Part of Speech Tagging in NLP

What is the primary purpose of Part-of-Speech (POS) tagging in natural language processing (NLP)?

• A. Enhancing image recognition

• B. Labeling words with corresponding POS

• C. Generating random text

• D. Calculating numerical values

Which method considers dictionaries to find the base form of a word, including inflections or variations?

• A. Stemming

• B. Rule-based tagging

• C. Hidden Markov Model (HMM)

• D. Lemmatization

What is Named Entity Recognition (NER) focused on in natural language processing?

• A. Identifying grammatical structures

• B. Labeling words with POS

• C. Recognizing and classifying entities

• D. Transforming tags based on context

Which algorithm is commonly used in Hidden Markov Model (HMM) POS tagging to determine the most likely sequence of POS tags?

• A. Bayesian algorithm

• B. Naive Bayes algorithm

• C. Viterbi algorithm

• D. K-means algorithm

What challenge is associated with Out-of-vocabulary (OOV) words in POS tagging?

• A. Words not present in training data

• B. Lack of annotated training data

• C. Ambiguity in word meanings

• D. Inconsistencies in annotated data