ACL Sustainable Reviewing Policy
In light of challenges with unsustainable rate of submissions at
EMNLP'26, ACL Peer Review Standing Committee has developed a proposal
for a sustainable reviewing policy. It has now been approved by ACL exec
team, and it will apply for submissions to ACL Rolling Review (ARR)
starting from October 2026.
TLDR:
ARR faces a reviewing crisis: submissions are growing far faster than
reviewer capacity. 38% of the ~17K May 2026 submissions came from
authors with no available publication record, and there are cases of
outright spam, for which we so far had no established protocols.
**The proposal:** cap reviewed submissions to available reviewer
capacity. Each submission must "pay" for itself by providing a qualified
service contributor (reviewer or chair). Submissions without service
capacity go into a lottery for whatever spare capacity remains. Service
from qualified contributors counts towards the venue capacity, and a
mentorship system will be built up for those not qualified yet. If a
qualified service contributor is not available among the authors,
non-author designated contributors can be nominated, but must vouch for
the work (arXiv-endorsement style). Measures for system abuse will be
implemented. For example, accounts that systematically submit or endorse
low-quality work, and accounts that misuse the system in other ways,
will be penalized or even banned. Additionally, per-author quotas are
introduced, where authors are capped at 20 total submissions and 5
first-author (including shared first-author) submissions per cycle.
**Offsetting measures:** to keep things as inclusive as possible,
reviewer qualification criteria are being broadened (already implemented
in Aug 2026), with further proposals for a manual application path for
those with equivalent experience, a mentor-matching program for
newcomers, and a certification path to let experienced secondary
reviewers become fully qualified.
Please see the proposal for more details: <LINK HERE>
The new reviewer qualifications, capping of reviewing to available
capacity, AND requirements for all authors to have completed OpenReview
profiles including ORCiD come into effect immediately, and will apply to
submissions to NAACL and COLING 2026 (ARR submission deadline - October
12).
We advise the following steps for those who are planning to make a
submission for NAACL/COLING:
1) **Make sure that ALL co-authors have OpenReview profiles including
ORCiD - and, if available, DBLP/ACL Anthology links**. It was previously
possible for some co-authors to only be registered by email, but this
will no longer be possible. Since it may take a while to coordinate with
all authors, we recommend everyone to do this as soon as possible. The
OpenReview profiles can be registered and updated before the official
submission form opens.
2) Check the new reviewer qualifications, and decide who will serve as
the designated service contributor. Further make sure that this person
has a full OpenReview profile with all publications, is qualified to
review, and will not be named on more than two submissions. Any
submissions with over-committed service contributors will be subset to
max capacity randomly. The submissions that do not provide service
capacity will enter a lottery, and may be assigned to reviewers or desk
rejected based on available capacity.
3) The designated service contributor will need to vouch that the
submission is at the expected quality level: ready for consideration for
acceptance at a top-tier conference.
4) Those who are not yet qualified in terms of past publications, but
have a stellar record of reviewing or secondary reviewing at ARR, will
be able apply for manual verification. Early applications are highly
encouraged, close-to-deadline requests for manual verification may not
get processed on time.
5) Check the new service obligations: if a designated service
contributor has any emergencies, the responsibility to notify about that
and to provide a suitable and willing replacement is now on them.
Otherwise any submissions they are serving for, and any they co-author,
will be desk rejected.
6) Make sure that you are not planning more than 20 submissions, and not
more than 5 as a first or joing-first author.
The updated reviewer qualifications are as follows:
- Those who have obtained their PhDs and/or have senior academic
positions (postdoc/faculty), automatically qualify if they have at least
2 publications in major ACL events, Findings of the ACL, or major ML
venues.
- Doctoral students (but not bachelor and master students), as well as
industry researchers with at least a Masters degree, automatically
qualify if they have at least 2 publications in major ACL events or
Findings or major ML venues and a total of >= 3 publications in total.
- Those who do not automatically qualify by these criteria can serve as
secondary reviewers, mentored by a qualified primary reviewer (see (4)
below), but cannot be designated service contributors by themselves.
Venues considered 'major ACL' are: ACL, CL, COLING, CoNLL, EACL, EMNLP,
HLT, IJCNLP / AACL, LREC, NAACL, TACL, *SEM. Venues considered 'major
ML' are: AAAI, COLM, CVPR, ECCV, FAccT, ICCV, ICLR, ICML, IJCAI, JAIR,
JMLR, NeurIPS, TMLR, TPAMI. Venues considered major may be expanded over
time and additional qualification criteria may be added over time as
appropriate.
The ARR submission form opens two weeks in advance (available from
September 28 for October'26 review cycle). ARR team is currently working
on an automated tool to check reviewer qualifications and streamline
applications for manual verification. This tool will be announced
separately as soon as possible, and linked from the submission form.
ACL Peer Review Standing Committee
https://www.aclweb.org/portal/content/acl-peer-review-standing-committee
Dear colleagues,
The Center for Digital Text Scholarship (DigiTS) <https://digits.ut.ee/> at the University of Tartu is looking for a full-time doctoral researcher to work on linguistic annotation with large language models.
*
Research topic: Linguistic Annotation with LLMs
*
Supervisor: Prof. Maciej Eder (University of Tartu; Polish Academy of Sciences)
*
Position: Junior Research Fellow (full-time)
* Duration: Four years, starting in autumn 2026
*
Application period: 15-30 September 2026
* Requirements: A master’s degree or equivalent qualification and proficiency in English
The project will use a series of experiments to investigate how effectively different types of LLMs can perform linguistic annotation tasks, evaluated against human-annotated gold-standard datasets, particularly in scenarios for which the models were not optimized.
Further information and application details: https://digits.ut.ee/join-the-team/
Please feel free to share this announcement with interested candidates.
All the best,
Kristiina Vaik
Research fellow in Digital Humanities
University of Tartu, Estonia
Third call for papers for NLP4CALL 2026
November 19-20, 2026. Gothenburg, Sweden and online
https://nlp4call.github.io/current/
________________________________________________________________________________
We are happy to announce the 15th edition of the NLP4CALL workshop on
Natural Language Processing for Computer-Assisted Language Learning.
This year, NLP4CALL will be a two-day hybrid event that will take place
on November 19-20, 2026. Onsite participation will be possible at the
Humanisten building of the University of Gothenburg (Renströmsgatan 6,
Göteborg, Sweden) and a link for remote participation will be shared
closer to the workshop dates. Both onsite and online participation are
free of charge.
Contents:
- Workshop description
- Submission information
- Important dates
- Registration
- Invited speakers
- Organizers
- Contact
- Funding
Workshop description
________________________________________________________________________________
The workshop series on Natural Language Processing (NLP) for
Computer-Assisted Language Learning (NLP4CALL) is a meeting place for
researchers working on integrating Natural Language Processing and
Speech Technologies in CALL systems and exploring the theoretical and
methodological issues arising from this connection. The latter includes,
among others, the integration of insights from Second Language
Acquisition (SLA) research, and the promotion of “Computational SLA”
through setting up Second Language research infrastructures.
The intersection of Natural Language Processing (or Language Technology
/ Computational Linguistics) and Speech Technology with
Computer-Assisted Language Learning (CALL) brings “understanding” of
language to CALL tools, thus making CALL intelligent. This fact has
given the name for this area of research — Intelligent CALL, or short,
ICALL. As the definition suggests, apart from having excellent knowledge
of Natural Language Processing and/or Speech Technology, ICALL
researchers need good insights into SLA theories and practices, as well
as knowledge of second language pedagogy and didactics. This workshop
therefore invites a wide range of ICALL-relevant research, including
studies where NLP-enriched tools are used for testing SLA and
pedagogical theories, and vice versa, where SLA theories, pedagogical
practices or empirical data are modeled in ICALL tools. The NLP4CALL
workshop series is aimed at bringing together competences from these
areas for sharing experiences and brainstorming around the future of the
field.
We welcome papers:
- that describe research directly aimed at ICALL;
- that describe the ongoing development of resources and tools with
potential use in ICALL, either directly in interactive applications,
or indirectly in materials, application, or curriculum development,
e.g. learning material generation, assessment of learner texts and
responses, individualized learning solutions, provision of feedback;
- that discuss challenges and/or research agenda for ICALL;
- that describe empirical studies on language learner data.
This year, the workshop has a special focus on process-oriented
approaches to educational NLP, including but not limited to work related
to the collection and analysis of keystroke data from langauge learners.
Submission information
________________________________________________________________________________
Submissions should describe original unpublished complete or in-progress
work and follow the ACL Guidelines for Generative Assistance in
Authorship
(https://www.aclweb.org/adminwiki/index.php/ACL_Policy_on_Publication_Ethics…).
Each submitted paper will be peer-reviewed by at least two members of
the program committee in a double-blind fashion. All accepted papers
will be collected into a proceedings volume to be published both in the
NEALT Proceeding Series and through the ACL anthology.
We accept short, long and demo papers, all of which have to adhere to
the following page limits:
- short and demo papers: between 4 and 7 pages
- long papers: between 8 and 12 pages.
Also note that:
- references and appendices do not count towards these page limits
- the main body of the paper has to be self-contained, as reviewers are
not required to read any appendices
- camera-ready versions of accepted papers will be allowed an additional
page to address reviewer comments.
Papers should be submitted as PDFs through EasyChair
(https://easychair.org/account/signin?l=7836699869611025050.1789051827.85f55…).
LaTeX and Word templates are available at
https://github.com/NLP4CALL/nlp4call.github.io/blob/website/_includes/other….
Important dates
________________________________________________________________________________
- paper submission deadline: September 24, 2026
- notification of acceptance: October 15, 2026
- camera-ready deadline: October 29, 2026
- workshop: November 19-20, 2026
All deadlines are AoE.
Registration
________________________________________________________________________________
Registrations are open! You can find the registration form at
https://forms.cloud.microsoft/pages/responsepage.aspx?id=Me2YB7D1NUmGPHPuJQ….
Invited speakers
________________________________________________________________________________
Prof. Andrea Horbach: A Focus on the Writing Process With and Without AI
Support: Insights from the German PISA 2025 Foreign Language Assessment
Data Collection
Bio: Andrea Horbach has been professor for Educational NLP at Kiel
University and the Leibniz Institute for Science and Mathematics
Education (IPN) since 2024. Her research interests include free-text
scoring, argument mining, automated feedback, and the use of process
data for assessment. She is particularly interested in developing
explainable and fair methods that support human agency in writing and
assessment processes.
Abstract: Automated essay scoring has traditionally focused on the text
as the final written product. More recently, corpora that include
keylogging data have made it possible to shift the focus toward writing
as a process: to investigate how students write and revise their texts,
and to explore whether scoring models can provide useful feedback before
the final essay is completed. Moreover, AI-based writing support is
becoming increasingly available, but we still know comparatively little
about how students actually use such systems while writing. In this
talk, I will give an overview of ongoing work based on data from the
German PISA 2025 foreign language assessment. The data combine final
essays and their scores with intermediate text states, keylogging
information, and interaction logs from an LLM-based writing support
chatbot. I will present first results on how intermediate texts and
process information can be used as early evidence for automated scoring,
and how students interact with AI support during writing. I will
conclude by discussing what these data can tell us about timely
feedback, the interpretation of process evidence, and the role of AI
support in computer-assisted language learning.
Dr. Rianne Conijn: Moving beyond the product: Keystroke Logging for CALL
Bio: Rianne Conijn is an assistant professor in learning analytics in
the Human-Technology Interaction group at Eindhoven University of
Technology, the Netherlands. Her research focuses on developing methods
to capture and model learning behavior (e.g., self-regulated learning)
and writing behavior (e.g., revision processes), using fine-grained
behavioral data, such as keystroke and clickstream data. In addition,
she uses these methods to examine how educational technologies, such as
generative AI, affect the learning process. Rianne recently received a
NWO Veni grant on “Human-Centered AI in education” where she aims to
improve human-AI collaboration in writing in higher education.
Abstract: This abstract has been rewritten by me and polished with AI
several times, yet you only read this final version. The final product
of writing reveals little of the cognitive and behavioural activities
involved in producing it. Keystroke logging, e.g. using Inputlog, can
provide detailed insights into how writing unfolds. However, its value
depends on how we interpret and analyse these data. In this talk, I show
how keystroke data can inform our understanding of students’ writing at
three levels, each making different aspects of the process visible and
each requiring its own analytical choices. The micro level covers
individual key events and short sequences, for instance showing that
pauses cannot simply be equated with planning. The meso level
characterizes how a writing session unfolds over time, revealing
patterns that can inform writing instruction that whole-session averages
obscure. The macro level extends the analysis across a project, tracing
activity across sessions, drafts, and changing task demands. Finally, I
discuss how these perspectives can help us investigate writing with
generative AI, drawing on ongoing research into students’ master thesis
writing. Together, these perspectives show how analysing writing at
different levels can deepen our understanding of how students produce
texts, both with and without generative AI.
Organizers
________________________________________________________________________________
- Arianna Masciolini, Språkbanken Text, University of Gothenburg, Sweden
- David Alfter, Gothenburg Research Infrastructure in Digital Humanities
(GRIDH), University of Gothenburg, Sweden
- Herbert Lange, Språkbanken Text, University of Gothenburg, Sweden
- Ricardo Muñoz Sánchez, Språkbanken Text, University of Gothenburg,
Sweden
- Ildikó Pilán, Norwegian Computing Center, Norway
- Elena Volodina, Språkbanken Text, University of Gothenburg, Sweden
Contact
________________________________________________________________________________
For more information about the workshop, you are welcome to reach out to
nlp4call2026(a)easychair.org.
Funding
________________________________________________________________________________
This workshop is jointly supported by:
- Språkbanken – jointly funded by its 10 partner institutions and the
Swedish Research Council (2025–2028; project id 2023-00161);
- Huminfra;
- the Department of Swedish, Multilingualism, Language Technology;
- the IncluEdS project.
We are pleased to announce the SemEval-2027 Task on *Noun Compound and
Particle Verb Compositionality Prediction in Context* (ComPartMent).
We introduce a shared task on in-context compositionality
prediction: given a target multiword expression (a noun compound such as
glass ceiling or a particle verb such as take off) and a sentence in
which that expression is used, systems are expected to output numerical
scores reflecting human ordinal compositionality ratings for the target
expression in that context.
Our task addresses the compositionality prediction problem from several
novel angles. We incorporate two types of multiword expressions (noun
compounds and particle verbs) in two languages (English and German). For
each of the 1,539 target expressions, we draw on two types of corpora
(present-day and historical data) to provide ≈10 example sentences, each
labeled with human ordinal compositionality ratings.
*Example ratings *
(Scale: 0/clearly non-compositional - 5/clearly compositional)
*Noun compound examples (compound-modifier / compound-head ratings)
*she propelled herself into the firing line in taking the stance she did
(0.6 / 0.7)
our flea market will feature some of the most creative individuals (0.0
/ 4.7)
*Particle verb examples (overall rating)*
it’s gonna get very cold so pull up your leggings (4.8)
I will probably wind up as a Web Haunter […] blogging for eternity (0.2)
How to participate
*Task website*: https://sites.google.com/view/semeval-compartment
*Task data, registration, and submissions*: CodaBench
<https://www.codabench.org/competitions/17971/>
Important dates
September 5, 2026: Trial data release
September 8, 2026: Training data release
January 10, 2027: Evaluation start
January 31, 2027: Evaluation end
Organizers
Filip Miletić, Chris Jenkins, Sabine Schulte im Walde
Institute for Natural Language Processing (IMS), University of Stuttgart
Contact: semeval-compartment (at) ims (dot) uni-stuttgart (dot) de
--
Prof. Dr. Sabine Schulte im Walde
Institut für Maschinelle Sprachverarbeitung
Universität Stuttgart
Pfaffenwaldring 5b
70569 Stuttgart, Germany
fon: +49 (711) 685-84584
email:schulte@ims.uni-stuttgart.de
Dear all,
[Apologies for cross-posting]
The Language Technology research unit at the University of Helsinki ("Helsinki-NLP") seeks to recruit one fully funded NLP PhD student for a duration of 3 years, with extension by up to 1 extra year.
The PhD will focus on the role of pretraining data on cross-lingual transfer for factual tasks — whether data available in one language can be leveraged by multilingual LLMs to produce factually correct text in another language, and conversely, whether failure to do so can be leveraged to identify and characterize pre-training data gaps. The PhD will be conducted under the supervision of Jörg Tiedemann and Timothee Mickus; the position is expected to start on January 1st, although adjustments may be possible.
The position will be held within the Helsinki-NLP team (https://blogs.helsinki.fi/language-technology/), focusing on the FLaM project (https://helsinki-nlp.github.io/flam/).
We invite applications from students currently holding a masters in computational linguistics, NLP, machine learning, or any adjacent field and not have been enrolled previously in another PhD programme. Applicants are to send an email to timothee.mickus(a)helsinki.fi and jorg.tiedemann(a)helsinki.fi with the following subject line: “[crosslingual fact transfer, PhD application]”, and must provide the following:
- A curriculum vitae detailing their education (max 1 page)
- The name and email of one reference (ideally a former supervisor, e.g. for a masters’ thesis)
- A research statement (max 500 words), describing how the applicant’s interest aligns with the topic outlined above and what they expect to achieve through the PhD
- Transcript with grades received
Full consideration will be given to applications received before September 30th; the position will remain open until filled. Shortlisted applicants will be contacted directly for an interview.
We emphasize matching research interests during the assessment of applications, and will not factor in quantitative indicators (such as number of publications, etc.), in line with DORA practices.
Please forward this call to anyone who might be interested!
Best regards,
Timothee Mickus
Research Fellow
University of Helsinki
** CALL FOR PARTICIPATION**
Par-PARSEME - a multilingual shared task on
paraphrasing of idioms
https://unidive.lisn.upsaclay.fr/doku.php?id=other-events:par-parseme
Overview
---------------
The PARSEME and UniDive communities are happy to
introduce the Par-PARSEME, task 4 in
SemEval-2027. It is a follow-up of previous shared
tasks organized by PARSEME.
Par-PARSEME is a shared task whose goal is to
assess systems’ ability to **paraphrase idioms**
in written texts. Idioms, such as a hot dog or to
pull one’s leg, are subsets of multiword
expressions (MWEs), and are combinations of words
exhibiting non-compositional semantics. This makes
them challenging for semantic tasks like
paraphrasing. For instance, a hot dog can be
paraphrased as a bread roll with a hot sausage but
not as #a warm dog or #dog which is hot.
The input for this task is a raw sentence
containing exactly one idiom not explicitly marked
in text. Systems must paraphrase the sentence so
that the original idiom no longer occurs (which
requires idiom identification), but the meaning is
kept. For all details, see the Par-PARSEME website.
Evaluation is done along 2 axes: **performance**
(automatic and manual measures) and **diversity**
(automatic measures).
Quick links
---------------
* Par-PARSEME website:
https://unidive.lisn.upsaclay.fr/doku.php?id=other-events:par-parseme
* SemEval 2027 webpage:
https://semeval.github.io/SemEval2027/tasks
* Par-PARSEME data repository:
https://gitlab.com/parseme/sharedtask-data/-/tree/master/par-parseme?ref_ty…
* Mailing list for the shared task
participants:
https://groups.google.com/g/par-parseme-semeval-2025
* Mailing list to contact the shared task
organizers: parseme dash core at lisn DOT upsaclay
DOT fr
* Expression of interest form:
https://forms.gle/yUbc2FWhPUU41Wma7
* Baseline system:
https://github.com/racai-ai/mwe_baseline
Languages
---------------
Thirteen languages are covered in the training
data: French, Georgian, Modern Greek, Hebrew,
Japanese, Latvian, Persian, Polish, Brazilian
Portuguese, Romanian, Slovene, Swedish, and
Ukrainian. The test data will cover the same
languages, and possibly also English and Serbian
(to be confirmed).
Data
---------------
The Par-PARSEME Gitlab repository contains:
* training data with 60 to 150 data points per
language
* tiny trial data in English and French to
illustrate the expected outcomes and file formats
* tools for system evaluation and file format
validation
* baseline results obtained by the baseline
system which we make available to the participants
Test data will contain about 100 sentences per
language.
Important dates
---------------
* 8 September 2026: Publication of the training
data
* early January 2027: Evaluation starts
* January 31, 2027: Evaluation ends
* February 2027 (tentative): Submission of
system description papers
* March 2027 (tentative): Notification to authors
* April 2027 (tentative): Camera-ready due
* Summer 2027: SemEval-2027 workshop,
co-located with a major NLP conference
Organizers
---------------
Carlos Ramisch, Aix-Marseille Université, LIS, France
Agata Savary, Université Paris-Saclay, LISN, France
Takuya Nakamura, Université Paris-Saclay, LISN, France
Éric Bilinski, Université Paris-Saclay, LISN, France
Manon Scholivet, Université Paris-Saclay, LISN, France
Advisory board
---------------
20 PARSEME native experts of the 13 participating
languages
International Conference
'LAnguage TEchnologies for Low-resource Languages' (LaTeLL '2026)
Fes, Morocco
28, 29 and 30 September 2026
www.latell.org/2026/ [1]
Call for Participatio
n
LaTeLL (https://latell.org/2026/) is the first international conference
dedicated specifically to the automatic processing of low-resource
languages. The event aims to provide a forum for researchers to present
and discuss their latest work in NLP in general, with particular
emphasis on the development and evaluation of language models for
low-resource languages.
The draft conference programme is available at
https://latell.org/2026/draft-programme/.
For registration details, please follow the registration link on the
conference website.
We would be delighted to welcome you to Fes!
--
Amal Haddad Haddad (She/her)
Facultad de Traducción e Interpretación
Universidad de Granada |https://www.ugr.es/personal/amal-haddad-haddad
Lexicon Research Group |http://lexicon.ugr.es/haddad
Co-Convenor, BAAL SIG 'Humans, Machines,
Language'|https://r.jyu.fi/humala
Event Coordinator, BAAL SIG 'Language, Learning and Teaching'
===============
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please immediately notify us via e-mail and delete it"
===============
Links:
------
[1] http://www.latell.org/2026/
Dear Colleagues,
We're delighted to announce that the deadline of archival paper submission to ALTA'26 has been extended to 18 September.
Details are available on our website at https://alta2026.alta.asn.au/calls/papers and a summary follows.
---
Important Dates - Submission deadline (long and short papers): 18 September 2026 - Submission deadline for presentation abstracts and non-archival papers: 9 October 2026. - Author notification: 23 October 2026 - ALTA 2026: 30 November - 2 December 2026
Overview
The 24th Annual Workshop of the Australasian Language Technology Association (ALTA 2026) will be held in person at Deakin University Downtown Campus, Melbourne, from 30 November to 2 December 2026. ALTA is the key local forum for presenting and discussing research results in Natural Language Processing (NLP) and Computational Linguistics (CL). The workshop will feature presentations, posters, and demonstrations from students, industry, and academic researchers. As in previous years, we strongly encourage submissions and participation from industry and government researchers. Accepted papers will be included in the workshop proceedings, published online in the ACL Anthology and on the ALTA website. Papers will be presented either as oral or poster presentations at the workshop. Note that ALTA is listed in the CORE 2026 Conference Rankings as Australasian C.
Topics
- Commonsense Reasoning. - Computational Social Science and Cultural Analytics. - Dialogue and Interactive Systems. - Discourse and Pragmatics. - Efficient Methods for NLP. - Ethics in NLP. - Information Extraction. - Information Retrieval and Text Mining. - Interpretability, Interactivity and Analysis of Models for NLP. - Language Grounding to Vision, Robotics and Beyond. - Language Modeling and Analysis of Language Models. - Linguistic Theories, Cognitive Modeling and Psycholinguistics. - Machine Learning for NLP. - Machine Translation. - Multilinguality and Linguistic Diversity. - Natural Language Generation. - NLP Applications. - Phonology, Morphology and Word Segmentation. - Question Answering. - Resources and Evaluation. - Semantics: Lexical, Sentence level, Document Level, Textual Inference, etc. - Sentiment Analysis, Stylistic Analysis, and Argument Mining. - Speech and Multimodality. - Summarisation. - Syntax, Parsing and their Applications.
We particularly encourage submissions that broaden the scope of our community by considering practical applications of language technology and multidisciplinary research. We also specifically encourage submissions from the industry.
Format and instructions for authors
We welcome long (8 pages) and short (4 pages) Archival Submissions, and Non-Archival Submissions. Please refer to our CfP webpagehttps://alta2026.alta.asn.au/calls/papers for specifics.
---
You can follow ALTA on social media at the following links: LinkedIn (page): https://www.linkedin.com/company/australasian-language-technology-associatio...<https://www.linkedin.com/company/australasian-language-technology-associati…> LinkedIn (group): https://www.linkedin.com/groups/1849979/ X: https://x.com/altanlp Mastodon: https://sigmoid.social/@ALTAnlp
With kind regards, on behalf of the ALTA 2026 Team:
Dr Bahadorreza Ofoghi, General Chair
Prof Massimo Piccardi, Program Chair Dr Ming Liu, Program Chair Dr Mohamed Reda Bouadjenek, Program Chair Dr Zhuang Li, Publication Chair Mong Yuan Sim, PhD candidate, Publication Chair Aymen Rayane Khouas, PhD candidate, Technology Chair Dr Fatima Ansarizadeh, Sponsorship Chair Sara Mirabi, PhD candidate, Local Chair Saeedeh Javadi, PhD candidate, Local Chair A/Prof Wei (Emma) Zhang, Publicity Chair
*Leiden University Centre for Linguistics is organising the 9th edition
of the Using Corpora in Contrastive and Translation Studies conference
series in 2027.*
UCCTS conference is a biennial international conference which was
launched by Richard Xiao in 2008 to provide an international forum for
the exploration of the theoretical and practical issues pertaining to
the creation and use of corpora in contrastive and
translation/interpreting studies.
Since 2008 UCCTS conference series that took place, among other, in
Louvain-la-Neuve (2018), Bertinoro (2021), Poznań (2023) and Hildesheim
(2025) has played a key role in advancing contrastive and translation
studies by giving scholars of the sister disciplines the opportunity to
meet and engage in discussions on research outcomes and ideas on how to
effectively apply, enhance and further develop corpus methods to move
both fields forward. A selection of papers presented at UCCTS appeared
in special issues of journals important in both fields or edited volumes
published, for example, by Routledge or Bloomsbury.
The 9th edition of the UCCTS conference will be held on *9-11th June
2027 in Leiden, the Netherlands*.
The conference is planned to be an on-site event. However, we will try
to also organise virtual presentation options.
*CALL FOR PAPERS*
UCCTS conference series are meant to bring together researchers who
collect, annotate, analyze corpora and/or use them to inform contrastive
linguistics and translation theory and/or develop corpus-informed tools
(in foreign language teaching, language testing and quality assessment,
translation pedagogy, computer-aided/machine translation or other
related NLP domains). We invite original submissions that open to
various topics within empirical contrastive linguistics and translation
studies (see below). We welcome interdisciplinary contributions that
combine corpus data with other types of empirical data (e.g. experiment)
and allow for an interplay between different methods and data types.
Moreover, we encourage contributions applying information and
computational technologies including Large Language Models (LLMs).
*Conference topics* include:
* Quantitative approaches in corpus-based contrastive and
translation/interpreting studies, in particular with
multi-methodological designs (corpus-based, corpus-driven,
experimental) and advanced statistical modeling
* Computational methods derived from NLP and data mining (e.g.
computational semantics, pragmatics) applied to contrastive
linguistics and translation studies
* LLMs for contrastive linguistics and translation research (data
annotation, data analysis, etc.)
* Method and data triangulation: combined use of corpus data and
methods and other sources of data
* New or remodeled theoretical frameworks relevant to corpus-based
contrastive and translation/interpreting studies
* Presentation of new resources for contrastive and translation
studies (spoken and multimodal corpora, sign language (interpreting)
corpora, transcript datasets, corpora of low-resourced languages,
lexicons, databases, etc.)
* Linguistic variation of various types, e.g. variation driven by
register or genre variation, learner language, target audience, mode
of production, etc.
* Cognitive approaches to translation (and other language product)
properties
* Analysis of non-canonical forms of (multilingual) communication
* Corpus use in translator training, foreign language learning/teaching
* Corpus use in multilingual (e-)lexicography and terminology
* Quality assessment in (automatic) translation and interpreting
* Non-canonical forms of translation/interpreting and multilingual
communication
* Corpus analysis of translation between close languages, from a third
language, non-native translation, indirect/relay translation, etc.
* Analysis of accessible communication (e.g. intralingual translation,
audio-visual and audio-descriptive forms, etc.)
* Corpora and linguistic resources for low resource languages
The submissions are to be made in the form of anonymized extended
abstracts (in PDF) that should be between *800* and *1000* words long
(excluding references) by *20th November 2027*. Apart from a clear
outline of the aims and methods of the study, the abstracts should also
provide (preliminary) results. The abstracts will be submitted in pdf
through theOpen review system
<https://openreview.net/group?id=UCCTS/2027/Conference#tab-your-consoles>
and reviewed by at least two members of the scientific committee. The
accepted contributions will be presented either as oral talks or as
posters.
* Important dates*
* Conference abstract submission due: 20 November 2026
* Notification of acceptance: 29 January 2027
* Final abstract version due: 19 February 2027
* Registration open: 26 February 2027
* Early-bird registration: 9 April 2027
* *Conference date*: 9-11 June 2027
*For questions and requests, please contact uccts2027(a)hum.leidenuniv.nl*