A comprehensive overview of the application of artificial intelligence in language learning

Abstract

With the rapid advancement of artificial intelligence, AI technology has made significant progress in the field of language. Machine translation has become the dominant method, replacing manual translation due to its convenience and speed. This article will discuss three different aspects: translation, information retrieval, and language artificial intelligence. In the translation section, three distinct translation models will be analyzed, using Google Translate as a foundation. These models have transformed the translation industry and improved accuracy and efficiency. In the information retrieval section, the differences between semantic search involving AI and traditional keyword-based search techniques will be explored. Semantic search, driven by AI, provides more accurate and relevant search results by understanding the context and intent behind user queries. The impact of these advancements on search engine optimization (SEO) practices will also be discussed. Furthermore, the article will delve into the types of speech recognition and classify speech recognition technologies. Finally, the article will summarize the entire content and provide an outlook on future developments.