WorksheetsAI quiz 25th sept
Total questions: 15
Worksheet time: 3mins
NLU (Natural Language Understanding) mainly focuses on:
Grammar correction
Machine understanding of intent and meaning
Generating natural-sounding text
Translating from one programming language to another
In ML, the process of splitting data into training, validation, and testing is done to:
Make the dataset smaller
Avoid overfitting and evaluate model performance
Increase accuracy artificially
None of the above
Is NLP = NLU + NLG.
Stemming is used to:
Reduce words to their root form
Split sentences
Detect sentiment
Count word frequency
Reinforcement learning trains an agent using:
Rewards and penalties
Labeled datasets
Stop words
Clustering algorithms
Backpropagation in neural networks is used to:
Initialize weights randomly
Split data into train/test
Update weights by calculating error gradients
Generate output text
The error in backpropagation is calculated as difference between actual output and predicted output
Backpropagation is only used in deep learning, not in basic ML.
Without activation functions, neural networks behave like linear models
Are probabilities an equally important part of NLP ?
Sigmoid activation outputs values in the range:
-1 to 1
0 to 1
0 to ∞
-∞ to ∞
Word embeddings help computers understand semantic similarity between words.
A token is:
Always one word
A unit of text
Only punctuation
Always a sentence
which of the following is an application of NLP
Keyword Searching
Machine Translation
Word Augmentation
Parts of Speech Tagging
Stemming and Lemmatization always give the same root word.
