The Semantics of Relative Position

Zwarts, Joost

doi:10.3765/salt.v5i0.2710

Cited by 43 publications

(57 citation statements)

References 7 publications

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“…He established that NPIs can only occur in downward-entailing contexts, building on an idea from Fauconnier (1975). Seeing the failure of the Standard DE theory to subsume all possible licensing contexts, Giannakidou (1997), building on Zwarts (1995), proposes an approach in which non-veridicality is the basic property of NPI licensers. However, although her analysis elaborates on some unresolved issues (e.g.…”

Section: Licensers and The Licensing Propertymentioning

confidence: 99%

Spotting, collecting and documenting negative polarity items

Soehn¹,

Trawiński

Lichte

2010

Nat Lang Linguist Theory

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As the nature of negative polarity items (NPIs) and their licensing contexts is still under much debate, a broad empirical basis is an important cornerstone to support further insights in this area of research. The work discussed in this paper is intended as a contribution to realizing this objective. We briefly introduce the phenomenon of NPIs and outline major theories about their licensing and also various licensing contexts before discussing our major topics: Firstly, a corpus-based retrieval method for NPI candidates is described that ranks the candidates according to their distributional dependence on the licensing contexts. Our method extracts single-word candidates and is extended to also capture multi-word candidates. The basic idea for automatically collecting NPI candidates from a large corpus is that an NPI behaves like a kind of collocate to its licensing contexts. Manual inspection and Interpretation of the candidate lists identify the actual NPIs. Secondly, an online repository for NPIs and other items that show distributional idiosyncrasies is presented, which offers an empirical database for further (theoretical) research on these items in a sustainable way.

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Section: Licensers and The Licensing Propertymentioning

confidence: 99%

Spotting, collecting and documenting negative polarity items

Soehn¹,

Trawiński

Lichte

2010

Nat Lang Linguist Theory

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“…Zwarts (1995) and Giannakidou (1998Giannakidou ( , 1999 have argued that a class of weak polarity items is licensed in such contexts, such as modern Greek indefinite pronouns of the kanenas series. Since then, more items with similar distributions have been discovered (Oosterhof 2004, Hoeksema 2010.…”

Section: Anaphoric Referencementioning

confidence: 99%

Literal and nonliteral meaning in placename idioms

Hoeksema¹,

Sailer

2012

Yearbook of Phraseology

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: This paper discusses idioms of the form be/come from X-place , where X-place is a placename which contains an adjectival or verbal root. Using a corpus of examples from the Internet, the constructional properties of placename idioms and aspects of their distribution are considered. The examples are taken from German, Dutch and English. After a general introduction of placename idioms, we focus on the subtype represented by German aus Dummsdorf kommen ('be from Stupid-village ᾽ ). The following aspects of the expression will be discussed: the set of verbs involved, their syntactic flexibility, their interpretation, their status as individual-level (rather than stage-level) predicates, and the fact that they appear in nonveridical contexts, primarily negative sentences, questions, and modal/subjunctive contexts, making them a special type of negative polarity item.

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“…Giannakidou 1998: 106] Besides the common sentential negation operator, another operator that can be considered anti-veridical is sem (and its equivalents in other languages, like English without). Accordingly, such operator licenses n-phrases (that is, it gives rise to negative concord), as shown by the following data 4 : (39) As shown by Zwarts (1995) and Giannakidou (1997), in some languages the anti-veridical version of operators like temporal before license n-phrases and other items that are sensitive to anti-veridicality. French and Spanish examples are:…”

Section: Intra-sentential Anti-veridical Licensingmentioning

confidence: 99%