The paper presents the strategy and results of mapping adjective synsets between plWordNet (the wordnet of Polish, cf. Piasecki et al. 2009, Maziarz et al. 2013) and Princeton WordNet (cf. Fellbaum 1998. The main challenge of this enterprise has been very different synset relation structures in the two networks: horizontal, dumbbell-model based in PWN and vertical, hyponymy-based in plWN.Moreover, the two wordnets display differences in the grouping of adjectives into semantic domains and in the size of the adjective category. The handle the above contrasts, a series of automatic prompt algorithms and a manual mapping procedure relying on corresponding synset and lexical unit relations as well as on inter-lingual relations between noun synsets were proposed in the pilot stage of mapping (Rudnicka et al. 2015). In the paper we discuss the final results of the mapping process as well as explain example mapping choices. Suggestions for further development of mapping are also given.

This paper is a contribution to a long-standing discussion related to the domain of aspectual interpretation. More precisely, it focuses on the impact of the degree of specificity and morphological complexity on the time course of processing of perfective (prefixed perfective and semelfactive perfective) and imperfective (simple imperfective and iterative imperfective) verbs in Polish. In two experiments, eye-tracking during reading and self-paced reading, we tested a hypothesis based on Frisson & Pickering (1999), Pickering & Frisson (2001) and Frisson (2009) that the interpretation of semantically underspecified verbs should be delayed to the end of a sentence. As predicted, in both of the reported experiments significantly longer reading measures were observed for aspectually underspecified simple imperfective verbs as compared to aspectually more specific perfective verbs in the sentence-final region. Our second major prediction was that morphological complexity of aspectual forms should cause computational cost directly on the verbal region. As predicted, significantly longer reading times were observed on morphologically complex (prefixed) perfective verbs and (suffixed) semelfactive perfective verbs as compared to their morphologically simple imperfective counterparts in the eye-tracking experiment. This effect was not confirmed in the self-paced reading experiment. This difference between the results obtained in the two reported experiments is attributed to the differences between the methods used.

The article is a contribution to a long-standing discussion on how idioms are represented and accessed in the mental lexicon. More specifically, in a timed cloze response study we investigate high and low syntactic flexibility idioms in Polish in order to find out whether the degree of syntactic flexibility influences the ease and time of idioms’ recognition. By doing so we contribute to the question of whether idioms are differently represented in the lexicon depending on their syntactic flexibility, as suggested by Nunberg et al. 1994 and Gibbs and Nayak 1989, or whether all idioms independent of their syntactic flexibility are represented lexically in the same hybrid way, as suggested by Cutting and Bock 1997 and Sprenger et al. 2006. The results of our study support the latter view.

The paper presents the methodology and results of the first, pilot stage of the extension of Princeton WordNet, a huge electronic English language thesaurus and lexico-semantic network based on synsets, ie. sets of synonymous lexical units, or lemma sense pairs. The necessity for such extension arose in the course of mapping plWordNet (Polish WordNet -Słowosieć) onto Princeton WordNet, which produced a large number of inter-lingual hyponymy links signalling differences in the structure and lexical coverage of the two networks. The proposed strategy uses I-hyponymy links as pointers to presumed gaps in the lexical coverage of PrincetonWordNet and offers strategies of filling them in with new lexical units and synsets.