HS Informatics Exam 2025 – 400 Free Practice Questions to Pass the Exam

The term that describes the analysis of language in Artificial Intelligence is Natural Language Processing (NLP). NLP is a field that focuses on the interaction between computers and humans through natural language, allowing machines to understand, interpret, and respond to human language in a valuable way. This involves a range of tasks such as speech recognition, sentiment analysis, language translation, and text summarization.

NLP employs various techniques from linguistics, computer science, and artificial intelligence to analyze the structure, meanings, and contexts of language. This is crucial for applications that require machines to process human language effectively, such as chatbots, search engines, and virtual assistants.

In contrast, machine translation specifically refers to the automated conversion of text from one language to another, natural language generation focuses on producing human-like text from computational processes, and machine learning involves algorithms that allow systems to learn from data without explicit programming. While all these fields are interconnected and may involve aspects of language processing, none encompass the broader scope of analyzing language as effectively as Natural Language Processing does.