Speech and Language Technologies for Low-Resource Languages

TRAMA

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.

SOMMARIO

.- 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.

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9783031584947
• Collana: Communications in Computer and Information Science
• Dimensioni: 235 x 155 mm
• Formato: Brossura
• Illustration Notes: XIV, 460 p. 272 illus., 130 illus. in color.
• Pagine Arabe: 460
• Pagine Romane: xiv