Speech and Language Technologies for Low-Resource Languages
Description
This book constitutes the revised selected papers of the Third International Conference on Speech and Language Technologies for Low-Resource Languages, SPELLL 2024, held in Chennai, India, during December 4-6, 2024.
The 44 full papers and 11 short papers included in these conference proceedings were carefully reviewed and selected from 120 submissions.They are divided into the following topical sections : Speech Processing and Spoken Language Understanding; Syntax, Semantics and Pragmatics; Advancements in Multilingual NLP: Resources,Processing, and Generation; Multimodality and Language Grounding to Vision and Robotics; Sentiment Analysis and Language-Specific Applications; Misinformation, Bias, and Mental Health Detection; Workshop 1: Workshop on Multimodal Machine Learning in Low-Resource Languages (MMLow 2024);Workshop 2: Workshop on Low Resource Cross Domain, Cross Lingual, Cross Modal Content Analysis -Multimedia and Generative AI; Workshop 3: Workshop on Fake News Detection in Low-Resource Languages.
More details
Other editions
Additional editions
Content
.- Speech Processing and Spoken Language Understanding.
.- A Comprehensive Malayalam Speech Database for Forensic Speaker Profiling and Authentication in Varied Acoustic Environments.
.- Towards End-To-End Speech Synthesis for Tigrinya Language.
.- An Effective LSTM - Autoencoder approach with Acoustic Features in Indian Classical Music Raga Recognition.
.- Automatic Assessment of Pathological Voice Quality using Machine Learning Approaches.
.- Audio to Text Conversion using Deep Learning.
.- Comparative Analysis of Speaker Diarization Results on Multi-LingualMulti Speaker Data and Single Speaker Data.
.- Enhancing End-to-End Malayalam Automatic Speech Recognition with Language Model Augmentation.
.- Developing Bodo Speech Recognition with Kaldi.
.- Syntax, Semantics and Pragmatics.
.- A Deep Learning Based Approach to Detect Paraphrase in Healthcare.
.- Enhancing Machine Translation Performance: A Comparative Study of Fine Tuning the MBart-mmt Model.
.- Translation of Sanskrit (shlokas) -Malayalam Using Deep Learning Techniques.
.- A Novel Multilingual Human-AI Collaborative Writing Tool for Indian Languages.
.- Advancements in Multilingual NLP: Resources, Processing, and Generation.
.- TamilFacts: A Comprehensive Multimodal Dataset of Fact-Checked Social Media Content in Tamil Language.
.- A Comparative Study of Sentiment Analysis using Transformer Models and Text Augmentation Techniques for Bangla Text.
.- Towards Automated Sanskrit Writing Correction: Evaluation on Large Language Models.
.- Optimizing Tamil News Headline Generation with LoRA Techniques: Insights and Challenges.
.- Corpus Creation for Racial Hoax in Code-Mixed Hindi-English Low Resource Text.
.- Machine Learning Approaches for Tamil POS Tagging and Dependency Parsing.
.- Multimodality and Language Grounding to Vision and Robotics.
.- Empowering Consumers Through Advanced Technology:A Streamlit Web App Enabled Solution Leveraging OCR and BERT for Understanding Packaged Food Ingredients.
.- Captioning-based Zero-Shot Visual Question Answering System.
.- Enhancing Facial Emotion Recognition through Fine-tuning Vision Transformer Models.
.- Optimizing OCR Model Performance : A Comparative Study ofBackbone Architectures and Hyperparameter Tuning.
.- DravLangGuard: A Multimodal Approach for Hate Speech Detection in Dravidian Social Media.
.- Multimodal Approaches to Speech Emotion Recognition.
.- Sentiment Analysis and Language-Specific Applications.
.- Sentiment Analysis on E-Commerce Based Product Reviews using Machine Learning Algorithms.
.- Aspect-Based Sentiment Analysis.
.- Detecting Hate Speech Towards the LGBT+ Population in Mexican Spanish Using Transformer Architectures.
.- Kannada Stance Detection: Comparative Analysis of TF-IDF and BERT Embeddings with Traditional Classifiers.
.- Enhancing COVID-19 Tweet Analysis with Transformer Hybrid Models.
.- Misinformation, Bias, and Mental Health Detection.
.- Explainable Approach Towards Fake News Detection in Malayalam using Hybrid Deep Learning Model.
.- Fake News Detection in Hindi using Feature Fusion.
.- Stress Identification in Telugu Using Large Language Models.
.- AI Techniques for Detecting Depression in Social Media A Deep Learning and Transformer Approach.
.- Multilingual Claim Span Identification using DaBERTa
.
.- Workshop 1: Workshop on Multimodal Machine Learning in Low-Resource Languages (MMLow 2024).
.- Medical Image Captioning in Tamil using BLIP Model.
.- Improving Malayalam Word Sense Disambiguation by exploiting various semantic features and vectorization method.
.- Overruling Legal Sentence in Law using Domain Pre-trained BERT Variants.
.- Textual Sarcasm Detection from Low-Resource Dravidian Languages using Deep Learning Techniques.
.- Workshop 2: Workshop on Low Resource Cross Domain, Cross Lingual, Cross Modal Content Analysis -Multimedia and Generative AI.
.- Automatic Correction of Disfluencies in Tamil Disfluent Text: A Rule-based Approach.
.- Isolated Word Recognition in Malayalam using the Wavelet Scattering Transform and CNN.
.- Workshop 3: Workshop on Fake News Detection in Low-Resource Languages.
.- Fake News Detection in Dravidian Languages Using Transformers and Ensembles.
.- Fake News Detection in Dravidian Languages: Comparative Analysis of Transformer Models, Ensemble Techniques, Traditional Classifiers, and Sentiment Influence on Prediction Performance.
.- Fake News Detection using Multilingual BERT for English and Tamil Language.
.- A Comparative Study of LLM-Based Techniques for Fake News Classification in Tamil.