Finally, feature set theor (for theoretical) generalizes and adds to the theoretical properties used in the first experiment (Table 3 in Section 4.2). Upon inspection of the clustering solutions (not reported here for space reasons), some further potentially relevant distributional pieces of information cropped up that were included in the theor features of the present experiment. The new features, summarized in Table 9, cover several aspects of the noun phrases (NPs) in which adjectives occur: The type of determiner of the NP, agreement properties (as these can correlate with semantic properties), the syntactic function of the head noun, and the presence of a potential adjective complement. The latter are usually headed by prepositions (El Joan està gelós d’en Pere, ‘Joan is jealous of Pere’). Finally, feature distance to the head is a reformulation of feature adjacent from Section 4.2. It encodes the mean distance of the adjective to the head, in number of words, as this is a more general definition that alleviates data sparseness.

Table 9 

New or revised features in feature set theor. Each row lists the property we aim to capture and the features through which the property is encoded. The information relies on the information in the corpus, which does not include full syntactic structure.

Property
Features
type of determiner NP headed by definite/indefinite/no determiner 
agreement properties gender and number of the NP 
syntactic function of head noun subject, object, complement to a preposition 
complement-bearing adjective followed by a preposition 
distance to the head linear distance (number of words) 
Property
Features
type of determiner NP headed by definite/indefinite/no determiner 
agreement properties gender and number of the NP 
syntactic function of head noun subject, object, complement to a preposition 
complement-bearing adjective followed by a preposition 
distance to the head linear distance (number of words) 

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