The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
What lexical information do L2 learners select in a CALL dictionary and how does it affect word retention?
Open accessAbstract
The study investigates a relationship between what is looked up about new words when different kinds of information are available and how well these words are remembered.The dictionary information has been incorporated into a CALL programme which was comprised of a text, highlighted low-frequency words, and access to different lexical information about these words (explanation in English, translation into L1, sound, root, and "extra" information).The subjects were English as a Foreign Language (EFL) university learners in Hong Kong and Israel.The target words examined for incidental learning were 12 low frequency words.Pre-tests showed that they were unfamiliar to most subjects.The subjects were asked to read the text on the screen and understand it so that they could take a comprehension test after reading it.Unknown words could be looked up in the CALL dictionary built into the programme.During the task, log files registered every selection of dictionary information.After task completion, subjects were unexpectedly tested on meaning recall of the target words.Recall data were analysed (ANOVAs, repeated measures, and correlations) to establish possible connections between retention and lookup behaviour (type of information selected, and number of lookups for each word).Results suggest that different people have different lookup preferences and that the use of multiple dictionary information seems to reinforce retention.The teaching implication is, therefore, to provide a variety of lookup options catering to different lookup preferences in paper or CALL dictionaries when assigning tasks that involve reading comprehension and understanding of unfamiliar words. BACKGROUNDAttention to the form of input has occupied much of recent SLA research (e.g., Fotos, 1993;Robinson, 1995;Schmidt, 1990Schmidt, , 1993) ) .There is growing research evidence that L2 learning, particularly adult L2 learning, is impossible without attention to input in the sense of "noticing" it.Though attended learning is discussed in literature in relation to syntax, incidental vocabulary learning is no exception to the attention requirement.This may sound paradoxical at first, since incidental learning is sometimes mistakenly assumed to be unattended learning.This is not the position taken in this paper.Incidental vocabulary is learnt as a by-product of another activity, such as reading or communication, without the learner's conscious decision, or intention, to learn the words.For example, during a reading activity, words are looked up in a dictionary in order to understand the text and to perform a comprehension task.Subsequently, some of these words are remembered even though the main task was not a vocabulary task, nor was it the reader's intention to learn the words in the text.Learning was thus incidental, that is, unintentional and as a by-product of another activity.However, it was not unattended.It is indeed highly debatable whether words which are not noticed in the input can be learnt.
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
Cites
Levels of processing: A framework for memory research
Craik, F. I. M., & Lockhart, R. S. (1972) · Journal of Verbal Learning and Verbal Behavior · doi:10.1016/s0022-5371(72)80001-x · Cited by 9,566
The Role of Consciousness in Second Language Learning1
SCHMIDT, R. W. (1990) · Applied Linguistics · doi:10.1093/applin/11.2.129 · Cited by 5,435 · cited 1×
“Attention to the form of input has occupied much of recent SLA research (e.g., Fotos, 1993; Robinson, 1995; Schmidt, 1990, 1993) .”
BackgroundTeaching and learning vocabulary
Nation, P. (1994) · System · doi:10.1016/0346-251x(94)90065-5 · Cited by 1,733
Mayer, R. E., & Sims, V. K. (1994) · Journal of Educational Psychology · doi:10.1037/0022-0663.86.3.389 · Cited by 1,191
Awareness and Second Language Acquisition
Schmidt, R. (1992) · Annual Review of Applied Linguistics · doi:10.1017/s0267190500002476 · Cited by 825
HULSTIJN, J. H., HOLLANDER, M., & GREIDANUS, T. (1996) · The Modern Language Journal · doi:10.1111/j.1540-4781.1996.tb01614.x · Cited by 760
Effects of Multimedia Annotations on Vocabulary Acquisition
CHUN, D. M., & PLASS, J. L. (1996) · The Modern Language Journal · doi:10.1111/j.1540-4781.1996.tb01159.x · Cited by 759
Attention, Memory, and the “Noticing” Hypothesis
Robinson, P. (1995) · Language Learning · doi:10.1111/j.1467-1770.1995.tb00441.x · Cited by 745
KNIGHT, S. (1994) · The Modern Language Journal · doi:10.1111/j.1540-4781.1994.tb02043.x · Cited by 524
Plass, J. L., Chun, D. M., Mayer, R. E., & Leutner, D. (1998) · Journal of Educational Psychology · doi:10.1037//0022-0663.90.1.25 · Cited by 519
Cited by
Technologies for foreign language learning: a review of technology types and their effectiveness
Golonka, E. M., Bowles, A. R., Frank, V. M., Richardson, D. L., & Freynik, S. (2014) · Computer Assisted Language Learning · doi:10.1080/09588221.2012.700315 · Cited by 1,144
Incidental and Intentional Learning
Hulstijn, J. H. (2003) · The Handbook of Second Language Acquisition · doi:10.1002/9780470756492.ch12 · Cited by 532
The effect of interactivity with a music video game on second language vocabulary recall
deHaan, J., Reed, W. M., & Kuwanda, K. (2010) · Language Learning & Technology · doi:10.64152/10125/44215 · Cited by 266
Vocabulary learning through viewing video: the effect of two enhancement techniques
Montero Perez, M., Peters, E., & Desmet, P. (2018) · Computer Assisted Language Learning · doi:10.1080/09588221.2017.1375960 · Cited by 230
Principles guiding vocabulary learning through extensive reading
Nation, P. (2020) · doi:10.26686/wgtn.12543404.v1 · Cited by 144
Metadata
- Authors
- Laufer, B., & Hill, M.
- Venue
- Language Learning & Technology
- Published
- 2000-01-01
- Volume
- 3
- Issue
- 2
- Pages
- 58-76
- ISSN
- 1094-3501 (ISSN-L)
- OpenAlex
- W1506047034
- Cited by
- 314
- References
- 27
- FWCI
- 11.06
- Type
- journal article
- Language
- en
- Open access
- diamond
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: What lexical information do L2 learners select in a CALL dictionary and how does it affect word retention? https://app.cochat.ai/papers/10.64152/10125/25073
- The paper
- Laufer, B., & Hill, M. (2000). What lexical information do L2 learners select in a CALL dictionary and how does it affect word retention? Language Learning & Technology. https://doi.org/10.64152/10125/25073
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.