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?

    <p>To group words with similar pronunciations together</p> Signup and view all the answers

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

    <p>To measure the importance of a word in a document within a collection of documents</p> Signup and view all the answers

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

    <p>Assigning grammatical tags to words based on their roles</p> Signup and view all the answers

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

    <p>By ensuring consistent results for similar sound variations</p> Signup and view all the answers

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

    <p>How unique a word is across all documents</p> Signup and view all the answers

    What role does backoff play in N-grams?

    <p>Handling rare or misformed inputs in the system</p> Signup and view all the answers

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

    <p>By assigning grammatical tags to words for semantic understanding</p> Signup and view all the answers

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