ML Mastery

Understanding Morphology in NLP: Morphemes, Stemming, Lemmatization & Lexicon Explained Morphology in NLP: Breaking Words to Make Machines Smarter A Deep Dive by Sasi | Explaining Morphemes, Stemming, Lemmatization, and Lexicons Hey everyone 👋! Let’s dive deeper into something we all take for granted in language: word structure . In NLP, we call this study morphology . This post is all about how computers can break down and understand words—just like humans do—with the help of four key tools: Morphemes Stemming Lemmatization Lexicon 1. Morphemes – The Building Blocks 🧱 A morpheme is the smallest unit in a word that carries meaning. These include roots like “run”, prefixes like “un-”, and suffixes like “-ing”. Let’s look at an example: "unbelievably" → "un" (negation) + "believe" (root) + "able" (capable of) + "ly" (manner) Understanding morphe...

Understanding Morphology in NLP: The Key to Word-Level Language Intelligence Understanding Morphology in NLP A Deep Dive into Telugu vs English Morphological Patterns TL;DR This post introduces Morphology in NLP using real language examples (Telugu vs English). Learn how word forms change and how machines understand them. Welcome to the fascinating world of morphology in Natural Language Processing! Today, we're diving deep into how different languages structure their words, and why this matters immensely for building intelligent language systems. What is Morphology? Morphology is the study of word structure - how words are formed and how they change their forms to express different meanings. In NLP, understanding morphology is crucial because it helps machines recognize relationships between different word forms and extract meaningful information from text. Think of morpheme...