Node Formation. Using Networks to Inspect Productivity in Affixal Derivation in Classical Latin

Eleonora Maria Gabriella Litta Modignani Picozzi; Marco Carlo Passarotti; Paolo Ruffolo

doi:http://dx.doi.org/10.1145/3078081.3078092

Node Formation. Using Networks to Inspect Productivity in Affixal Derivation in Classical Latin

Eleonora Maria Gabriella Litta Modignani Picozzi, Marco Carlo Passarotti, Paolo Ruffolo

Research output: Chapter in Book/Report/Conference proceeding › Chapter

3 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings of the Second International Conference on Digital Access to Textual Cultural Heritage (DATeCH 2017). Göttingen, June 1-2, 2017
Editors	Apostolos Antonacopoulos, Marco Büchler
Pages	103-108
Number of pages	6
DOIs	https://doi.org/10.1145/3078081.3078092
Publication status	Published - 2017

Keywords

Derivational Morphology
Latin

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http://dx.doi.org/10.1145/3078081.3078092

Cite this

Litta Modignani Picozzi, E. M. G., Passarotti, M. C., & Ruffolo, P. (2017). Node Formation. Using Networks to Inspect Productivity in Affixal Derivation in Classical Latin. In A. Antonacopoulos, & M. Büchler (Eds.), Proceedings of the Second International Conference on Digital Access to Textual Cultural Heritage (DATeCH 2017). Göttingen, June 1-2, 2017 (pp. 103-108) https://doi.org/10.1145/3078081.3078092

Litta Modignani Picozzi, Eleonora Maria Gabriella ; Passarotti, Marco Carlo ; Ruffolo, Paolo. / Node Formation. Using Networks to Inspect Productivity in Affixal Derivation in Classical Latin. Proceedings of the Second International Conference on Digital Access to Textual Cultural Heritage (DATeCH 2017). Göttingen, June 1-2, 2017. editor / Apostolos Antonacopoulos ; Marco Büchler. 2017. pp. 103-108

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keywords = "Derivational Morphology, Latin, Derivational Morphology, Latin",

author = "{Litta Modignani Picozzi}, {Eleonora Maria Gabriella} and Passarotti, {Marco Carlo} and Paolo Ruffolo",

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Litta Modignani Picozzi, EMG , Passarotti, MC & Ruffolo, P 2017, Node Formation. Using Networks to Inspect Productivity in Affixal Derivation in Classical Latin. in A Antonacopoulos & M Büchler (eds), Proceedings of the Second International Conference on Digital Access to Textual Cultural Heritage (DATeCH 2017). Göttingen, June 1-2, 2017. pp. 103-108. https://doi.org/10.1145/3078081.3078092

Node Formation. Using Networks to Inspect Productivity in Affixal Derivation in Classical Latin. / Litta Modignani Picozzi, Eleonora Maria Gabriella ; Passarotti, Marco Carlo; Ruffolo, Paolo.

Proceedings of the Second International Conference on Digital Access to Textual Cultural Heritage (DATeCH 2017). Göttingen, June 1-2, 2017. ed. / Apostolos Antonacopoulos; Marco Büchler. 2017. p. 103-108.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

TY - CHAP

T1 - Node Formation. Using Networks to Inspect Productivity in Affixal Derivation in Classical Latin

AU - Litta Modignani Picozzi, Eleonora Maria Gabriella

AU - Passarotti, Marco Carlo

AU - Ruffolo, Paolo

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - Derivational Morphology

KW - Latin

KW - Derivational Morphology

KW - Latin

UR - http://hdl.handle.net/10807/102780

U2 - http://dx.doi.org/10.1145/3078081.3078092

DO - http://dx.doi.org/10.1145/3078081.3078092

M3 - Chapter

SN - 978-1-4503-5265-9

SP - 103

EP - 108

BT - Proceedings of the Second International Conference on Digital Access to Textual Cultural Heritage (DATeCH 2017). Göttingen, June 1-2, 2017

A2 - Antonacopoulos, Apostolos

A2 - Büchler, Marco

ER -

Litta Modignani Picozzi EMG , Passarotti MC, Ruffolo P. Node Formation. Using Networks to Inspect Productivity in Affixal Derivation in Classical Latin. In Antonacopoulos A, Büchler M, editors, Proceedings of the Second International Conference on Digital Access to Textual Cultural Heritage (DATeCH 2017). Göttingen, June 1-2, 2017. 2017. p. 103-108 https://doi.org/10.1145/3078081.3078092

Node Formation. Using Networks to Inspect Productivity in Affixal Derivation in Classical Latin

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Keywords

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