2012
DOI: 10.1007/s11185-011-9083-x
|View full text |Cite
|
Sign up to set email alerts
|

Morphosyntactic variation and syntactic constructions in Czech nominal declension: corpus frequency and native-speaker judgments

Abstract: Data from the Czech National Corpus and a large-scale survey of acceptability judgments are used to investigate the scope of morphosyntactic variation in two cases (genitive singular and locative singular) of a Czech declension pattern. The syntactic construction in which a form is found is shown to have a significant interaction with its frequency in the corpus and with its acceptability rating. We conclude that the pattern of acceptability preferences lends support to the entrenchment hypothesis and in gener… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
7
0

Year Published

2015
2015
2023
2023

Publication Types

Select...
4
2

Relationship

2
4

Authors

Journals

citations
Cited by 15 publications
(9 citation statements)
references
References 14 publications
1
7
0
Order By: Relevance
“…A skewed ratio of forms (say, 99:1) is treated differently than a more balanced ratio of forms (say, 5:1 or 3:1), and this operates regardless of which specific variant is in question. These findings are entirely in line with our previous investigations (Bermel & Knittl 2012a, 2012b, Bermel, Knittl & Russell 2015, 2017.…”
Section: Explaining Variations In Ratingssupporting
confidence: 93%
See 2 more Smart Citations
“…A skewed ratio of forms (say, 99:1) is treated differently than a more balanced ratio of forms (say, 5:1 or 3:1), and this operates regardless of which specific variant is in question. These findings are entirely in line with our previous investigations (Bermel & Knittl 2012a, 2012b, Bermel, Knittl & Russell 2015, 2017.…”
Section: Explaining Variations In Ratingssupporting
confidence: 93%
“…In common with other Slavic languages, Czech is highly inflected, and thanks to a series of far-reaching phonological changes over the last millennium, the conditions for deploying its broad assortment of inflectional material are not always clear (see Bermel and Knittl 2012b: 9395) for a fuller discussion).4 Consequently, while we are able to describe clearly for some syntactic slots what exponent is used there, for others there is considerable variation. Exponents may be described using a list-type approach ("the following lexemes use exponent A; others use exponent B") or using a collection of rules of thumb ("borrowings, multisyllabic stems and labial consonant stems prefer exponent C; others prefer exponent D").…”
Section: Corpus Datamentioning
confidence: 85%
See 1 more Smart Citation
“…Sequences of linguistic units that are of high frequency or resemble sequences of high frequency will be judged more acceptable than those that are of low frequency or do not resemble frequently used structures” (Bybee & Eddington, : 349). A number of studies in both the generative and usage‐based traditions have, however, confirmed the existence of a grammaticality‐frequency discrepancy, if not a gap (Kempen & Harbusch, , ), for acceptability ratings: Corpus frequencies are poor predictors for off‐line acceptability ratings, in particular at the lower end of the frequency spectrum, in morphology and syntax (Keller, ; Kempen & Harbusch, , ; Arppe & Järvikivi, ; Divjak, ; Bader & Häussler, ; Bermel & Knittl, ,b; but see the opposite tendency in the results of Lapata, McDonald, & Keller, , for adjective‐noun combinations). This has strengthened generativists in their belief that “simple frequency data” could and should be ignored in theoretical linguistic analyses.…”
Section: Introductionmentioning
confidence: 99%
“…From previous research (Bermel & Knittl 2012a, 2012b we identified p r o p o r t i o n a l f r e q u e n c y -the percentage of time one variant occurs vis-à-vis other variants -as a type of frequency that has an effect on judgements. However, traditionally frequency is looked at in terms of absolute numbers (albeit often standardized to a corpus size of one million tokens, see e.g.…”
Section: Describing Morphological Variationmentioning
confidence: 99%