Database Semantics
Bibliographic Data
| ID | 4940101 |
|---|---|
| Authors | Roland Hausser (Friedrich-Alexander-Universität Erlangen-Nürnberg, corresponding author) |
| Year | 2021 |
| Volume | 2 |
| Issue | 1 |
| Pages | e382 |
| Publication date | 2021-12-14 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Cadernos de Linguística e Teoria da Literatura (Universidade Federal de Minas Gerais) (JOURNAL) |
| Journal identifiers | ISSN: 2675-4916 • E-ISSN: 2675-4916 |
| Publisher | Associacao Brasileira de Linguistica (PUBLISHER) |
| DOI | 10.25189/2675-4916.2021.v2.n1.id382 |
| OpenAlex | W4200393472 |
| Language | EN |
| References cited | 13 |
For long-term upscaling, the computational reconstruction of a complex natural mechanism must be input-output equivalent with the prototype, i.e. the reconstruction must take the same input and produce the same output in the same processing order as the original. Accordingly, the modeling of natural language communication in Database Semantics (DBS) uses a time-linear derivation order for the speaker's output and the hearer's input. The language-dependent surfaces serving as the vehicle of content transfer from speaker to hearer are raw data without meaning or any grammatical properties whatsoever, but measurable by natural science
Database · Natural language · Natural language processing · Programming language · Computer Science · Language and cultural evolution · Semantic Web and Ontologies · Speech and dialogue systems · Artificial Intelligence
| Highly cited | No |
|---|