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…mehr
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.
Produktdetails
Produktdetails
Communications in Computer and Information Science 2656
Artikelnr. des Verlages: 89571250, 978-3-032-05854-6
Seitenzahl: 665
Erscheinungstermin: 11. November 2025
Englisch
Abmessung: 235mm x 155mm
ISBN-13: 9783032058546
ISBN-10: 3032058546
Artikelnr.: 75154476
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Inhaltsangabe
.- 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.
.- 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.
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