Natural Language Processing Natural Language Processing MCQ 2

Question 1

Which algorithm is used in the Viterbi decoding process for Hidden Markov Models in NLP?

Accepted Answer

Dynamic programming

Answer

Viterbi decoding uses dynamic programming to efficiently find the most probable sequence of hidden states in an HMM.

Question 2

What does the BLEU score measure in NLP?

Accepted Answer

Machine translation quality

Answer

BLEU (Bilingual Evaluation Understudy) measures machine translation quality by comparing n-gram overlaps with reference translations.

Question 3

In the context of word embeddings, what is the primary advantage of FastText over Word2Vec?

Accepted Answer

Handles out-of-vocabulary words using subword information

Answer

FastText decomposes words into character n-grams, allowing it to generate embeddings for words not seen during training.

Question 4

What is the main purpose of the CRF (Conditional Random Field) layer commonly added on top of BERT for sequence labeling tasks?

Accepted Answer

To model dependencies between consecutive output labels

Answer

CRF models global label sequence dependencies, ensuring predictions like B-I-O tagging constraints are respected across tokens.

Question 5

Which technique is used in BPE (Byte Pair Encoding) tokenization?

Accepted Answer

Iteratively merging the most frequent character pairs into subword units

Answer

BPE starts with characters and repeatedly merges the most frequent adjacent pair until a target vocabulary size is reached.

Natural Language Processing Practice Test