a grammar based on constructions is that it can reflect the deeply intertwined lexical items and grammar structure. From a grammarian perspective, constructions are groupings of words with idiosyncratic behaviour to a certain extent. They mostly take on an unpredictable meaning or pragmatic effect, or are formally special.
A Grammar of the English Language, In a Series of Letters: Intended for the Use of Schools and of Young Persons in General, but more especially for the use of Soldiers, Sailors, Apprentices, and Plough-Boys. New York and Chicago: A. S. Barnes and Company. Cobbett, William (2003) [1818]. A Grammar of the English Language (Oxford Language ...
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Language can be vocalized as in speech, or manual as in sign. [1] Human language capacity is represented in the brain. Even though human language capacity is finite, one can say and understand an infinite number of sentences, which is based on a syntactic principle called recursion. Evidence suggests that every individual has three recursive ...