Second International Conference, SPELLL 2023, Perundurai, Erode, India, December 6–8, 2023, Revised Selected Papers Chakravarthi, Bharathi Raja. editor. edt http://id.loc.gov/vocabulary/relators/edt B, Bharathi. editor. edt http://id.loc.gov/vocabulary/relators/edt García Cumbreras, Miguel Ángel. editor. edt http://id.loc.gov/vocabulary/relators/edt Jiménez Zafra, Salud María. editor. edt http://id.loc.gov/vocabulary/relators/edt Subramanian, Malliga. editor. edt http://id.loc.gov/vocabulary/relators/edt Shanmugavadivel, Kogilavani. editor. edt http://id.loc.gov/vocabulary/relators/edt Nakov, Preslav. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access XIV, 460 p. 272 illus., 130 illus. in color. online resource. This book constitutes the refereed conference proceedings of the second International Conference on Speech and Language Technologies for Low-Resource Languages, SPELLL 2023, held in Perundurai, Erode, India, during December 6–8, 2023. The 27 full papers and 6 short papers presented in this book were carefully reviewed and selected from 94 submissions. The papers are divided into the following topical sections: language resources; language technologies; speech technologies; and workshops - regional fake, MMLOW, LC4. -- Language Resources. -- PolitiKweli: A Swahili-English Code-switched Twitter Political Misinformation Classification Dataset. -- Telugu Meme Dataset and Baseline System for Automatic Identification of Domain, and Troll in Memes -- -- SamPar: A Marathi hate speech dataset for Homophobia, Transphobia -- L3Cube-MahaNews: News-based Short Text and Long Document Classification Datasets in Marathi -- Creation and Classification of Kannada Meme Dataset: Exploring Domain and Troll Categories -- Examining the Opportunities in Python Programming -- -- Language Technologies: -- Natural Language Processing for Tulu: Challenges, Review and Future Scope. -- DeepBoost TransNet Transformer Network for Depression Classification. -- Optimized BERT model for Question Answering System on Mobile Platform. -- A Comparative Analysis of Pretrained Models for Sentiment Analysis on Restaurant Customer Reviews(CAPM-SARCR) -- Lightweight Language Agnostic Data Sanitization Pipeline for dealing with Homoglyphs in Code-Mixed Languages -- TextGram: Towards a better domain-adaptive pretraining -- Abusive Social Media Comments Detection for Tamil and Telugu -- Sales Forecasting from Group Conversation using Natural Language Processing -- Hands in Harmony: Empowering Communication through Translation -- Offensive text detection for Tamil language -- Telugu-English Abusive Comment Detection using XLMRoBERTa and mBERT -- A Knowledge Engineering Framework Addressing High Incidence of Farmer Suicides -- Event Categorization from News Articles using Machine Learning Techniques -- From Words to Emotions: Identifying Depression through Social Media Insights -- Text Summarisation for Low-resourced Languages, A review -- Speech Technologies -- Multi Speaker Activity Detection Using Spectral Centroids -- Spoken Language Identification System using Convolutional Neural Networks -- Exploring the Role of Entropy in Music Classification -- Spectral Features Based Spoken Dialect Identification for Punjabi Language -- Hate Speech Detection Using Audio in Portuguese Language -- An Empirical Analysis of the Consonantal Phonemic Patterns and characteristics of English spoken in India -- Workshop 1: Workshops - Regional fake, MMLOW, LC4. -- Multilingual Fake News Detection in Low-Resource Languages: A Comparative Study Using BERT and GPT-3.5 -- Bridging the Language Gap: Transformer-Based BERT for Fake News Detection in Low-Resource Settings -- Optimized latent-dirichlet-allocation based topic modeling – an empirical study -- Gender Recognition using ANN and Forward Rajan Transform Inclusive of Transgender Identity -- Sarcasm Detection for Tamil Code-Mix Data using Transformers -- Automatic identification of Meimayakkam in Tamil words using Rule based and Transfer learning. edited by Bharathi Raja Chakravarthi, Bharathi B, Miguel Ángel García Cumbreras, Salud María Jiménez Zafra, Malliga Subramanian, Kogilavani Shanmugavadivel, Preslav Nakov. Artificial intelligence Computer networks  Natural language processing (Computer science) Database management Artificial Intelligence Computer Communication Networks Natural Language Processing (NLP) Database Management Q334-342 TA347.A78 9783031584954 https://doi.org/10.1007/978-3-031-58495-4 https://doi.org/10.1007/978-3-031-58495-4 240423 20251030112006.0 978-3-031-58495-4