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Lexical Semantics is a branch of Natural Language Processing (NLP) that focuses on the meaning of words and phrases. It is concerned with the relationships between words and how they are used in context. Lexical Semantics is used to create models that can interpret the meaning of words and phrases in a given context. These models can be used to improve the accuracy of NLP applications such as machine translation, text summarization, and question answering.
Lexical Semantics is a growing market, with many companies offering solutions for NLP applications. These companies include Google, Microsoft, IBM, Amazon, and Apple, as well as smaller startups such as Linguamatics, Semantria, and Lexalytics. These companies provide a range of services, from developing custom NLP models to providing pre-trained models for use in applications. Show Less Read more
