Functional discourse grammarFunctional grammar (FG) and functional discourse grammar (FDG) are grammar models and theories motivated by functional theories of grammar. These theories explain how linguistic utterances are shaped, based on the goals and knowledge of natural language users. In doing so, it contrasts with Chomskyan transformational grammar. Functional discourse grammar has been developed as a successor to functional grammar, attempting to be more psychologically and pragmatically adequate than functional grammar.
Definite clause grammarA definite clause grammar (DCG) is a way of expressing grammar, either for natural or formal languages, in a logic programming language such as Prolog. It is closely related to the concept of attribute grammars / affix grammars from which Prolog was originally developed. DCGs are usually associated with Prolog, but similar languages such as Mercury also include DCGs. They are called definite clause grammars because they represent a grammar as a set of definite clauses in first-order logic.
Link grammarLink grammar (LG) is a theory of syntax by Davy Temperley and Daniel Sleator which builds relations between pairs of words, rather than constructing constituents in a phrase structure hierarchy. Link grammar is similar to dependency grammar, but dependency grammar includes a head-dependent relationship, whereas Link Grammar makes the head-dependent relationship optional (links need not indicate direction). Colored Multiplanar Link Grammar (CMLG) is an extension of LG allowing crossing relations between pairs of words.
Lexical analysisLexical tokenization is conversion of a text into (semantically or syntactically) meaningful lexical tokens belonging to categories defined by a "lexer" program. In case of a natural language, those categories include nouns, verbs, adjectives, punctuations etc. In case of a programming language, the categories include identifiers, operators, grouping symbols and data types. Lexical tokenization is not the same process as the probabilistic tokenization, used for large language model's data preprocessing, that encode text into numerical tokens, using byte pair encoding.
Stochastic grammarA stochastic grammar (statistical grammar) is a grammar framework with a probabilistic notion of grammaticality: Stochastic context-free grammar Statistical parsing Data-oriented parsing Hidden Markov model Estimation theory The grammar is realized as a language model. Allowed sentences are stored in a database together with the frequency how common a sentence is. Statistical natural language processing uses stochastic, probabilistic and statistical methods, especially to resolve difficulties that arise because longer sentences are highly ambiguous when processed with realistic grammars, yielding thousands or millions of possible analyses.
Formalism (linguistics)In linguistics, the term formalism is used in a variety of meanings which relate to formal linguistics in different ways. In common usage, it is merely synonymous with a grammatical model or a syntactic model: a method for analyzing sentence structures. Such formalisms include different methodologies of generative grammar which are especially designed to produce grammatically correct strings of words; or the likes of Functional Discourse Grammar which builds on predicate logic.
History of musicAlthough definitions of music vary wildly throughout the world, every known culture partakes in it, and it is thus considered a cultural universal. The origins of music remain highly contentious; commentators often relate it to the origin of language, with much disagreement surrounding whether music arose before, after or simultaneously with language. Many theories have been proposed by scholars from a wide range of disciplines, though none has achieved broad approval.
Hamilton (musical)Hamilton is a sung-and-rapped-through biographical musical with music, lyrics, and book by Lin-Manuel Miranda. Based on the 2004 biography Alexander Hamilton by Ron Chernow, the musical covers the life of American Founding Father Alexander Hamilton and his involvement in the American Revolution and the political history of the early United States. Composed over a seven-year period from 2008 to 2015, the music draws heavily from hip hop, as well as R&B, pop, soul, and traditional-style show tunes.
Problem of inductionFirst formulated by David Hume, the problem of induction questions our reasons for believing that the future will resemble the past, or more broadly it questions predictions about unobserved things based on previous observations. This inference from the observed to the unobserved is known as "inductive inferences", and Hume, while acknowledging that everyone does and must make such inferences, argued that there is no non-circular way to justify them, thereby undermining one of the Enlightenment pillars of rationality.
Head-driven phrase structure grammarHead-driven phrase structure grammar (HPSG) is a highly lexicalized, constraint-based grammar developed by Carl Pollard and Ivan Sag. It is a type of phrase structure grammar, as opposed to a dependency grammar, and it is the immediate successor to generalized phrase structure grammar. HPSG draws from other fields such as computer science (data type theory and knowledge representation) and uses Ferdinand de Saussure's notion of the sign. It uses a uniform formalism and is organized in a modular way which makes it attractive for natural language processing.
