மதுரைக் காண்டம் 5. அடைக்கலக் காதை
1Dear Researchers,
We are delighted to announce that the paper submission is open for the upcoming Third International Conference on Speech & Language Technology for Low-resource Languages (SPELLL 2024), scheduled to be held on 04th -06th December 2024 at Vellore Institute of Technology (VIT), Chennai, Tamil Nadu, India.
The first edition, SPELLL 2022 was held at Sri Sivasubramaniya Nadar College of Engineering, Chennai, India during 23-25 November, 2022. The second edition, SPELLL 2022 was held at Kongu Engineering College, Erode, Tamil Nadu, India during 06-08 December, 2023. The proceedings of both editions have been published in the Springer series: Communications in Computer and Information Science (CCIS). The proceedings can be accessed via the following links:
SPELLL 2022: https://link.springer.com/book/10.1007/978-3-031-33231-9
SPELLL 2023: https://link.springer.com/book/9783031584947
We would like to invite you to submit your research work and contribute to the success of the Third edition, SPELLL 2024. SPELLL 2024 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.
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 - 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
AI-ASSISTED RESEARCH DISCLOSURE GUIDELINES
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.
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 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
All submissions to SPELLL 2024 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 previously 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.
Submission Link : https://equinocs.springernature.com/service/SPELLL2024
VOLUME EDITORS:
Bharathi Raja Chakravarthi, University of Galway, Ireland
Bharathi B, Sri Sivasubramaniya Nadar College of Engineering, India
Saranya Rajiakodi, Central University of Tamil Nadu, India
Miguel Ángel García Cumbreras, Universidad de Jaén, Spain
Salud María Jiménez Zafra,Universidad de Jaén, Spain
György Kovács, Luleå University of Technology, Swedan
Steffen Eger,Natural Language Learning Group (NLLG), University of Mannheim, Germany
Endang Wahyu Pamungkas, Universitas Muhammadiyah Surakarta, Indonesia
Kaja Dobrovoljc, University of Ljubljana, Slovenia
KEYNOTE SPEAKERS:
Paolo Rosso, Universitat Politècnica de València, Spain
Illa Markov, Vrije Universiteit Amsterdam, Netherlands
A Seza Dogryoz, Ghent University, Belgium
Doris Dippold, University of Surrey, UK
TIMELINES FOR MAIN CONFERENCE PAPERS.
Paper Submission Deadline : July 04, 2024.
Decision Period : August 21 - September 08, 2024.
Acceptance notification : September 15, 2024.
Camera Ready Submission : October 15, 2024.
Conference Date : December 04 - 06, 2024.
Note: All submission deadlines are India Standard Time (IST)
PUBLICATION
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.
முன்னுரை:
ஆரோக்கியம் என்பது நல்ல உணவைத் தேர்ந்தெடுப்பதில் இருந்து தொடங்குகிறது. துரித உணவு போன்ற விரைவான தீர்வுகள் தற்காலிக மகிழ்ச்சிக்கு மட்டுமே வழிவகுக்கும் என்பதை மறந்து விடாதீர்கள்! மாறாக, சரிவிகித உணவுகளில் கவனம் செலுத்தி, ஆரோக்கியமான உணவுபற்றிய செய்தியைப் பகிர்ந்து கொள்வோம்; மகிழ்ச்சியாக இருப்போம். இந்த மாற்றம், நோயற்ற ஒரு உலகத்திற்கு வழிவகுக்கும். இது சுகாதாரப் பாதுகாப்பின் அழுத்தத்தைக் குறைக்கும். இது தனிப்பட்ட நல்வாழ்வைப் பற்றியது மட்டுமல்ல; பொது நலனையும் உள்ளடக்கியது. தகவலறிந்து உணவுத் தேர்வுகளைச் செய்வதன் மூலம், ஆரோக்கியமான கிரகத்திற்கு நாம் பங்களிப்பதோடு மட்டுமல்லாமல், சுகாதார வளங்களைப் புத்திசாலித்தனமாகப் பயன்படுத்துவதையும் உறுதிசெய்கிறோம். உணவுகுறித்த நமது அணுகுமுறையை மறுபரிசீலனை செய்து அனைவருக்கும் பிரகாசமான, ஆரோக்கியமான எதிர்காலத்திற்கு வழி வகுக்கும் நேரம் இது
பாரம்பரிய உணவை உட்கொள்ளுதல், துரித உணவை முற்றிலும் தவிர்த்தல்.
முன்னுரை
Travel - Siliconindia
இன்று, தொழில்நுட்பக் கண்டுபிடிப்புகள் நிறைய வந்துவிட்டன. இவையினால் நமது உலகம் அதிவேகமாக வளர்ந்துவிட்டது. வேலை வாய்ப்புகளும் அதிகரித்துவிட்டன.
ஆனால், கடந்த பத்து வருடங்களாக, சம்பளம் கூடவேயில்லை! இதனால், பணியாளர்களுக்கு அதிக சம்பளம் தேவை. ஏனென்றால், விலைகள் மிக அதிகமாக உயர்ந்தன! அதிக பணி நேரத்திரக்குப் பணியைச் செய்ய வேண்டிய சூழல் வந்துவிட்டது.
