This work introduces SYMPAThy, a data representation model in which the combinatorial properties of a lexical item are described by merging surface and deeper linguistic information. The proposed approach is then evaluated by comparing, for a sample list of verbal idioms, a set of SYMPAThy-based fixedness indexes against the relevant speaker-elicited indexes available in the descriptive norms collected by Tabossi et al. (2011).
Alessandro Lenci, Gianluca Lebani, Marco S. G. Senaldi, Sara Castagnoli, Francesca Masini, Malvina Nissim (2015). Mapping the Constructicon with SYMPAThy: Italian Word Combinations between fixedness and productivity. Aachen : CEUR Workshop Proceedings (CEUR-WS.org).
Mapping the Constructicon with SYMPAThy: Italian Word Combinations between fixedness and productivity
CASTAGNOLI, SARA;MASINI, FRANCESCA;NISSIM, MALVINA
2015
Abstract
This work introduces SYMPAThy, a data representation model in which the combinatorial properties of a lexical item are described by merging surface and deeper linguistic information. The proposed approach is then evaluated by comparing, for a sample list of verbal idioms, a set of SYMPAThy-based fixedness indexes against the relevant speaker-elicited indexes available in the descriptive norms collected by Tabossi et al. (2011).I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
