Graham Neubig Courses

Neural Nets for NLP 2021 - Recurrent Neural Networks

Explore recurrent neural networks, bidirectional RNNs, LSTMs, and their applications in NLP. Learn about vanishing gradients, sentence modeling, and pre-training techniques for improved language processing.

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

Neural Nets for NLP - Efficiency Tricks for Neural Nets

Explore efficiency techniques for neural networks in NLP, including GPU optimization, parallel training, and softmax approximations for large vocabularies.

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

Neural Nets for NLP 2021 - Building A Neural Network Toolkit for NLP

Implement a minimal neural network toolkit for NLP, covering model definition, graph creation, forward/backward calculation, and parameter updates.

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

Neural Nets for NLP 2021 - Language Modeling, Efficiency/Training Tricks

Explore neural language models, optimization techniques, and evaluation methods for NLP. Learn about preventing overfitting, mini-batching, and measuring model performance.

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

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

CMU Multilingual NLP: Active Learning

Explore active learning in NLP, covering token and sequence-level techniques, uncertainty measures, and human effort considerations for efficient data annotation.

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

CMU Multilingual NLP 2020 - Data Annotation

Explore data annotation techniques, tools, and best practices for multilingual NLP, covering labeler selection, task definition, and quality control measures.

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

CMU Multilingual NLP - Dependency Parsing

Explore dependency parsing, its applications, and cross-lingual methods. Learn about linguistic structures, universal dependencies, and techniques for improving multilingual parsing performance.

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

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

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

CMU Multilingual NLP 2020 - Automatic Speech Recognition

Learn about automatic speech recognition, covering pronunciation, acoustic, and language modeling techniques for multilingual NLP applications.

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

CMU Multilingual NLP 2020 - Speech

Explore speech production, language differences, and speech technologies in this comprehensive overview of vocal communication and its computational applications.

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

CMU Multilingual NLP - Unsupervised Translation

Explore unsupervised machine translation techniques, including word translation, back-translation, and bidirectional modeling. Learn about initialization methods and challenges in multilingual NLP.

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

CMU Multilingual NLP 2020 - Multilingual Training and Cross-Lingual Transfer

Explore multilingual NLP techniques, including cross-lingual transfer, zero-shot adaptation, and meta-learning. Learn strategies for balancing data, improving zero-shot performance, and addressing challenges in multilingual training.

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

CMU Multilingual NLP: Language Contact and Similarity Across Languages

Explore computational models of language contact, lexical borrowing, and cross-lingual similarities in this multilingual NLP lecture on language evolution and interaction.

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