Chakravarthi / B / García Cumbreras | Speech and Language Technologies for Low-Resource Languages | Buch | 978-3-031-58494-7 | sack.de

Buch, Englisch, 460 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 715 g

Reihe: Communications in Computer and Information Science

Chakravarthi / B / García Cumbreras

Speech and Language Technologies for Low-Resource Languages

Second International Conference, SPELLL 2023, Perundurai, Erode, India, December 6-8, 2023, Revised Selected Papers
2024
ISBN: 978-3-031-58494-7
Verlag: Springer Nature Switzerland

Second International Conference, SPELLL 2023, Perundurai, Erode, India, December 6-8, 2023, Revised Selected Papers

Buch, Englisch, 460 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 715 g

Reihe: Communications in Computer and Information Science

ISBN: 978-3-031-58494-7
Verlag: Springer Nature Switzerland


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.

Chakravarthi / B / García Cumbreras Speech and Language Technologies for Low-Resource Languages jetzt bestellen!

Zielgruppe


Research

Weitere Infos & Material


.- 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.



Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.