Node Formation. Using Networks to Inspect Productivity in Affixal Derivation in Classical Latin
| Autor: | Eleonora Litta, Marco Carlo Passarotti, Paolo Ruffolo |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
050101 languages & linguistics Computer science Settore L-LIN/01 - GLOTTOLOGIA E LINGUISTICA Network theory computer.software_genre Lexicon 03 medical and health sciences Resource (project management) 0501 psychology and cognitive sciences Basis (linear algebra) business.industry Node (networking) Derivational Morphology 06 humanities and the arts Word formation Classical Latin language.human_language Latin 030104 developmental biology language Artificial intelligence business computer Productivity (linguistics) Natural language processing |
| Zdroj: | DATeCH |
| Popis: | This paper investigates the distribution of word formation data through network visualisation, as an entry point for the exploration / analysis of productivity in affixal derivation in Classical Latin. This study uses data from the Word Formation Latin lexicon, a derivational morphology resource for Latin, where entries are analysed into their formative components, and relationships between them are established on the basis of word formation rules. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|