Register and task variation in Learner Corpus Research (VAR4LCR), 
Louvain-la-Neuve, 7-8 July 2025

To mark the end of a Hoover Seedfund collaborative project between the Centre 
for English Corpus Linguistics at the University of Louvain (UCLouvain) and the 
Department of English at Northern Arizona University (NAU), a conference on 
Register and task variation in Learner Corpus Research will be organized in 
Louvain-la-Neuve, Belgium, on 7-8 July 2025 under the aegis of the Learner 
Corpus Association. The conference will be an on-site event only.


RATIONALE

Ample evidence has been provided to demonstrate that language varies according 
to register. Much of this evidence for register variation comes from corpora, 
which have provided insights into linguistic patterns associated with distinct 
registers (see, e.g., Biber 1988, Biber 2006, Biber & Egbert 2018).

Register variation is an important aspect of any language and language variety, 
but it is particularly relevant in the case of learner language, because L2 
learners may not show the same register awareness as native/expert 
writers/speakers (cf. Gilquin & Paquot 2008, Larsson 2019).

Learner Corpus Research (LCR) has taken register into account in the sense that 
studies have been carried out on the basis of learner corpora representing 
certain registers (e.g. essays in Ädel 2006 or interviews in Götz 2013). 
However, studies comparing learner language registers are less common. Yet, the 
LCR studies that have drawn such comparisons have highlighted the importance of 
register for learner language (e.g. Fuchs et al. 2016, Staples et al. 2018, 
Larsson et al. 2021).

Related to register is the notion of task, particularly relevant in LCR since 
learner corpora are often compiled from data produced as part of specific 
pedagogical tasks (e.g. writing a letter, describing a graph, retelling a movie 
scene). As with register, LCR studies comparing different tasks are not very 
common, but they have underlined the potential effect of this variable (e.g. 
Tracy-Ventura & Myles 2015, Alexopoulou et al. 2017, Gablasova et al. 2017, 
Goulart & Dixon 2025).


SUBMISSIONS

We welcome submissions which compare two or more registers or tasks in corpora 
of learner language, using the methods of corpus linguistics / LCR, and which 
analyse the possible effects of register/task on the linguistic features of 
learner language. The learner registers/tasks may, in addition, be compared 
against some reference corpus data such as native or expert language. Both 
quantitative and qualitative approaches are welcome, with a focus on any 
aspects of language (phraseology, grammatical complexity, fluency, etc.).

We are particularly interested in submissions that
- use data representing different registers/tasks produced by the same L2 
learners;
- compare registers/tasks displaying different degrees of formality or 
involving different degrees of communicative control;
- combine quantitative and qualitative methods of analysis;
- discuss the methodological issues related to the comparison of 
registers/tasks in learner language;
- include under-researched registers/tasks/languages.

There will be three different categories of presentation:
- full paper
- work-in-progress report
- poster


ABSTRACTS

Abstracts should be about 500 words (not including references) and specify how 
the paper will contribute to the theme of the conference, in particular by 
highlighting the registers/tasks that will be compared and the corpora that 
will be used. They should also provide a clear outline of the aim(s) of the 
paper, including clearly articulated research questions, sufficient details 
about the methodology and (preliminary) results.

Abstracts should be uploaded to OpenReview 
(https://openreview.net/group?id=VAR4LCR/2025/Conference) no later than 20 
January 2025 at 23:59 UTC. If you are new to OpenReview, you will first have to 
create a profile. We recommend that you use an institutional email address to 
do so, as profiles created without an institutional email address will go 
through a moderation process that can take up to two weeks. Please note that 
most questions asked as part of the creation of a profile are optional. 
Providing your current institution (under ‘History’) and a link to a webpage 
that displays your name and email address (under ‘Personal Links’) will be 
sufficient.


IMPORTANT DATES

- Deadline for submission of abstracts: 20 January 2025
- Notification of acceptance/rejection: 15 March 2025
- Conference: 7-8 July 2025


KEYNOTE SPEAKERS

We are pleased to announce that the following speakers have agreed to give a 
keynote presentation at the conference:

- Prof. Douglas Biber (Northern Arizona University)
- Prof. Marije Michel (University of Groningen)
- Prof. Shelley Staples (University of Arizona)


LOCAL ORGANIZING COMMITTEE

Sylvie De Cock (UCLouvain)
Gaëtanelle Gilquin (UCLouvain)
Sylviane Granger (UCLouvain)
Pauline Jadoulle (UCLouvain)
Magali Paquot (UCLouvain)
Lieven Vandelanotte (UNamur)


SCIENTIFIC COMMITTEE

Douglas Biber (NAU)
Sylvie De Cock (UCLouvain)
Jesse Egbert (NAU)
Gaëtanelle Gilquin (UCLouvain)
Sylviane Granger (UCLouvain)
Francesca Grixoni (NAU)
A.J. Holmberg (NAU)
Pauline Jadoulle (UCLouvain)
Tove Larsson (NAU)
Magali Paquot (UCLouvain)
Randi Reppen (NAU)


CONFERENCE WEBSITE: 
https://uclouvain.be/en/research-institutes/ilc/cecl/register-and-task-variation-in-learner-corpus-research.html


CONTACT: [email protected]


REFERENCES

Ädel, Annelie. 2006. Metadiscourse in L1 and L2 English. Amsterdam: John 
Benjamins.
Alexopoulou, Theodora, Michel, Marije, Murakami, Akira & Meurers, Detmar. 2017. 
Task effects on linguistic complexity and accuracy: A large-scale learner 
corpus analysis employing natural language processing techniques. Language 
Learning 67(S1): 180-208.
Biber, Douglas. 1988. Variation across Speech and Writing. Cambridge: Cambridge 
University Press.
Biber, Douglas. 2006. University Language: A Corpus-based Study of Spoken and 
Written Registers. Amsterdam: John Benjamins.
Biber, Douglas & Egbert, Jesse. 2018. Register Variation Online. Cambridge: 
Cambridge University Press.
Fuchs, Robert, Götz, Sandra & Werner, Valentin. 2016. The present perfect in 
learner Englishes: A corpus-based case study on L1 German intermediate and 
advanced speech and writing. In Valentin Werner, Elena Seoane & Cristina 
Suárez-Gómez (eds) Re-assessing the Present Perfect (pp. 297-338). Berlin: De 
Gruyter.
Gablasova, Dana, Brezina, Vaclav, McEnery, Tony & Boyd, Elaine. 2017. Epistemic 
stance in spoken L2 English: The effect of task and speaker style. Applied 
Linguistics 38(5): 613-637.
Gilquin, Gaëtanelle & Paquot, Magali. 2008. Too chatty: Learner academic 
writing and register variation. English Text Construction 1(1): 41-61.
Götz, Sandra. 2013. Fluency in Native and Nonnative English Speech. Amsterdam: 
John Benjamins.
Goulart, Larissa & Dixon, Tülay. 2025. The relative influence of language 
backgrounds, communicative text types, and disciplines in undergraduate student 
writing. International Journal of Learner Corpus Research 11(1).
Larsson, Tove. 2019. Grammatical stance marking across registers: Revisiting 
the formal-informal dichotomy. Register Studies 1(2): 243-268.
Larsson, Tove, Paquot, Magali & Biber, Douglas. 2021. On the importance of 
register in learner writing: A multi-dimensional approach. In Elena Seoane & 
Douglas Biber (eds) Corpus-based Approaches to Register Variation (pp. 
235-258). Amsterdam: John Benjamins.
Staples, Shelley, Biber, Douglas & Reppen, Randi. 2018. Using corpus-based 
register analysis to explore the authenticity of high-stakes language exams: A 
register comparison of TOEFL iBT and disciplinary writing tasks. The Modern 
Language Journal 102(2): 310-332.
Tracy-Ventura, Nicole & Myles, Florence. 2015. The importance of task 
variability in the design of learner corpora for SLA research. International 
Journal of Learner Corpus Research 1(1): 58-95.

_______________________________________________
Corpora mailing list -- [email protected]
https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/
To unsubscribe send an email to [email protected]

Reply via email to