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 theWord 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.
Litta Modignani Picozzi, E. M. G., Passarotti, M. C., Ruffolo, P., Node Formation. Using Networks to Inspect Productivity in Affixal Derivation in Classical Latin, in Antonacopoulos, A., Büchler, M. (ed.), Proceedings of the Second International Conference on Digital Access to Textual Cultural Heritage (DATeCH 2017). Göttingen, June 1-2, 2017, ACM, NEW YORK -- USA 2017: 103- 108. http://dx.doi.org/10.1145/3078081.3078092 [http://hdl.handle.net/10807/102780]
Node Formation. Using Networks to Inspect Productivity in Affixal Derivation in Classical Latin
Litta Modignani Picozzi, Eleonora Maria GabriellaPrimo
;Passarotti, Marco CarloSecondo
;Ruffolo, PaoloUltimo
2017
Abstract
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 theWord 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.
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