WSD stands for "word sense disambiguation," which is the task of determining the meaning of a word in context. Synonyms for WSD include "lexical disambiguation," "semantic disambiguation," and "sense tagging." These terms are often used interchangeably to describe the process of distinguishing between different possible meanings of a word based on the surrounding text. There are several approaches to WSD, including supervised and unsupervised machine learning, rule-based methods, and hybrid approaches that combine multiple techniques. WSD is a crucial component of natural language processing and has many practical uses, such as improving machine translation and speech recognition systems.