Sara Castagnoli

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This work introduces SYMPAThy, a data representation model in which the com-binatorial 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(More)
An established method for MWE extraction is the combined use of previously identified POS-patterns and association measures. However, the selection of such POS-patterns is rarely debated. Focusing on Ital-ian MWEs containing at least one adjective , we set out to explore how candidate POS-patterns listed in relevant literature and lexicographic sources(More)
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