Lemmatizing is the process of reducing words to their base or root form, known as the lemma. This is often done in natural language processing to simplify text analysis and improve accuracy by grouping together different forms of a word. For example, the lemma of "running" would be "run" and the lemma of "better" would be "good".
so, more than just removing pluralization?
Yes, lemmatizing goes beyond just removing pluralization. It involves reducing words to their base or root form, which can involve removing suffixes, prefixes, and other variations to get to the simplest form of the word. This helps in standardizing words so that different forms of the same word are treated as the same, making text analysis more accurate and efficient.
Does this mean that in something like Obsidian, if you made a page for each lemma, you'd end up with a kind of glossary or maybe taxonomy?
Yes, creating a page for each lemma in a tool like Obsidian could potentially result in a glossary or taxonomy of sorts. By organizing information based on lemmas, you are essentially grouping together related words and concepts under their base form. This can help in creating a structured and interconnected knowledge base where related terms are linked together and easily accessible for reference and exploration. It can also aid in better understanding the relationships between different words and concepts within a body of text.
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