- Supervised Learning
- Classification
- Regression
- Time Series Forecasting
- Unsupervised Learning
- Clustering
- K-Means Clustering
- Hierarchical Clustering
- Semi-Supervised Learning
- Reinforcement Learning(ML)
- Deep Learning(ML)
- Transfer Learning(ML)
- Ensemble Learning
- Explainable AI (XAI)
- Bayesian Learning
- Decision Trees
- Support Vector Machines (SVMs)
- Instance-Based Learning
- Rule-Based Learning
- Neural Networks
- Evolutionary Algorithms
- Meta-Learning
- Multi-Task Learning
- Metric Learning
- Few-Shot Learning
- Adversarial Learning
- Data Pre Processing
- Natural Language Processing(ML)
Natural Language Processing QUIZ QUESTIONS
Question: 1
What is the primary focus of "NLP for Low-Resource Languages"?
Question: 2
Why are low-resource languages challenging for NLP?
Question: 3
What is "zero-shot cross-lingual transfer" in NLP for Low-Resource Languages?
Question: 4
In NLP for Low-Resource Languages, what is "code-switching"?
Question: 5
What is "language identification" in NLP for Low-Resource Languages used for?
Question: 6
What is "low-resource machine translation" primarily focused on?
Question: 7
What is "transfer learning" in NLP for Low-Resource Languages?
Question: 8
In NLP for Low-Resource Languages, what is "zero-shot language modeling"?
Question: 9
What is "crowdsourcing" often used for in NLP for Low-Resource Languages?
Question: 10
What is "glossing" in NLP for Low-Resource Languages?
Question: 11
What is the main purpose of "language revitalization" efforts in NLP for Low-Resource Languages?
Question: 12
What is "morphological analysis" in NLP for Low-Resource Languages used for?
Question: 13
What is "crowdsourced language documentation" focused on in NLP for Low-Resource Languages?
Question: 14
What is "orthography development" in NLP for Low-Resource Languages?
Question: 15
What is "low-resource speech recognition" primarily concerned with in NLP for Low-Resource Languages?