Naturalfromal

Naturalfromal is a term used to describe an integrated approach that fuses natural language understanding with formal representation systems. The aim is to let users express requirements, specifications, or queries in natural language while ensuring content can be processed unambiguously by machines through formal semantics.

Origin and usage: The term appears in interdisciplinary discussions at the intersection of linguistics, computer science, and knowledge engineering, notably since the 2010s. It is used to characterize methods that map natural language into formal formalisms such as logic, description logics, or ontology languages, and back.

Core concepts: Naturalfromal approaches rely on a bidirectional pipeline: parsing natural language to a formal representation, and generating natural language explanations from formal models. They often employ controlled natural language constructs, lexical semantics, and grammar formalisms to constrain ambiguity. They emphasize traceability, constraints, and domain modeling.

Applications: Requirements specification, knowledge engineering, formal verification, program synthesis, and advanced conversational agents. The approach supports automated reasoning, consistency checks, and provenance tracking.

Example: The sentence "Every customer who placed an order must be billed" can be translated into a first-order logic formula with predicates for Customer, Order, and Invoice, plus a constraint ensuring status=billed.

Criticism and challenges: Challenges include scalability, rigidity, and the need for collaboration between domain experts and linguists or logicians.

See also: natural language processing, formal methods, controlled natural language, semantic parsing.