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The theory achieves an exhaustive and discrete enumeration of the data points. There is a pigeonhole for each observation. Descriptive adequacy. The theory formally specifies rules accounting for all observed arrangements of the data. The rules produce all and only the well-formed constructs (relations) of the protocol space.
The strings and may be empty, but must be nonempty. The rule S → ϵ {\displaystyle S\rightarrow \epsilon } is allowed if S {\displaystyle S} does not appear on the right side of any rule. The languages described by these grammars are exactly all languages that can be recognized by a linear bounded automaton (a nondeterministic Turing machine ...
Level of detail in writing, sometimes known as level of abstraction, refers to three concepts: the precision in using the right words to form phrases, clauses and sentences; [1] the generality of statements; and the organisational strategy in which authors arrange ideas according to a common topic in the hierarchy of detail.
Treebanks are necessarily constructed according to a particular grammar. The same grammar may be implemented by different file formats. For example, the syntactic analysis for John loves Mary, shown in the figure on the right/above, may be represented by simple labelled brackets in a text file, like this (following the Penn Treebank notation):
Level of measurement or scale of measure is a classification that describes the nature of information within the values assigned to variables. [1] Psychologist Stanley Smith Stevens developed the best-known classification with four levels, or scales, of measurement: nominal, ordinal, interval, and ratio.
According to Chomsky, a speaker's grammaticality judgement is based on two factors: . A native speaker's linguistic competence, which is the knowledge that they have of their language, allows them to easily judge whether a sentence is grammatical or ungrammatical based on intuitive introspection.
The Vega and Vega-Lite grammars extend Leland Wilkinson's Grammar of Graphics [2] by adding a novel grammar of interactivity to assist in the exploration of complex datasets. Vega acts as a low-level language suited to explanatory figures (the same use case as D3.js), while Vega-Lite is a higher-level language suited to rapidly exploring data. [3]
W-grammars are two-level grammars: they are defined by a pair of grammars, that operate on different levels: the hypergrammar is an attribute grammar, i.e. a set of context-free grammar rules in which the nonterminals may have attributes; and; the metagrammar is a context-free grammar defining possible values for these attributes.