Low-Resource Languages Courses and Certifications

GAIA

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

Explore p-tuning, a prompt-learning method for adapting LLMs to low-resource languages. Learn to enhance NLP task performance using NVIDIA NeMo's continuous multitask learning of virtual prompts.

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

Center for Language & Speech Processing(CLSP), JHU

Speech Processing for Low Resource Scenarios with SpeechBrain II

Explore advanced speech processing techniques for low-resource languages using SpeechBrain in this comprehensive tutorial covering practical implementation strategies.

• YouTube
• 2 hours 7 minutes
• On-Demand
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Speech Processing for Low Resource Scenarios I - Day 8

Discover speech processing techniques for low-resource languages and scenarios through comprehensive slides covering fundamental approaches and methodologies.

• YouTube
• 2 hours 24 minutes
• On-Demand
• Free Video

VinAI

SeaLLMs - Large Language Models for Southeast Asia

Explore SeaLLMs, innovative language models focusing on Southeast Asian languages. Learn about their superior performance in linguistic tasks and instruction-following capabilities for non-Latin languages.

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

Nvidia

How To Adapt AI for Low-Resource Languages with NVIDIA Nemotron

Explore advanced language model adaptation for low-resource languages using NVIDIA's Nemotron architecture and NeMo framework, featuring Hebrew model development practices.

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

Trelis Research

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

Learn to fine-tune Llama 3 on Wikipedia datasets for low-resource languages. Master dataset creation, LoRA setup, blending techniques, and parameter optimization for improved language model performance.

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

Center for Language & Speech Processing(CLSP), JHU

MITRA - Machine Translation and Language Analysis for Premodern Asian Low Resource Languages

Explore how the Dharmamitra project develops language models for classical Asian languages, offering solutions from basic NLP tasks to advanced translation and chatbot interactions.

• YouTube
• 1 hour 6 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

Center for Language & Speech Processing(CLSP), JHU

Multilingual and Code-Switching Speech Recognition

Explore advanced techniques for multilingual and code-switching speech recognition, focusing on Arabic, English, and low-resource languages. Develop practical LVCSR systems and novel evaluation methods.

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

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

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

Data Science Conference

SilkRoad: A Multilingual Communication Platform

Explore SilkRoad, a multilingual AI platform preserving endangered languages through advanced LLMs, speech recognition, and innovative training techniques for low-resource languages, while examining distributed computing networks for global AI collaborat…

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

Center for Language & Speech Processing(CLSP), JHU

Managing an ASR Project - From Data to Delivery

Explore practical ASR deployment challenges from data collection to model training, covering privacy, low-resource languages, streaming systems, and scalability decisions.

• YouTube
• 2 hours 37 minutes
• On-Demand
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Speech Processing for Low Resource Scenarios with SpeechBrain - Day 8 Afternoon

Dive into advanced speech processing techniques for low-resource languages using SpeechBrain in this hands-on lab session with expert Dr. Salima Mdhaffar.

• YouTube
• 2 hours 7 minutes
• On-Demand
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Speech Processing for Low Resource Scenarios I - Day 8 Morning

Explore speech semantic tasks and text-to-speech systems for low-resource languages with expert Dr. Salima Mdhaffar from Avignon University in this comprehensive tutorial session.

• YouTube
• 2 hours 26 minutes
• On-Demand
• Free Video