• Natural Language Processing (NLP) and formal semantics converge to embed meaning within syntactic structures, advancing integrated semantic theories across linguistic description and generative grammar [1], [3], [6], [4], [15].

• Early computational semantics and engineering approaches shape NLP systems, data bases, and the formal description of language, blending logic with linguistic data [5], [2], [15], [19], [9].

• Lexical semantics and the internal lexicon examine homography, systematicity, and frequency effects, probing how word-level meaning drives interpretation [7], [20], [17], [16].

• Semantics in generative and descriptive theories map syntax to meaning via interpretable semantic frameworks, reflecting competing models such as semantic interpretation in generative grammar and generative semantics [8], [14], [10], [4].