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Negation raising and mood. A corpus-based study of Polish sądzić ‘think’ and wierzyć ‘believe’
(2021)
The paper describes the distribution of two negation raising predicates in Polish: sądzić ‛think’ and wierzyć ‛believe’ in the National Corpus of Polish with a particular focus on their morphosyntax and the mood of their clausal complements. The aim was to examine whether there are any correlations between these two parameters, and to what extent negation raising with those verbs exhibits performative features (in terms of Prince, 1976). The results of the study support the performative approach to negation raising as per Prince (1976) only for cases with subjunctive complements. The corpus findings further imply that Polish negation raising predicates encode two different degrees of (un)certainty concerning the truth of the embedded proposition depending on the mood of their complements. Structures with indicative complements express weaker uncertainty than structures with subjunctive complements.
This paper analyses the variation we find in the realization of finite clausal complements in the position of prepositional objects in a set of Germanic languages. The Germanic languages differ with respect to whether prepositions can directly select a clause (North Germanic) or not and instead need a prepositional proform (Continental West Germanic). Within the Continental West Germanic languages, we find further differences with respect to the constituent structures. We propose that German strong vs. weak prepositional proforms (e.g. drauf vs. darauf) differ with respect to their syntax, while this is not the case for the Dutch forms (ervan vs. daarvan). What the Germanic languages under consideration share is that the prepositional element can be covert, except in English. English shows only limited evidence for the presence of P with finite clauses in the position of prepositional objects generally, but only with a selected set of verbs. This investigation is a first step towards a broader study of the nature of clauses in prepositional object positions and the implications for the syntax of clausal complementation.
Complement phrases are essential for constructing well-formed sentences in German. Identifying verb complements and categorizing complement classes is challenging even for linguists who are specialized in the field of verb valency. Against this background, we introduce an ML-based algorithm which is able to identify and classify complement phrases of any German verb in any written sentence context. We use a large training set consisting of example sentences from a valency dictionary, enriched with POS tagging, and the ML-based technique of Conditional Random Fields (CRF) to generate the classification models.