Before a machine can do anything meaningful with language — translate it, classify it, generate more of it — it first has to break that language apart. That’s the job of **[tokenization](https://www.moveworks.com/us/en/resources/ai-terms-glossary/tokenization)**: splitting text into smaller, meaningful units called tokens, which might be whole words, fragments of words, individual characters, or even full sentences, depending … Continue reading “Tokenization: How NLP Breaks Down and Rebuilds Text”
Understanding Causativity Causativity is a fundamental linguistic concept describing a situation in which one participant or event brings about another event or change of state. Human languages have developed numerous grammatical strategies for representing this relationship, making causatives an important area of research in syntax, semantics, morphology, linguistic typology, and natural language processing. A simple … Continue reading “Types of Causatives: Lexical and Periphrastic Constructions”

