Reciprocal expressions and the Maximal Typicality Hypothesis
What it is about
For a reciprocal such as 'each other' with three agents, the Strongest Meaning Hypothesis (SMH) predicts that listeners always take the strongest reading, where every agent acts on every other one. The authors test this in Hebrew (Experiment 1, 50 speakers, forced choice between a full situation S6 and a one-patient situation S3) with 13 verbs such as 'pinch'. For 8 of the 13 sentences more than a third of the participants chose S3, and for the verb 'pinch' 26.5% did. A control trial (S3 against S2) was chosen for S3 by almost all participants, so the forced choice itself works. They propose the Maximal Typicality Hypothesis (MTH): the core situation of a reciprocal is the maximal situation among those most typical for the verb, so 'bite' or 'pinch' select S3, while 'know' selects S6. Experiment 2 (Dutch) measures verb typicality and truth-value judgements and tests the correlation between them. I read the design and the Experiment 1 results; I did not read the Experiment 2 numbers.
Ideas
- I1. A per-verb table of patient cardinality preference (neutral, one-patient preference, strong one-patient preference) in
prag. For a reciprocal over three agents, the core situation is S3 for a one-patient verb and S6 for a neutral one, and the reading is then checked against the table. - I2. A test with a negative control, built from Table 1 and the S3-against-S2 control trial: the rule must choose S3 for the pinch-type verbs and must not treat the control as S6. A rule that always picks S6 should go red on the pinch-type verbs.
- I3. Store the acceptability of a reciprocal as a graded score per situation in
world(core = high, proper subsets lower), not as true or false. The paper argues that graded judgements are what the data show.
For Mova
I1 and I3 go into prag for English reciprocals and into the reciprocal section of 7. Syntax for the Hebrew 'ze et ze' construction. I2 is a test set for the same rule. The verb table needs its own data source; it is not taken from this paper.
Cite
@article{poortman2018reciprocal,
title = {{Reciprocal expressions and the Maximal Typicality Hypothesis}},
author = {Poortman, Eva B. and Struiksma, Marijn E. and Kerem, Nir and Friedmann, Naama and Winter, Yoad},
journal = {Glossa: a journal of general linguistics},
year = {2018},
doi = {10.5334/gjgl.180},
url = {https://doi.org/10.5334/gjgl.180}
}References
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- How to cite this article: Poortman, Eva B, Marijn E. Struiksma, Nir Kerem, Naama Friedmann and Yoad Winter. 2018. Reciprocal expressions and the Maximal Typicality Hypothesis. Glossa: a journal of general linguistics 3(1): 18. 1–30, DOI: https://doi.org/10.5334/gjgl.180 ↗ our card
- Accepted: 19 September 2017 find
- Published: 02 February 2018 find
- Copyright: © 2018 The Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/. Glossa: a journal of general linguistics is a peer-reviewed open access journal published by Ubiquity Press. OPEN ACCESS ↗
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