Which process deals with determining the correct meaning of a word in context?

The process that specifically deals with determining the correct meaning of a word in context is known as Word Sense Disambiguation. This is crucial in natural language processing (NLP) and understanding text, as many words can have multiple meanings depending on their context. For instance, the word "bank" can refer to a financial institution or the side of a river.

Word sense disambiguation utilizes various techniques, such as contextual clues, surrounding words, and even machine learning algorithms, to ascertain which meaning is applicable in a given scenario. This process is essential for applications like search engines, chatbots, and translation services, where correct interpretation is vital for meaningful communication.

In contrast, sentence structure analysis focuses on the grammatical arrangement of words within a sentence, semantic parsing involves mapping the meaning of sentences to a structured representation, and lexical analysis is concerned with breaking down text into words or tokens to facilitate further processing. However, none of these processes specifically address the interpretation of a word's meaning in a particular context as effectively as Word Sense Disambiguation does.