Call for Papers

Adaptation and Adaptability in Corpus Linguistics

Adaptation and adaptability have become unavoidable in an era defined by profound change and crisis - ecological, socio-political, economic, medical, technological, and beyond.

Rather than viewing adaptation and adaptability as the passive acceptance of change, we invite submissions to CL2027 that explore adaptation and adaptability as active strategies of awareness, resilience, responsibility, and resistance (amongst other things).

Specifically, we invite submissions that adopt (and adapt) corpus methodologies to explore the many and major disciplinary and global challenges we face today by considering the adaptation and adaptability of various textual and communication strategies pertinent to these challenges.

We welcome paper presentations, poster presentations, thematic panels, and pre-conference workshops that explore any aspect of corpus linguistics methodology and theory, but we particularly encourage submissions addressing the core theme of linguistic adaptation and adaptability in relation to the following dimensions, which can include but are not limited to:

Innovation and adaptation of Corpus Methods

Innovation in Corpus Design: New approaches to corpus construction, sampling, and annotation
Tools and Techniques: Development and critical evaluation of analytical software, visualisation techniques, and computational tools and techniques
Methodological Rigor: Critical (re)assessment of existing frameworks, statistical techniques, and approaches to best practice in research (e.g. replicability, reproducibility)

Variation, Varieties, and Pedagogy

Pedagogical Applications and Learner Corpora: Design, analysis, and utilisation of learner language datasets; language teaching, second language acquisition, and assessment; and the teaching of corpus linguistics as an academic discipline
Underrepresented Languages and Multilingualism: Studies on marginalised codes, sign languages, translanguaging practices, and intercultural communication
Translation and Contrastive Analysis: Corpus approaches to translation studies, cross-linguistic contrast, and localised text adaptation
Sociolinguistics and Structural Adaptability: Language change, multimodal communication, register/genre variation, and digital communication on social media.

Corpus Linguistics: applications and impacts

Climate, Environment, and Sustainability: Analysis of ecological crises, climate crisis communication, and environmental policy
Socio-Cultural Studies and The Economy: Corpus approaches to promotional culture, corporate communication, marketing, entrepreneurship, and specialised institutional realms (such as institutional hospitality, cultural heritage, regional promotion discourses, etc.)
Health, Wellbeing, and Policy: Investigating language adaptation in medical communication, healthcare accessibility, and public policy formulation
Specialised Domains: Forensic linguistics, stylistics, lexicography, and social mobility studies

Corpus Linguistics and Artificial Intelligence (AI)

Generative AI in Corpus Studies: Utilising large language models (LLMs) and advanced AI tools in corpus-based/-driven studies
AI-Driven Analysis: Synergies between 'traditional' corpus tools and AI tools
Evaluation of Synthetic Language: Corpus-based studies and forensic evaluation of AI-generated prose, checking for bias, stylistic variance, and structural drift
AI-Enabled Methods: studies making use of AI in the adaptation and innovation of corpus methods

Submission guidelines

Paper, poster, and thematic panel abstracts, and pre-conference workshop proposals, should be submitted via the CL2027 CMT submission point. The language of the conference is English. We especially encourage submission of abstracts from early-career researchers, including postgraduate research students and postdoctoral researchers.

Paper Presentations

Submit Paper

Paper presentations are especially suitable for submissions that report on completed research, or research in progress for which at least some substantial results have been generated.

Abstracts should be a maximum of 3,000 characters (inclusive of references)
Abstracts should report on the background, research questions, data, methods, results, and implications of the research, as appropriate to the nature of the paper
All accepted papers will be allocated a 30-minute block (20-minute presentation + 5 minute Q&A + 5 minutes changeover)

Poster Presentations

Submit Poster

Poster presentations are especially suitable for submissions that report on planned/early-stage/work-in-progress research for which substantive results may not have yet been generated.

Abstracts should be a maximum of 3,000 characters (inclusive of references)
Abstracts may report on the background, research questions, data, methods, (provisional) results, and (potential) contributions of the research, as appropriate

Thematic Panels

Submit Thematic Panel

Thematic panels are extended sessions that relate to a single coherent theme. To ensure synchronisation of the parallel sessions, panels must be divided into 30-minute blocks (25 minutes + 5 minutes changeover), each comprising, for example, a paper presentation or discussion session (e.g. speaker roundtable, panel discussion, extended Q&A).

Panel organisers should direct informal inquiries to the CL2027 organising committee (corpuslinguistics2027@gmail.com) prior to submission
Inquiries should detail the overall motivation for the panel, individual contributions within the panel, and the proposed panel structure
Proposals are welcome for panels of minimum of 1.5 hours (3 papers) in length
Panels will not be processed without prior consultation with the CL2027 organising committee

Important dates

Add to Google Calendar

Download .ical - add to Outlook, Apple Calendar, etc.

Notes on use of AI in submissions and review

AI in abstract submissions

AI declaration: a declaration of how/whether AI has/has not been used will be compulsory for all submissions. Declarations will accompany all published abstracts.

AI & the review process

To maintain high standards of ethical and research practice, AI will not be permitted for use in the review process in any capacity. AI is not a peer and so can neither ethically nor responsibly carry out peer review.
In carrying out peer review, all reviewers will agree to the following declaration: "I have not used generative AI tools in any capacity to carry out my peer review. I have not shared the abstracts assigned to me with any third party, including through the upload of these unpublished abstracts to any generative AI tool."
Reviews found to have made use of AI in any capacity will be discarded and reviewers using AI may not be permitted to further participate in the conference.

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