Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 355

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

Preservation and minimality in loanword adaptation

PARADIS, CAROLE, LACHARITÉ, DARLENE·1997·Journal of Linguistics

Abstract

Attractive as might seem the challenge to build a process or performance model that can account for every behavioural decision, there are a number of sound reasons to tackle first the still difficult (but hopefully manageable) task of developing a competence model; of trying to find the underlying system that informs and constrains (if it doesn't always actually govern) choice. (Spolsky 1988: 105) This article aims at showing the predictability of phonological adaptation, segment preservation and deletion in borrowings. It is shown that ill-formed segments are preserved and adapted in the vast majority of cases; segment deletion occurs only when an ill-formed segment is embedded within a higher level ill-formed structure, such as the syllable. This conclusion is based on the study of 15,686 segmental and syllabic malformations found in 11,348 loanword forms from five different corpora of loanwords. The analysis, which is set within the Theory of Constraints and Repair Strategies, is illustrated with the data from a corpus of 545 French loanwords in Fula.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1017/s0022226797006786

Cites

30 of 30 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cites

Show all 30 references

Cited by

Metadata

Authors
PARADIS, C., & LACHARITÉ, D.
Venue
Journal of Linguistics
Published
1997-09
Volume
33
Issue
2
Pages
379-430
ISSN
  • 0022-2267 (ISSN-L)
  • 1469-7742
OpenAlex
W2136542774
Cited by
355
References
30
FWCI
6.78
Type
journal article
Language
en
Open access
closed

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: Preservation and minimality in loanword adaptation. https://app.cochat.ai/papers/10.1017/s0022226797006786
The paper
PARADIS, C., & LACHARITÉ, D. (1997). Preservation and minimality in loanword adaptation. Journal of Linguistics. https://doi.org/10.1017/s0022226797006786

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.