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Bootstrapping in linguistics was first introduced by Steven Pinker as a metaphor for the idea that children are innately equipped with mental processes that help initiate language acquisition. Bootstrapping attempts to identify the language learning processes that enable children to learn about the structure of the target language. [2]
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]
In general, bootstrapping usually refers to a self-starting process that is supposed to continue or grow without external input. Many analytical techniques are often called bootstrap methods in reference to their self-starting or self-supporting implementation, such as bootstrapping (statistics), bootstrapping (finance), or bootstrapping (linguistics).
A key criticism of the bootstrapping theory in general is that these mechanisms (whether they be syntactic, semantic, or prosodic) serve mainly as a starting point for learning the language. [5] That is, the bootstrapping mechanisms are only useful up to a certain point in linguistic development for infants, and thus there might be some other ...
Finally, syntactic bootstrapping proposes that word meanings are acquired through knowledge of a language's syntactic structure. [ 5 ] However, regardless of the method of acquisitions, there is a consensus among bootstrappers that bootstrapping theories of lexical acquisition depend on the natural link between semantic meaning and syntactic ...
Bootstrapping: If using a compiler, a developer may use the process of bootstrapping, where a compiler for a programming language is rewritten in itself. [13] This is good for bug checking, and proving its capability. [14] Bootstrapping also comes with the benefit of only needing to program the language in itself from there-on.
Computer-assisted language learning (CALL), known as computer-aided instruction (CAI) in British English and computer-aided language instruction (CALI) in American English, [1] Levy (1997: p. 1) briefly defines it as "the exploration and study of computer applications in language teaching and learning."
They are used to illustrate and reason about transformations from a source language (left of T) to a target language (right of T) realised in an implementation language (bottom of T). They are most commonly found describing complicated processes for bootstrapping , porting , and self-compiling of compilers, interpreters, and macro-processors .