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Distribution and function of embedded V–Neg in Norwegian: A corpus study

Published online by Cambridge University Press:  15 October 2019

Tina Louise Ringstad*
Affiliation:
Department of Language and Literature, NTNU Norwegian University of Science and Technology, NO-7491 Trondheim, Norway
*
Email for correspondence: tina.ringstad@ntnu.no

Abstract

Mainland Scandinavian displays a main clause phenomenon (MCP), where some embedded clauses allow the word order V(erb)–Neg(ation), in addition to the canonical Neg–V. Much has been written on the licensing conditions for embedded V–Neg, but formulating the exact conditions has proven difficult. This may be due to the fact that research has typically focussed on selected sets of clauses allowing this phenomenon and much of it has been based on the authors’ grammaticality judgements. Drawing conclusions about the licensing conditions for embedded V–Neg requires examining all types of environments that allow it in natural speech as well as the types of environments that disallow it. Therefore, the primary goal of this paper is to map out the full distribution of embedded V–Neg. This paper examines embedded V–Neg collected from five corpora of spontaneous Norwegian speech. The data provide information on the relative frequency of V–Neg in various constructions and identify hitherto unattested contexts for this word order. The paper shows that V–Neg is productive in adjunct clauses, a fact difficult to accommodate under accounts claiming it is licensed under selection of specific predicates. The data support a more discourse-oriented approach to embedded V–Neg.

Information

Type
Research Article
Copyright
© Nordic Association of Linguistics 2019 
Figure 0

Table 1. Verb classes according to assertive and factive status (Wiklund et al. 2009:1917, based on Hooper & Thompson 1973).

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Table 2. Overview of corpora used in this paper.

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Table 3. Number of clauses relevant for this paper (in parentheses), with the percentage given for the proportion of each word order for all relevant clauses.

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Table 4. Overview of relevant corpora numbers. Token numbers in parentheses.

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Table 5. Numbers for contexts where V–Neg is claimed to be ungrammatical. These numbers are drawn from the ScanDiaSyn, BigBrother and NoTa corpora. The question mark indicates an occurrence highly likely to be a restart.

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Table 6. Word order as a factor of clause type and/or function.

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Table 7. The most frequent matrix predicates embedding complement clauses with both word orders and the most frequent matrix predicates only embedding one of the word orders classified according to semantic function, loosely following Levin’s (1993) verb classes and classified according to pragmatic function following Hooper & Thompson’s (1973) verb classes. Numbers given in parentheses show occurrences of complement degree clauses (‘so X that’-clauses).

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Table 8. Overview of the copula constructions embedding the word orders Neg–V and V–Neg.

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Table 9. Occurrences of V–Neg and Neg–V in adjunct clauses in percentages (token numbers in parentheses).

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Table 10. Occurrences of word order combinations as a function of verb type in percentages (token numbers in parentheses).

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Table A1. Search strings used for search in corpora. In all searches the maximum number of elements between the search elements was 1.

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Table A2. Geographical production by the dialectal areas. Occurrences of word order combinations in percentages (token numbers in parentheses).

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Table A3. All matrix predicates embedding a complement clause. Number of consequence of degree clauses in parentheses, i.e. ‘N of clauses (N of consequence clauses)’.