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Auslan (/ ˈ ɒ z l æ n /; an abbreviation of Australian Sign Language) is the sign language used by the majority of the Australian Deaf community.Auslan is related to British Sign Language (BSL) and New Zealand Sign Language (NZSL); the three have descended from the same parent language, and together comprise the BANZSL language family.
In semantics, the best-known types of semantic equivalence are dynamic equivalence and formal equivalence (two terms coined by Eugene Nida), which employ translation approaches that focus, respectively, on conveying the meaning of the source text; and that lend greater importance to preserving, in the translation, the literal structure of the source text.
In formal language theory, weak equivalence of two grammars means they generate the same set of strings, i.e. that the formal language they generate is the same. In compiler theory the notion is distinguished from strong (or structural) equivalence, which additionally means that the two parse trees [clarification needed] are reasonably similar in that the same semantic interpretation can be ...
Trevor Johnston FAHA is an Australian expert on Auslan.. Johnston received his PhD from the University of Sydney in 1989 for his work on Auslan. [1] Johnston was responsible for coining the term Auslan, [2] and created the first Auslan dictionary, which was also one of the first sign language dictionaries that sequenced signs throughout according to principles that were language internal ...
While traditional linguistic studies had developed comparative methods (comparative linguistics), chiefly to demonstrate family relations between cognate languages, or to illustrate the historical developments of one or more languages, modern contrastive linguistics intends to show in what ways the two respective languages differ, in order to help in the solution of practical problems.
A notable example of deep semantic annotation is the Groningen Meaning Bank, developed at the University of Groningen and annotated using Discourse Representation Theory. An example of a shallow semantic treebank is PropBank , which provides annotation of verbal propositions and their arguments, without attempting to represent every word in the ...
In computer metadata, semantic equivalence is a declaration that two data elements from different vocabularies contain data that has similar meaning. There are three types of semantic equivalence statements: Class or concept equivalence. A statement that two high level concepts have similar or equivalent meaning. Property or attribute equivalence.
In 1981, Peter Newmark referred to translation as either semantic (word-for-word) or communicative (sense-for-sense). [19] He stated that semantic translation is one that is source language bias, literal and faithful to the source text and communicative translation is target language bias, free and idiomatic . [ 20 ]