What are Bigrams?
In a sequence of text, bigrams are pairs of consecutive words or tokens. Bigrams allow us to see which words commonly co-occur within a given dataset, which can be particularly useful for:
- Predictive text and autocomplete features, where the next word is predicted based on the previous word.
- Speech recognition systems to improve accuracy by considering two words at a time.
- Information retrieval systems to enhance search accuracy.
Generate bigrams with NLTK
Bigrams, or pairs of consecutive words, are an essential concept in natural language processing (NLP) and computational linguistics. Their utility spans various applications, from enhancing machine learning models to improving language understanding in AI systems. In this article, we are going to learn how bigrams are generated using NLTK library.
Table of Content
- What are Bigrams?
- How Bigrams are generated?
- Generating Bigrams using NLTK
- Applications of Bigrams
- FAQs on Bigrams in NLP