In Natural Language Processing (NLP) and computational linguistics, what is the standard sequential processing pipeline order?
In Natural Language Processing (NLP) and computational linguistics, what is the standard sequential processing pipeline order?
Multiple Choice Options
- A✓ Correct Option
Tokenization → POS (Part-of-Speech) Tagging → Syntactic Parsing → Semantic Analysis
- B
Parsing → Tokenization → Chunking → Named Entity Recognition
- C
Semantic Analysis → Tokenization → Sentiment Analysis
- D
Chunking → POS Tagging → Tokenization → Coreference Resolution
Detailed Technical Solution & Explanation
The classical standard NLP processing pipeline advances hierarchically from raw lexical tokens to deep semantics:
1. Tokenization: Splitting raw text strings into discrete word/symbol tokens.
2. POS Tagging: Assigning grammatical parts of speech (noun, verb, adjective) to each token.
3. Syntactic Parsing: Constructing parse trees representing grammatical structure.
4. Semantic Analysis: Extracting logical contextual meaning and entity relationships.