Article In:
Australian Review of Applied Linguistics: Online-First ArticlesChunk reading strategy training improves multiword processing by Japanese English learners
The Chunk-and-Pass model suggests that language acquisition involves learning to appropriately chunk language
input into multiword sequences and to form more abstract linguistic representations. While the theoretical model has gained
widespread attention in the language sciences, there are limited studies that adopt this model, particularly in the context of
second language (L2) learning and teaching research. This study examines the effects of Chunk Reading Strategy Training (CRST),
which was developed based on the model, on multiword processing in low-proficiency Japanese learners of English. A treatment group
received CRST, while a control group underwent standard block-format reading training. A phrasal decision test assessed online
multiword processing at pretest, posttest, and delayed posttest stages. The results indicated improvement in response times
post-intervention for the treatment group, and only in the delayed posttest for the control group. This study, therefore,
discusses the theoretical implications and limitations of CRST.
Keywords: Chunk-and-Pass model, chunk reading strategy training, construction grammar, multiword processing, second language
Article outline
- Introduction
- The Chunk-and-Pass Model
- Second language processing of multiword units and constructions
- Chunk Reading Strategy Training
- The present study
- Methods
- Participants
- Materials
- Chunk Reading Strategy Training
- Reading training in Block Format
- Measurement: Phrasal Decision Task
- Procedure
- Data cleaning and analysis
- Results
- L1 Speakers
- Short-term treatment effects
- Long-term treatment effects
- Discussion
- Educational implications and conclusion
- Acknowledgement
- Notes
- Data Availability
- Declarations
- Conflicting Interests
- Author queries
-
References
This content is being prepared for publication; it may be subject to changes.
References (58)
Abney, S. P. (1992). Parsing
by chunks. Principle-based parsing: Computation and
Psycholinguistics, 257–278.
Altmann, G. T., & Kamide, Y. (2007). The
real-time mediation of visual attention by language and world knowledge: Linking anticipatory (and other) eye movements to
linguistic processing. Journal of Memory and
Language,
57
(4), 502–518.
Arnon, I. & Snider, N. (2010). More
than words: Frequency effects for multi-word phrases. Journal of Memory and
Language
62
(1), 67–82.
Bates, C. T., & Maechler, M., Bolker, B., & Walker, S. C. (2015a). Fitting
linear mixed-effects models using lme4. Journal of Statistical
Software,
67
(1), 1–48.
Bates, D., Kliegl, R., Vasishth, S., & Baayen, H. (2015b). Parsimonious
mixed models. arXivpreprint arXiv:1506.04967. [URL]
Brehm, L., & Alday, P. M. (2022). Contrast
coding choices in a decade of mixed models. Journal of Memory and
Language,
125
1, 104334.
Brown, M., Savova, V., & Gibson, E. (2012). Syntax
encodes information structure: Evidence from on-line reading comprehension. Journal of memory
and
language,
66
(1), 194–209.
Brysbaert, M., & Debeer, D. (2023). How
to run linear mixed effects analysis for pairwise comparisons? A tutorial and a proposal for the calculation of standardized
effect sizes. PsyArXive.
Christiansen, M. H., & Chater, N. (2016). The
now-or-never bottleneck: A fundamental constraint on language. Behavioral and Brain
Sciences,
39
1. e62.
Clahsen, H., & Felser, C. (2018). Some
notes on the shallow structure hypothesis. Studies in Second Language
Acquisition.
40
(3), 693–706.
Cowan, N. (2001). The
magical number 4 in short-term memory: A reconsideration of mental storage capacity. Behavioral
and Brain
Science,
24
(1), 87–114.
Council of
Europe. (2023, October 6). Global
scale-Table 1 (CEFR 3.3): Common reference levels. Common European Framework of Reference for Languages
(CEFR).
Davies, M. (2008). The
Corpus of Contemporary American English (COCA). Available online at [URL]
Ellis, N. C. (2002). Frequency
effects in language processing: A review with implications for theories of implicit and explicit language
acquisition. Studies in second language
acquisition,
24
(2), 143–188.
Fender, M. (2003). English
word recognition and word integration skills of native Arabic-and Japanese-speaking learners of English as a second
language. Applied
Psycholinguistics,
24
(2), 289–315.
Faul, F., Erdfelder, E., Buchner, A., & Lang, A.-G. (2009). Statistical
power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behavior
Research
Methods,
41
1, 1149–1160.
Gass, S. M., & Mackey, A. (2002). Frequency
effects and second language acquisition: A complex picture?. Studies in Second Language
Acquisition,
24
(2), 249–260.
Goldberg, A. E. (1995). Constructions:
A construction grammar approach to arguments structure. The University of Chicago Press.
(2019). Explain
me this: Creativity, competition, and the partial productivity of constructions. Princeton; Oxford: Princeton University Press.
Hilpert, M. (2014). Construction
grammar and its application to English. Edinburgh University Press.
Jeong, H., & DeKeyser, R. (2023). Development
of automaticity in processing L2 collocations: The roles of L1 collocational knowledge and practice
condition. Studies in Second Language
Acquisition, 1–25.
Jin, H., Ji, L., Cheung, O. S., & Hayward, W. G. (2024). Facilitation
and interference are asymmetric in holistic face processing. Psychonomic Bulletin &
Review, 1–12.
Jolsvai, H., McCauley, S. M., & Christiansen, M. H. (2020). Meaningfulness
beats frequency in multiword chunk processing. Cognitive
Science,
44
(10), e12885.
Juffs, A., & Fang, S. (2022). A
generative approach to the instructed second language acquisition of Spanish se. Language
Learning,
72
(S1), 83–124.
Jurafsky, D. (1996). A
probabilistic model of lexical and syntactic access and disambiguation. Cognitive
Science,
20
(2), 137–194.
Kim, H., Shin, G. H., & Hwang, H. (2020). Integration
of verbal and constructional information in the second language processing of English dative
constructions. Studies in Second Language
Acquisition,
42
(4), 825–847.
Kosaka, T. (2023). The
Effects of Chunk Reading Training on the Syntactic Processing Skills and Reading Spans of Japanese Learners of
English. Reading in a Foreign
Language,
35
(2). [URL]
(2024). The
multiword processing by low-proficiency Japanese English learners: Meaningfulness and
constructions. International Journal of Applied
Linguistics,
34
(2), 672–691.
Kuhn, M. R., & Stahl, S. A. (2013). Fluency:
Developmental and Remedial Practices-Revisited. In D. A. Alvermann, N. Unrau, & R. B. Ruddell (Eds.), Theoretical
models and processes of
reading (pp. 385–411). Newark, DE: International Reading Association.
Larson-Hall, J. (2015). A
guide to doing statistics in second language research using
SPSS. Routledge.
Lee, J. C., Lovibond, P. F., Hayes, B. K., & Navarro, D. J. (2019). Negative
evidence and inductive reasoning in generalization of associative learning. Journal of
Experimental Psychology:
General,
148
(2), 289–303.
Lenth, V. R. (2023). emmeans:
Estimated marginal means, aka least-squares means. (Version
1.8.8) [Computer software]. Retrieved from [URL]
Linck, J. A., & Cunnings, I. (2015). The
utility and application of mixed-effects models in second language research. Language
Learning,
65
(S1), 185–207.
Loewen, S., & Plonsky, L. (2016). An
A–Z of applied linguistics research methods. Palgrave Macmillan.
Matuschek, H., Kliegl, R., Vasishth, S., Baayen, H., & Bates, D. (2017). Balancing
Type I error and power in linear mixed models. Journal of Memory and
Language,
94
1, 305–315.
McCauley, S. M., & Christiansen, M. H. (2017). Computational
investigations of multiword chunks in language learning. Topics in Cognitive
Science,
9
(3), 637–652.
McMaster, K. L., van den Broek, P., Espin, C. A., Pinto, V., Janda, B., Lam, E., … & van Boekel, M. (2015). Developing
a reading comprehension intervention: Translating cognitive theory to educational
practice. Contemporary Educational
Psychology,
40
1, 28–40.
Miller, G. A. (1956). The
magical number seven, plus or minus two: Some limits on our capacity for processing
information. Psychological
Review,
63
(2), 81–97. [URL].
Mitsugi, S., & MacWhinney, B. (2010). Second
language processing in Japanese scrambled sentences. Research in second language processing and
parsing,
53
(1), 159–175.
Murakami, A., & Ellis, N. C. (2022). Effects
of availability, contingency, and formulaicity on the accuracy of English grammatical morphemes in second language
writing. Language
Learning,
72
(4), 899–940.
Nagle, C. (2018). Motivation,
comprehensibility, and accentedness in L2 Spanish: Investigating motivation as a time-varying predictor of pronunciation
development. The Modern Language
Journal,
102
(1), 199–217.
Park, Y. (2018). Syntactic
enhancement: Bootstrapping for second language reading. Journal of Cognitive
Science,
18
(4), 473–509.
Park, Y., & Warschauer, M. (2016). Syntactic
enhancement and second language literacy: An experimental study. Language Learning &
Technology,
20
(3), 180–199.
Park, Y., Xu, Y., Collins, P., Farkas, G., & Warschauer, M. (2019). Scaffolding
learning of language structures with visual-syntactic text formatting. British Journal of
Educational
Technology,
50
(4), 1896–1912.
Pearlmutter, N. J., Garnsey, S. M., & Bock, K. (1999). Agreement
processes in sentence comprehension. Journal of Memory and
language,
41
(3), 427–456.
R Core Team. (2023). R: A language
and environment for statistical computing (Version 4.3.1) [Computer
software]. Vienna, Austria: R Foundation for Statistical Computing [URL]
Saito, K., Hanzawa, K., Petrova, K., Kachlicka, M., Suzukida, Y., & Tierney, A. (2022). Incidental
and multimodal high variability phonetic training: Potential, limits, and future
directions. Language
Learning,
72
(4), 1049–1091.
Stoet, G. (2010). PsyToolkit:
A software package for programming psychological experiments using Linux. Behavior research
methods,
42
(4), 1096–1104.
(2017). PsyToolkit:
A novel web-based method for running online questionnaires and reaction-time
experiments. Teaching of
Psychology,
44
(1), 24–31.
Tate, T. P., Collins, P., Xu, Y., Yau, J. C., Krishnan, J., Prado, Y., … & Warschauer, M. (2019). Visual-syntactic
text format: Improving adolescent literacy. Scientific Studies of
Reading,
23
(4), 287–304.
Tomasello, M. (2003). Constructing
a language: A usage-based theory of language acquisition. Harvard University Press.
Treffers-Daller, J., & Calude, A. (2015). The
role of statistical learning in the acquisition of motion event construal in a second
language. International Journal of Bilingual Education and
Bilingualism,
18
(5), 602–623.
Walker, S., Schloss, P., Fletcher, C. R., Vogel, C. A., & Walker, R. C. (2005). Visual-syntactic
text formatting: A new method to enhance online reading. Reading
Online,
8
(6), 1096–1232.
Wouters, P., Paas, F., & van Merriënboer, J. J. (2008). How
to optimize learning from animated models: A review of guidelines based on cognitive
load. Review of Educational
Research,
78
(3), 645–675.
Yamashita, J., & Ichikawa, S. (2010). Examining
reading fluency in a foreign language: Effects of text segmentation on L2 readers. Reading in a
Foreign
Language,
22
(2), 263–283.