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Speech and Language Technologies for Low-Resource Languages

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Cover of 'Speech and Language Technologies for Low-Resource Languages'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 PolitiKweli: A Swahili-English Code-Switched Twitter Political Misinformation Classification Dataset
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    Chapter 2 Telugu Meme Dataset and Baseline System for Automatic Identification of Domain, and Troll in Memes
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    Chapter 3 SamPar: A Marathi Hate Speech Dataset for Homophobia, Transphobia
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    Chapter 4 L3Cube-MahaNews: News-Based Short Text and Long Document Classification Datasets in Marathi
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    Chapter 5 Creation and Classification of Kannada Meme Dataset: Exploring Domain and Troll Categories
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    Chapter 6 The Impact of Tamil Python Programming in Wikisource
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    Chapter 7 Natural Language Processing for Tulu: Challenges, Review and Future Scope
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    Chapter 8 DepBoost-TransNet: Boosted Transformer Network for Depression Classification
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    Chapter 9 Optimized BERT Model for Question Answering System on Mobile Platform
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    Chapter 10 A Comparative Analysis of Pretrained Models for Sentiment Analysis on Restaurant Customer Reviews (CAPM-SARCR)
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    Chapter 11 Lightweight Language Agnostic Data Sanitization Pipeline for Dealing with Homoglyphs in Code-Mixed Languages
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    Chapter 12 TextGram: Towards a Better Domain-Adaptive Pretraining
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    Chapter 13 Abusive Social Media Comments Detection for Tamil and Telugu
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    Chapter 14 Sales Forecasting from Group Conversation Using Natural Language Processing
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    Chapter 15 Hands in Harmony: Empowering Communication Through Translation
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    Chapter 16 Offensive Text Detection for Tamil Language
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    Chapter 17 Telugu-English Abusive Comment Detection Using XLMRoBERTa and mBERT
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    Chapter 18 A Knowledge Engineering Framework Addressing High Incidence of Farmer Suicides
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    Chapter 19 Event Categorization from News Articles Using Machine Learning Techniques
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    Chapter 20 From Words to Emotions: Identifying Depression Through Social Media Insights
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    Chapter 21 Text Summarisation for Low-Resourced Languages, A Review
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    Chapter 22 Multi Speaker Activity Detection Using Spectral Centroids
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    Chapter 23 Spoken Language Identification System Using Convolutional Neural Networks
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    Chapter 24 Exploring the Role of Entropy in Music Classification
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    Chapter 25 Spectral Features Based Spoken Dialect Identification for Punjabi Language
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    Chapter 26 Hate Speech Detection Using Audio in Portuguese Language
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    Chapter 27 An Empirical Analysis of the Consonantal Phonemic Patterns and Characteristics of English Spoken in India
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    Chapter 28 Multilingual Fake News Detection in Low-Resource Languages: A Comparative Study Using BERT and GPT-3.5
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    Chapter 29 Bridging the Language Gap: Transformer-Based BERT for Fake News Detection in Low-Resource Settings
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    Chapter 30 Optimized Latent-Dirichlet-Allocation Based Topic Modeling–An Empirical Study
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    Chapter 31 Gender Recognition Using ANN and Forward Rajan Transform Inclusive of Transgender Identity
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    Chapter 32 Sarcasm Detection in Tamil Code-Mixed Data Using Transformers
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    Chapter 33 Automatic Identification of Meimayakkam in Tamil Words Using Rule Based and Transfer Learning Approaches
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Title
Speech and Language Technologies for Low-Resource Languages
Published by
Springer Nature Switzerland, April 2024
DOI 10.1007/978-3-031-58495-4
ISBNs
978-3-03-158494-7, 978-3-03-158495-4
Editors

Chakravarthi, Bharathi Raja, B, Bharathi, García Cumbreras, Miguel Ángel, Jiménez Zafra, Salud María, Subramanian, Malliga, Shanmugavadivel, Kogilavani, Nakov, Preslav

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