Podcast
Questions and Answers
What is the purpose of tokenization in natural language processing?
What is the purpose of tokenization in natural language processing?
- Dividing the context into a set of sentences
- Determining the lexical category of the word based on its meaning in the context
- Splitting the sentence into a set of tokens/words based on spaces (correct)
- Identifying the syntactic structure of the text
What is a challenge in tokenization in natural language processing?
What is a challenge in tokenization in natural language processing?
- Dividing the context into a set of sentences
- Lack of spaces between words in languages like Japanese and Chinese (correct)
- Finding the maximum length of letters to form an understood meaning
- Identifying the syntactic structure of the text
What is the purpose of sentence segmentation in natural language processing?
What is the purpose of sentence segmentation in natural language processing?
- Dividing the context into a set of sentences using ML algorithms (correct)
- Determining the lexical category of the word based on its meaning in the context
- Dividing the sentence into a set of tokens/words based on spaces
- Identifying the syntactic structure of the text
What does POS tagging aim to determine in natural language processing?
What does POS tagging aim to determine in natural language processing?
Which step of the traditional NLP pipeline involves identifying Named Entities within the text?
Which step of the traditional NLP pipeline involves identifying Named Entities within the text?
What is one of the purposes of using ML algorithms for sentence segmentation?
What is one of the purposes of using ML algorithms for sentence segmentation?
What is the main focus of POS tagging?
What is the main focus of POS tagging?
Which type of word reduction removes all affixes to reduce the word to its stem?
Which type of word reduction removes all affixes to reduce the word to its stem?
What is the purpose of Name Entity Recognition (NER)?
What is the purpose of Name Entity Recognition (NER)?
What is the role of Lemmatization in word processing?
What is the role of Lemmatization in word processing?
What technique aids in word disambiguation by reducing words to their roots?
What technique aids in word disambiguation by reducing words to their roots?
Which factor is considered in POS tagging for word disambiguation?
Which factor is considered in POS tagging for word disambiguation?
Which technology is NOT supported by Spacy for word processing?
Which technology is NOT supported by Spacy for word processing?
What is the percentage accuracy limit of current models for POS tagging?
What is the percentage accuracy limit of current models for POS tagging?
Which part of speech is NOT classified under Closed POS Classes?
Which part of speech is NOT classified under Closed POS Classes?
What is the focus of Closed vs. Open POS Classes?
What is the focus of Closed vs. Open POS Classes?
