Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 216

The DOI matches its Crossref record.

Cross-linguistic variations in L2 morphological awareness

KODA, KEIKO·2000·Applied Psycholinguistics

Abstract

This study investigated the effects of L1 processing experience on L2 morphological awareness. Preliminary cross-linguistic comparisons indicated that morphological awareness in two typologically distinct languages, Chinese and English, differs in several major ways. Based on the comparisons, three specific hypotheses were formulated: compared with learners with a typologically similar L1 background, Chinese learners of English as an L2 would be less sensitive to intraword structural salience, less efficient in structural analysis, and more adept at integrating word-internal (morphological) and word-external (context) information. These hypotheses were tested empirically with two groups of adult L2 learners of English with contrasting L1 backgrounds (Chinese and Korean). The data demonstrated that virtually no difference existed between the two ESL groups in their intraword structural sensitivity, and that, although Chinese learners were notably slower than Korean learners in performing intraword structural analysis, they were far more efficient in integrating morphological and contextual information during sentence processing. Viewed collectively, these findings seem to suggest that L1 processing experience influences the development of L2 morphological awareness in specific and predictable ways.

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/s0142716400003015

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.

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

Metadata

Authors
KODA, K.
Venue
Applied Psycholinguistics
Published
2000-09
Volume
21
Issue
3
Pages
297-320
ISSN
  • 0142-7164 (ISSN-L)
  • 1469-1817
OpenAlex
W2134725397
Cited by
216
References
0
FWCI
3.46
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: Cross-linguistic variations in L2 morphological awareness. https://app.cochat.ai/papers/10.1017/s0142716400003015
The paper
KODA, K. (2000). Cross-linguistic variations in L2 morphological awareness. Applied Psycholinguistics. https://doi.org/10.1017/s0142716400003015

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.