Question

Hidden Markov model can be used for: A. Speech recognition, B. Natural language processing, C. Predicting weather, D. Hand writing recognition, E. Finance.

• A. A, B, C and D only
• B. B, C and D only
• C. A, B, C, D and E
• D. A and E only

Hint:

Hidden Markov Models are useful wherever hidden states and observable sequences are involved, such as speech, NLP, weather, handwriting, and finance.

Answer 1

The Correct Option is C

Concept:
Hidden Markov Model is a statistical model used for systems where the actual state is hidden, but observable outputs are available. It is useful in sequence-based prediction problems.

Step 1: Speech recognition.
Speech signals occur as sequences over time. Hidden Markov Models are used to model phonemes and speech patterns. \[ A \text{ is correct} \]

Step 2: Natural language processing.
Natural language processing often deals with sequences of words. HMMs are used in tagging, parsing, and language modeling. \[ B \text{ is correct} \]

Step 3: Weather prediction.
Weather has hidden states and observable conditions. HMMs can model such probabilistic transitions. \[ C \text{ is correct} \]

Step 4: Handwriting recognition.
Handwriting recognition is also sequence-based and can be modeled using HMMs. \[ D \text{ is correct} \]

Step 5: Finance.
Financial markets often have hidden states such as bullish, bearish, or stable trends. HMMs can be used to model such hidden states. \[ E \text{ is correct} \] Therefore: \[ A,\ B,\ C,\ D \text{ and } E \] \[ \therefore \text{Correct Answer is (C)} \]