The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Magnitude Estimation of Linguistic Acceptability
Abstract
Judgments of linguistic acceptability constitute an important source of evidence for theoretical and applied linguistics, but are typically elicited and represented in ways which limit their utility. This paper describes how MAGNITUDE ESTIMATION, a technique used in psychophysics, can be adapted for eliciting acceptability judgments. Magnitude estimation of linguistic acceptability is shown to solve the measurement scale problems which plague conventional techniques; to provide data which make fine distinctions robustly enough to yield statistically significant results of linguistic interest; to be usable in a consistent way by linguistically naive speaker-hearers, and to allow replication across groups of subjects. Methodological pitfalls are discussed and suggestions are offered for new approaches to the analysis and measurement of linguistic acceptability.
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Cited by
Gatt, A., & Krahmer, E. (2018) · Journal of Artificial Intelligence Research · doi:10.1613/jair.5477 · Cited by 776
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Cross-Linguistic Variation and Efficiency
Hawkins, J. A. (2014) · doi:10.1093/acprof:oso/9780199664993.001.0001 · Cited by 405
The Effects of Task Repetition on Linguistic Output
Gass, S., Mackey, A., Alvarez‐Torres, M. J., & Fernández‐García, M. (1999) · Language Learning · doi:10.1111/0023-8333.00102 · Cited by 291
Best practices for the human evaluation of automatically generated text
van der Lee, C., Gatt, A., van Miltenburg, E., Wubben, S., & Krahmer, E. (2019) · Proceedings of the 12th International Conference on Natural Language Generation · doi:10.18653/v1/w19-8643 · Cited by 205
Metadata
- Authors
- Bard, E. G., Robertson, D., & Sorace, A.
- Venue
- Language
- Publisher
- JSTOR
- Published
- 1996-03
- Volume
- 72
- Issue
- 1
- Pages
- 32
- ISSN
- 0097-8507 (ISSN-L)
- OpenAlex
- W1991158387
- Cited by
- 721
- References
- 38
- FWCI
- 38.02
- Type
- journal article
- Language
- en
- Open access
- closed
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