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Word Level Analysis Techniques in NLP

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Questions and Answers

What is the purpose of using N-grams in natural language processing?

To understand the phonetic properties of words
To analyze the relationships between words in a given context
To predict the next word in a sequence based on previous words (correct)
To break down text into individual words

What is the purpose of the backoff technique in language modeling?

To segment the text into individual sentences
To perform part-of-speech tagging on the text
To handle cases where the most probable output is incorrect (correct)
To calculate the TF-IDF scores of words in the text

Which of the following is NOT a common component involved in word-level analysis?

Backoff
Sentiment analysis (correct)
Part-of-speech tagging
N-grams

What is the purpose of phonetic hashing in word-level analysis?

To group words with similar pronunciations together (D) Signup and view all the answers

How is TF-IDF used in word-level analysis?

To measure the importance of a word in a document within a collection of documents (C) Signup and view all the answers

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

Assigning grammatical tags to words based on their roles (D) Signup and view all the answers

How does phonetic hashing contribute to improving search accuracy in speech recognition systems?

By ensuring consistent results for similar sound variations (C) Signup and view all the answers

In natural language processing, what does TF-IDF measure for a word in a document?

How unique a word is across all documents (B) Signup and view all the answers

What role does backoff play in N-grams?

Handling rare or misformed inputs in the system (B) Signup and view all the answers

How does part-of-speech tagging contribute to downstream tasks like question answering in natural language processing?

By assigning grammatical tags to words for semantic understanding (A) Signup and view all the answers

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