December 04-06, 2024

Vellore Institute of Technology (VIT), Chennai, INDIA


This conference aims at bringing together researchers from across the world working on low-resourced and minority languages to create more speech and language technology for languages of the world.

We invite submissions on topics that include, but are not limited to, the following:

    Track 1 - Language Resources (LRs)
    • Lexicons and machine-readable dictionaries
    • Linguistic Theories, Phonology, Morphological analysis, Syntax and Semantics
    • Corpus development, tools, analysis and evaluation
    • Issues in the design, construction and use of LRs: text, speech, sign, gesture, image, in single or multimodal/multimedia data
    • Exploitation of LRs in systems and applications
    • Annotation, analysis, enrichment of text archives
    Track 2 - Language Technologies (LT)
    • Code-mixing
    • Cognitive modeling and psycholinguistics
    • Computer-assisted language learning (call)
    • Covid-19 alert, NLP applications for emergency situations and crisis management
    • Equality, diversity, and inclusion for language technology
    • Fake news, spam, and rumour detection
    • Hate speech detection and offensive language detection
    • Machine translation, sentiment analysis, and text summarization
    • Text and data mining for social sciences and humanities research
    • Text and data mining of (bio) medical literature, including pandemics
    • Knowledge representation and reasoning
    • Knowledge graphs for corpora processing and analysis
    • Applications for language, data and knowledge
    • Question answering and semantic search
    • Text analytics on big data
    • Semantic content management
    • Computer-aided language learning
    • Natural language interfaces to big data
    • Knowledge-based NLP
    Track 3 - Speech Technologies (ST)
    • Speech technology and automatic speech recognition
    • Spoken dialog systems and analysis of conversation
    • Spoken language processing — translation, information retrieval, summarization resources and evaluation
    • Speaker verification and identification
    • Multimodal/multimedia speaker recognition and diarization
    • Analysis of speech and audio signals
    • Speech coding and enhancement
    • Speech recognition - architecture, search, and linguistic components
    • Speech, voice, and hearing disorders
    • Speech synthesis and spoken language generation
    • Cross-lingual and multilingual components for speech recognition / code switching
    Track 4 - Computer vision and Natural Language Processing (NLP)
    • Image Captioning
    • Optical Character Recognition
    • Handwritten Recognition
    • Visual Question Answering
    • Machine learning for multimodal interaction
    • Mobile multimodal systems
    • Multimodal behaviour generation
    • Multimodal datasets and validation
    • Multimodal dialogue modeling
    • Multimodal fusion and representation
    • Multimodal interactive applications
    • Novel multimodal datasets
    Track 5 - Applications of NLP
    • NLP for Social media applications
    • Federated Learning
    • Disordered Speech with NLP
    • Explainable models for speech and NLP technologies
    • Quantum Computing with NLP
    • Conversational agents using NLP and Speech technologies
    • Cross cultural NLP
    • NLP in Education
    • Leveraging NLP and Speech technologies to promote heritage and culture
    Track 6 - Federated learning & Ethical NLP
    • Ethics, Bias, and Legislation in Speech, Vision, and NLP
    • Digital privacy and identity management in NLP and Speech Technologies
    • Explainability of NLP and speech technology tools
    • Bias in Large Language Models (LLMs) and multimodal model
    • Bias in security related NLP and Speech datasets and annotations


The SPELLL 2024 conference has embraced the ACL 2023 Policy regarding AI writing tools, which mandates authors to disclose AI assistance in their research. This policy differentiates between necessary and unnecessary disclosures. Authors are not required to mention AI help used for linguistic enhancements, short-form text generation, or conducting literature searches. However, disclosures are compulsory when AI contributes to generating low-novelty content or new ideas, where authors must validate the accuracy and cite appropriately, including for verbatim text. Specifically, if AI proposes new research ideas or substantial content, authors should acknowledge its use, ensuring any such contributions are original, coherent, correctly cited, and devoid of plagiarism. This approach aims to maintain integrity and transparency in research contributions while navigating the evolving landscape of AI-assisted research.

Code writing assistants - Acknowledge the use of such systems and the scope thereof, e.g. in the README files accompanying the code attachments or repositories.

In all cases, authors are responsible for the correctness of their methods, results, and writing. Authors should check for potential plagiarism, both of text and code.


Regular Papers

Regular submissions must describe substantial, original, completed and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included.

Regular papers may consist of 12 - 15 pages of content including references. However, page restrictions will not be followed strictly, if the authors wish to have more explanation of their work.

Short Papers

SPELLL 2024 also solicits short papers. Short paper submissions must describe original and unpublished work. Short papers should have a point that can be made in a few pages. Some kinds of short papers are:

  • A small, focused contribution
  • Work in progress
  • Experience notes

Short papers may consist of 6 - 8 pages including references. Short papers will be presented in one or more oral or poster sessions. While short papers will be distinguished from regular papers in the proceedings, there will be no distinction in the proceedings between short papers presented orally and as posters. However, page restrictions will not be followed strictly, if the authors wish to have more explanation of their work.

Review Policy

For SPELLL 2024, the evaluation of submissions will employ a double-blind review process, ensuring impartiality and confidentiality in the assessment of papers. Under this system, the identities of both the reviewers and the authors are kept anonymous. This means that authors do not know who reviews their papers, and reviewers are unaware of the authors' identities. This approach is designed to minimize biases related to the authors' background, affiliation, or previous work, promoting an objective evaluation based on the submission's originality, relevance, importance, and clarity.
Furthermore, authors are required to maintain anonymity in their citations as well. When referring to their previous work, authors should use the third person to avoid revealing their identity. For example, instead of saying "In our earlier work..." or "We previously showed that...", authors should frame these citations as if referencing another researcher's work, such as "Smith et al. (2020) demonstrated that...". This guideline helps preserve the integrity of the double-blind review process, ensuring that papers are evaluated solely on their merits.

Author Guidelines

  • When submitting a paper, authors must rigorously follow the double-blind policy guidelines. This includes omitting names and affiliations from the submission and ensuring adherence to the review policy guidelines to maintain anonymity.
  • Authors must follow the Springer LNCS formatting instructions.
  • For camera-ready papers use Latex or Word style provided on the authors' page for the preparation of papers.
  • The LaTeX Proceedings Template for scientific authoring platform in Overleaf.
  • Each paper will receive at least three reviews. At least one author of each accepted paper must register by the early registration date indicated on the conference website and present the paper.

Submission Link : Click here for the submission.


Accepted papers that are presented at the conference will be published in the Springer series: Communications in Computer and Information Science (CCIS). .

Volumes published will be indexed in Conference Proceedings Citation Index (CPCI) - part of Clarivate Analytics’ Web of Science, EI Engineering Index, ACM Digital Library, DBLP, Google Scholar and Scopus.