SPELLL 2023 : Second International Conference on Speech & Language Technology for Low-resource Languages

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We are delighted to announce the Call for Papers for the upcoming Second International Conference on Speech & Language Technology for Low-resource Languages (SPELLL 2023), scheduled to be held on 06-08 December 2023 at Kongu Engineering College, Erode, Tamil Nadu, India. The previous edition, SPELLL 2022 was held at Sri Sivasubramaniya Nadar College of Engineering, Chennai, India during 23-25 November, 2022. The proceedings of the first edition have been published in the Springer series: Communications in Computer and Information Science (CCIS). This proceedings can be accessed via https://link.springer.com/book/10.1007/978-3-031-33231-9.

We would like to invite you to submit your research work and contribute to the success of the second edition, SPELLL 2023. SPELLL 2023 aims to bring together researchers, experts, and practitioners from diverse fields to foster intellectual discussions, exchange knowledge, and explore innovative solutions to the challenges of NLP. This interdisciplinary conference will provide a platform for participants to present their latest research findings, engage in vibrant discussions, and build valuable collaborations.


Conference Link: http://spelll.org/
CALL FOR PAPERS

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 - Other related topics
Analysis of para-linguistics in speech and language
Multimodal analysis
Visualisation of social sciences and humanities research
SUBMISSION GUIDELINES

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 2023 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


All submissions to SPELLL 2023 will be reviewed on the basis of originality, relevance, importance and clarity by at least two reviewers. The review process will be double blind and the authors should refer to themselves in third person when citing their own work. Phrases like "In our earlier work..." or "We previosuly showed that..." should be avoided when submitting the paper for review.


Author Guidelines



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.


Important Dates
Paper Submission Due: July 20, 2023.

Acceptance Notification: September 20, 2023.

Camera Ready Submission: October 15, 2023.

Conference: December 06-08, 2023.

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



with regards,
Dr. Bharathi Raja Chakravarthi,
Assistant Professor / Lecturer-above-the-bar
School of Computer Science, University of Galway, Ireland
Insight SFI Research Centre for Data Analytics, Data Science Institute, University of Galway, Ireland
E-mail: [email protected] , [email protected]
Google Scholar: https://scholar.google.com/citations?user=irCl028AAAAJ&hl=en
Website: https://www.universityofgalway.ie/our-research/people/bharathirajaasokachakravarthi/