| Literature DB >> 30584650 |
Fredrik Heinat1, Eva Klingvall2.
Abstract
This paper presents the results from two studies on anaphoric reference to quantifying expressions (QEs) in Swedish, contributing to the current cross-linguistic discussion on this issue. For English it has been shown that the polarity of the QE (positive vs negative) determines the anaphoric set reference (to the referens set, REFSET, or to the complement set, COMPSET), while for Spanish it has been claimed that while REFSET interpretation is the default, the relative sizes of the two sets (REFSET and COMPSET) also matters. In Experiment 1, a semantic plausibility study. The results showed that for positive QEs, anaphoric reference can only be to the REFSET, while for negative QEs, it can only be to the COMPSET. Unlike in English and Spanish, REFSET continuations were categorically ruled out for negative QEs. To investigate whether the internal differences between QEs could be explained in terms of set size, we conducted Experiment 2, an estimation task. The results from this experiment showed that the size of the REFSET relative to the COMPSET was not a determining factor.Entities:
Keywords: Plausibility; Quantifier size; Semantics; Set focus
Mesh:
Year: 2019 PMID: 30584650 PMCID: PMC6513897 DOI: 10.1007/s10936-018-9618-z
Source DB: PubMed Journal: J Psycholinguist Res ISSN: 0090-6905
Fig. 1A: researchers B: people attending the party AB: researchers attending the party A-B: researchers not attending the party B-A: non-researchers attending the party
Fig. 2Ratings of QEs
Results from Exp 1. Positive and negative QEs
| Estimate | SE | df | Pr( | ||
|---|---|---|---|---|---|
| Positive QE–ref.set (intercept) | 0.78451 | 0.01727 | 140.30000 | 45.42 | < 2e−16*** |
| Negative QE–ref.set | − 0.72662 | 0.01744 | 666.00000 | − 41.67 | < 2e−16*** |
| Positive QE–comp.set | − 0.72917 | 0.01744 | 666.00000 | − 41.81 | < 2e−16*** |
| Negative QE–comp.set | 1.33034 | 0.02466 | 666.00000 | 53.95 | < 2e−16*** |
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’
Model: Grade Polarity * Set + (1 + Polarity | Participant) + (1 + Polarity | Item)
Fig. 3Ratings of positive QEs
Results from Exp 1. Positive QEs—refset
| Estimate | SE | df | Pr( | ||
|---|---|---|---|---|---|
| 0.69350 | 0.02785 | 451.10000 | 24.906 | < 2e−16*** | |
|
| 0.10569 | 0.03600 | 684.50000 | 2.936 | 0.00344** |
|
| 0.14475 | 0.03580 | 682.30000 | 4.044 | 5.86e−05*** |
|
| 0.11471 | 0.03601 | 684.60000 | 3.186 | 0.00151** |
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’
Model: Grade Quantifier * Set + (1 | Participant) + (1 | Item)
Fig. 4Ratings of negative QEs
Results from Exp 1. Negative QEs—compset
| Estimate | SE | df | Pr( | ||
|---|---|---|---|---|---|
| 0.59434 | 0.02785 | 451.10000 | 21.344 | < 2e−16*** | |
|
| 0.13992 | 0.03580 | 682.30000 | 3.909 | 0.000102*** |
|
| − 0.01187 | 0.03601 | 684.70000 | − 0.329 | 0.741885 |
|
| 0.13136 | 0.03600 | 684.40000 | 3.649 | 0.000283*** |
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’
Model: Grade Quantifier * Set + (1 | Participant) + (1 | Item)
Results from Exp 1. Negative QEs – refset
| Estimate | SE | df | Pr( | ||
|---|---|---|---|---|---|
| 0.09101 | 0.02626 | 275.60000 | 3.465 | 0.000614*** | |
|
| − 0.02689 | 0.03369 | 357.10000 | − 0.798 | 0.425339 |
|
| − 0.06954 | 0.03382 | 357.40000 | − 2.056 | 0.040489* |
|
| − 0.03646 | 0.03395 | 358.20000 | − 1.074 | 0.283577 |
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’
Model: Grade Quantifier * Set + (1 | Participant) + (1 | Item)
Fig. 5Estimation of QEs
Results from Exp 2. Intercept nästan alla
| Estimate | SE | Pr( | ||
|---|---|---|---|---|
| 86.529 | 2.084 | 41.516 | < 2e−16*** | |
|
| − 71.287 | 2.970 | − 24.004 | < 2e−16*** |
|
| − 22.176 | 2.948 | − 7.524 | 2.03e−12*** |
|
| − 12.563 | 3.044 | − 4.127 | 5.49e−05*** |
|
| − 68.729 | 2.926 | − 23.486 | < 2e−16*** |
|
| − 67.142 | 3.018 | − 22.247 | < 2e−16*** |
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’
Results from Exp 2. Intercept några
| Estimate | SE | Pr( | ||
|---|---|---|---|---|
| 19.387 | 2.183 | 8.882 | 4.82e−16*** | |
|
| − 4.145 | 3.040 | − 1.363 | 0.174 |
|
| 67.142 | 3.018 | 22.247 | < 2e−16*** |
|
| 44.966 | 3.018 | 14.899 | < 2e−16*** |
|
| 54.580 | 3.113 | 17.536 | < 2e−16*** |
|
| − 1.587 | 2.997 | − 0.529 | 0.597 |
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’
Results from Exp 2. Intercept få
| Estimate | SE | Pr( | ||
|---|---|---|---|---|
| 15.242 | 2.116 | 7.205 | 1.31e−11*** | |
|
| 71.287 | 2.970 | 24.004 | < 2e−16*** |
|
| 49.111 | 2.970 | 16.537 | < 2e−16*** |
|
| 58.724 | 3.066 | 19.155 | < 2e−16*** |
|
| 2.558 | 2.949 | 0.867 | 0.387 |
|
| 4.145 | 3.040 | 1.363 | 0.174 |
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’
Results from Exp 2. Intercept inte alla
| Estimate | SE | Pr( | ||
|---|---|---|---|---|
| 73.967 | 2.219 | 33.336 | < 2e−16*** | |
|
| − 54.580 | 3.113 | − 17.536 | < 2e−16*** |
|
| − 58.724 | 3.066 | − 19.155 | < 2e−16*** |
|
| 12.563 | 3.044 | 4.127 | 5.49e−05*** |
|
| − 9.614 | 3.044 | − 3.158 | 0.00185** |
|
| − 56.167 | 3.024 | − 18.575 | < 2e−16*** |
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’
| (1) |
| (2) | One of the two girls missed the bus and she was sorry |
| (3) | Some researchers went to the party |
| (4) | Some researcher went to the party and they were happy to be there |
| (5) | Few researcher went to the party and they were sad to have missed out |
| (6) | a. | Few researcher went to the party and they were happy to be there |
| b. | # Some researcher went to the party and they were sad to have missed it |
| (7) | a. | Not many researchers go to parties anymore |
| b. | Some researchers go to parties (*anymore) |
| (8) | a. | Some researchers went to the party early |
| b. | Not many researchers went to the party |
| (9) | A few/Few many MPs went to the meeting. They ... |
| (10) | a. | |
| b. | ||
| c. | ||
| d. |
| (11) | Det var 100 studenter i den stora föreläsningslokalen. QE av dem hade varit där förut |
| Hur många studenter hade varit där förut? (svara med siffror) | |
| ( | |