The DOI matches its Crossref record.
Verb Argument Structure in Parsing and Interpretation: Evidence from wh-Questions
Open accessAbstract
The hypothesis that readers use verb argument structure information to generate and evaluate likely syntactic alternatives and assign provisional interpretations was evaluated using wh-questions. such as Which client did the salesman visit while in the city? Using a word by word, self-paced reading task with a "makes sense" judgment, we manipulated the plausibility of the wh-phrase with respect to the semantic role that it would play if it were the direct object. We also manipulated the preferred argument structure of the verb, using (1) transitive verbs that typically occur with only a direct object; (2) objective control verbs that typically are used with both a direct object and an infinitive complement; and (3) dative verbs that are typically used with both a direct object and an indirect object. The results showed clear and immediate effects of argument structure. Sentences with implausible wh-phrases were judged to stop making sense at the verb for simple transitive verbs. However, sentences with object control verbs and dative verbs were judged to make sense as long as the wh-phrase could be plausibly interpreted as one of the verb′s arguments. Thus, the bias to initially interpret a wh-phrase as the direct object of a verb was blocked when the filler was implausible in the direct object role if the verb provided another argument position. In addition, interpretation of the wh-phrase began at the verb, prior to the gap, even when the syntactic position of the gap was ambiguous. The results are taken as support for constraint-based lexicalist models of processing.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
The P600 as an index of syntactic integration difficulty
Kaan, E., Harris, A., Gibson, E., & Holcomb, P. (2000) · Language and Cognitive Processes · doi:10.1080/016909600386084 · Cited by 993
Predicting while comprehending language: A theory and review.
Pickering, M. J., & Gambi, C. (2018) · Psychological Bulletin · doi:10.1037/bul0000158 · Cited by 518
Caplan, D., Stanczak, L., & Waters, G. (2008) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2008.20044 · Cited by 82
Metadata
- Authors
- Boland, J. E., Tanenhaus, M. K., Garnsey, S. M., & Carlson, G. N.
- Venue
- Journal of Memory and Language
- Publisher
- Elsevier BV
- Published
- 1995-12
- Volume
- 34
- Issue
- 6
- Pages
- 774-806
- ISSN
- 0749-596X (ISSN-L)
- OpenAlex
- W1972602403
- Cited by
- 261
- References
- 0
- FWCI
- 4.15
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Verb Argument Structure in Parsing and Interpretation: Evidence from wh-Questions. https://app.cochat.ai/papers/10.1006/jmla.1995.1034
- The paper
- Boland, J. E., Tanenhaus, M. K., Garnsey, S. M., & Carlson, G. N. (1995). Verb Argument Structure in Parsing and Interpretation: Evidence from wh-Questions. Journal of Memory and Language. https://doi.org/10.1006/jmla.1995.1034
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.