36.3468, Confs: Language Technologies for Low-resource Languages (Morocco)

[The LINGUIST List]

LINGUIST List: Vol-36-3468. Thu Nov 13 2025. ISSN: 1069 - 4875.

Subject: 36.3468, Confs: Language Technologies for Low-resource Languages (Morocco)

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Date: 12-Nov-2025
From: ِAmal Haddad Haddad [amalhaddad at ugr.es]
Subject: Language Technologies for Low-resource Languages


Language Technologies for Low-resource Languages
Short Title: LaTeLL 2026

Date: 30-Sep-2026 - 10-Feb-2026
Location: Fes, Morocco
Meeting URL: https://latell.org/2026/

Linguistic Field(s): Computational Linguistics

Submission Deadline: 01-May-2026

Natural Language Processing (NLP) has witnessed remarkable progress in
recent years, largely driven by the emergence of deep learning
architectures and, more recently, large language models (LLMs).
Nevertheless, these advances have disproportionately benefited
high-resource languages that possess abundant data for model training.
By contrast, low-resource languages—which account for at least 85% of
the world’s linguistic diversity and are often spoken by smaller or
marginalised communities- have not yet reaped the full benefits of
contemporary NLP technologies.
This imbalance can be attributed to several interrelated factors,
including the scarcity of high-quality training data, limited
computational and financial resources, and insufficient community
engagement in data collection and model development. Developing NLP
applications for low-resource languages poses major challenges,
particularly the need for large, well-annotated datasets, standardised
tools, and robust linguistic resources.
Although several workshops have previously addressed NLP for
low-resource languages, LaTeLL represents the first international
conference dedicated specifically to the automatic processing of such
languages. The event aims to provide a forum for researchers to
present and discuss their latest work in NLP in general, and in the
development and evaluation of language models for low-resource
languages in particular.
Conference Topics:
We invite submissions on a broad spectrum of topics concerning
linguistic and computational studies focusing on low-resource
languages, including but not limited to the following topics:
Language resources for low-resource languages
 - Dataset creation and annotation
 - Evaluation methodologies and benchmarks for low-resource settings
 - Lexical resources, corpora, and linguistic databases
 - Crowdsourcing and community-driven data collection
 - Tools and frameworks for low-resource language processing
Core language technologies for low-resource languages
 - Language modelling and pre-training for low-resource languages
 - Speech recognition, text-to-speech, and spoken language
understanding
 - Phonology, morphology, word segmentation, and tokenisation
 - Syntax: tagging, chunking, and parsing
 - Semantics: lexical and sentence-level representation
NLP Applications for low-resource languages
 - Information extraction and named entity recognition
 - Question answering systems
 - Dialogue and interactive systems
 - Summarisation
 - Machine translation
 - Sentiment analysis, stylistic analysis, and argument mining
 - Content moderation
 - Information retrieval and text mining
Multimodality and Grounding for low-resource languages
 - Vision and language for low-resource contexts
 - Speech and text multimodal systems
 - Low-resource sign language processing
Ethics, Equity, and Social Impact for low-resource languages
 - Bias and fairness in low-resource language technologies
 - Sociolinguistic considerations in technology development
 - Cultural appropriateness and sensitivity
Human-Centred Approaches in low-resource languages
 - Usability and accessibility of low-resource language technologies
 - Educational applications and language learning
 - Community needs assessment and technology adoption
 - User experience research in low-resource contexts
Multilinguality and Cross-Lingual Methods for low-resource languages
 - Multilingual language models and their adaptation
 - Code-switching and code-mixing
 - Cross-lingual transfer learning in low-resource languages.
Special Theme Track 1 — Building Applications Based on Large Language
Models for Low-Resource Languages
LaTeLL’2026 will feature a Special Theme Track dedicated to the
development of applications based on Large Language Models (LLMs) for
low-resource languages.
This track aims to explore innovative methodologies, architectures,
and tools that leverage the power of LLMs to enhance linguistic
processing, accessibility, and inclusivity for underrepresented
languages. Contributions are encouraged on topics such as model
adaptation and fine-tuning, multilingual and cross-lingual transfer,
ethical and fairness considerations, and the creation of datasets and
benchmarks that facilitate the integration of LLM-based solutions in
low-resource settings.
Special Theme Track 2 — Modern Standard Arabic (MSA) and Arabic
Dialects
This special track addresses the unique challenges and opportunities
in processing Modern Standard Arabic (MSA) and the rich landscape of
Arabic dialects. The diglossic nature of Arabic, where the formal MSA
coexists with numerous, widely used spoken dialects, presents a
significant hurdle for NLP. While MSA is relatively well-resourced,
Arabic dialects are quintessential examples of low-resource languages,
often lacking standardised orthographies, annotated corpora, and
dedicated processing tools. This track invites submissions on novel
research and resources aimed at bridging this gap and advancing the
state of the art in Arabic language technology. Topics of interest
include, but are not limited to:
 - Dialect identification and classification
 - Creation of corpora and lexical resources for Arabic dialects
 - Machine translation between MSA and dialects, and across different
dialects
 - Speech recognition and synthesis for dialectal Arabic
 - Computational modelling of morphology, syntax, and semantics for
dialects
 - NLP applications (e.g., sentiment analysis, NER) for dialectal
user-generated content
 - Code-switching between Arabic dialects, MSA, and other languages
Submissions and Publication:
LaTeLL’2026 welcomes high-quality submissions in English, which may
take one of the following two forms:
 - Regular (long) papers: Up to eight (8) pages in length, presenting
substantial, original, completed, and unpublished research.
 - Short (poster) papers: Up to four (4) pages in length, suitable for
concise or focused contributions, ongoing research, negative results,
system demonstrations, and similar work. Short papers will be
presented during a dedicated poster session.
The conference will not consider submissions consisting of abstracts
only.
All accepted papers—both long and short—will be published as
electronic proceedings (with ISBN) and made available on the
conference website at the time of the event. The organisers intend to
submit the proceedings for inclusion in the ACL Anthology.
Authors of papers receiving exceptionally positive reviews will be
invited to prepare extended and substantially revised versions for
submission to a leading journal in the field of Natural Language
Processing (NLP).
Further details regarding the submission process will be provided in
the Second Call for Papers, scheduled for release in November 2025.
The conference will also feature a Student Workshop, and awards will
be presented to the authors of outstanding papers.
Important Dates:
 - Submissions due: 1 May 2026
 - Reviewing process: 20 May – 20 June 2026
 - Notification of acceptance: 25 June 2026
 - Camera-ready due: 10 July 2026
 - Conference camera-ready proceedings ready 10 July 2026
 - Conference: 30 September, 1 October and 2 October 2026
Organisation:
Conference Chair: Ruslan Mitkov (Lancaster University and University
of Alicante)
Programme Committee Chairs:
Saad Ezzini (King Fahd University of Petroleum & Minerals)
Salima Lamsiyah (University of Luxembourg)
Tharindu Ranasinghe (Lancaster University)
Organising Committee:
Maram Alharbi (Lancaster University)
Salmane Chafik (Mohammed VI Polytechnic University)
Ernesto Estevanell (University of Alicante)
Further Information and Contact Details:
The follow-up calls will provide more details on the conference venue
and list keynote speakers and members of the programme committee once
confirmed.
The conference website is www.latell.org/2026/ and will be updated on
a regular basis. For further information, please email 2026 at latell.org
Registration will open in March 2026.



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