This paper presents a Lexicon-Grammar based method for automatic extraction of spatial relations from Italian non-structured data. We used the software Nooj to build sophisticated local grammars and electronic dictionaries associated with the lexicon-grammar classes of the Italian intransitive spatial verbs (i.e. 234 verbal entries) and we applied them to the Italian text Il Codice da Vinci ('The Da Vinci Code', by Dan Brown) in order to parse the spatial predicate-arguments structures. In addition, Nooj allowed us to automatically annotate (in XML format) the words (or the sequence of words) that in each sentence (S) of the text play the 'spatial roles' of Figure (F), Motion (M) and Ground (G). Finally the results of the experiment and the evaluation of this method will be discussed

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This paper uses both a Predication Theory and syntactic-semantic analysis in an examination of the Italian Verb-Adverbial Particle Constructions (referred to as V-AdvPCs) of the idiomatic type such as buttare giù una lettera “to write down a letter” and mandare avanti un’azienda “to carry on a business”. I provided here — within the Lexicon-Grammar framework (Gross M., 1981, 1996, 1998; Elia, A. 2013) and Operator-Arguments Grammar (Harris Z., 1976, 1978, 1988) — a new reading of the predicative structure of Italian idiomatic V-AdvPCs arguing that they can be split into different syntactic types on the basis of two main issues: the predicative element of the constructions (the so-called ‘operator’ in Harris’s theory) and the pattern of variation which they exhibit. The descriptive study carried out here is based on a lexicon-grammar database of 300 idiomatic V-AdvPCs with N0 V AdvPart N1 sentence structure.

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