POS tagging
POS tagging is the practice of attributing grammatical labels, such as nouns, verbs, adjectives, and others, to individual words within a sentence. This tagging process holds significance as a foundational step in various NLP tasks, including text classification, sentiment analysis, and machine translation.
POS tagging can be performed using different approaches such as rule-based methods, statistical methods, and deep learning-based methods. In this section, we’ll provide a brief overview of each approach.
Rule-based methods
Rule-based methods for POS tagging involve defining a set of rules or patterns that can be used to automatically tag words in a text with their corresponding parts of speech, such as nouns, verbs, adjectives, and so on.
The process involves defining a set of rules or patterns for identifying the different parts of speech in a sentence. For example, a rule may state that any word ending in “-ing” is a gerund (a verb...
