Low-Resource Languages Courses and Certifications

James Briggs

Building Transformer Tokenizers - Dhivehi NLP #1

Learn to build an effective WordPiece tokenizer for Dhivehi, a low-resource language, overcoming unique challenges in NLP application. Explore tokenizer components, implementation, and usage for this fascinating language.

• YouTube
• 33 minutes
• On-Demand
• Free Video

Graham Neubig

CMU Multilingual NLP - The LORELEI Project

Explore rapid development of low-resource information extraction in new languages, focusing on the LORELEI project's techniques, challenges, and real-world applications in disaster scenarios.

• YouTube
• 44 minutes
• On-Demand
• Free Video

Graham Neubig

CMU Multilingual NLP - Information Extraction

Explore information extraction for low-resource languages and its application in disaster response through LORELEI project, with insights on methods, results, and practical implications.

• YouTube
• 41 minutes
• On-Demand
• Free Video

Graham Neubig

CMU Multilingual NLP 2020 - Text to Speech

Explore text-to-speech systems for low-resource languages, covering analysis, pronunciation, prosody, waveform generation, and cross-lingual models. Learn efficient TTS building and multilingual challenges.

• YouTube
• 39 minutes
• On-Demand
• Free Video

Graham Neubig

CMU Multilingual NLP 2020 - Low Resource ASR

Explore low-resource ASR techniques, including lexicon-free systems, cross-lingual recognition, and speech translation. Learn innovative approaches for languages with limited data.

• YouTube
• 44 minutes
• On-Demand
• Free Video

Alfredo Canziani

Low Resource Machine Translation

Explore machine translation techniques for low-resource languages, covering evaluation methods, supervised and unsupervised learning approaches, and domain adaptation. Gain insights into Nepali-English translation case study.

• YouTube
• 1 hour 58 minutes
• On-Demand
• Free Video

1littlecoder

Build Speech Recognition for Any Language with Transformers - Finetune XLSR-Wav2Vec2 for Hindi

Step-by-step guide to fine-tune XLSR-Wav2Vec2 for low-resource Automatic Speech Recognition, demonstrated with Hindi dataset from Mozilla Common Voice using Hugging Face Transformers.

• YouTube
• 33 minutes
• On-Demand
• Free Video

Open Data Science

Generative AI for Social Good - Applications and Ethical Considerations

Explore generative AI's impact on social good, from medical imaging to language support. Learn about ethical applications in diversity training, bias detection, and enhancing communication in underrepresented languages.

• YouTube
• 25 minutes
• On-Demand
• Free Video

GAIA

P-Tuning: A Parameter Efficient Tuning to Boost LLM Performance

Découvrez comment adapter le p-tuning aux langues peu dotées, en mettant l'accent sur le suédois. Explorez les techniques d'ajustement efficace des paramètres pour améliorer les performances des grands modèles de langage.

• YouTube
• 25 minutes
• On-Demand
• Free Video

Center for Language & Speech Processing(CLSP), JHU

NLP Beyond the Top-100 Languages

Exploración de tecnologías de NLP para lenguas con recursos escasos, desafíos de nuevos idiomas y experiencias con comunidades de lenguas en peligro de extinción.

• YouTube
• 57 minutes
• On-Demand
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Multilingual Representation Distillation with Contrastive Learning

Integrating contrastive learning into multilingual representation distillation for quality estimation of parallel sentences, with applications in similarity search and corpus filtering for low-resource languages.

• YouTube
• 23 minutes
• On-Demand
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Adapting Automatic Summarization to New Sources of Information - 2019

Exploración de técnicas avanzadas de resumen automático para nuevas fuentes de información, incluyendo narrativas personales en línea y resúmenes multilingües para idiomas con pocos recursos.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Extension is All You Need - But Sometimes Good Intentions Help Too

Extension is All You Need: Exploring innovative approaches to language modeling and natural language processing, with insights on improving model performance through thoughtful extensions.

• YouTube
• 1 hour
• On-Demand
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Unleashing the Potential of Large Language Models Through Task and Data Engineering

Exploración de modelos de lenguaje grandes: potencial, desafíos y avances en ingeniería de tareas y datos para mejorar el razonamiento, la accesibilidad y el rendimiento de LLMs.

• YouTube
• 1 hour
• On-Demand
• Free Video

Trelis Research

Fine-tuning Llama 3 on Wikipedia Datasets for Low-Resource Languages

Aprenda a ajustar finamente modelos de linguagem em conjuntos de dados da Wikipédia, incluindo configuração, mistura de dados e otimização de parâmetros para melhorar o desempenho em idiomas com poucos recursos.

• YouTube
• 44 minutes
• On-Demand
• Free Video