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Fig. 4.1.6 An overview of Natural Language Processing

Speech recognition technology and natural The use of artificial intelligence in language
language processing are often used to create learning and translation has already made sig-
more advanced applications, such as voice nificant advancements, with platforms like
assistants that can understand and respond to Duolingo and Babbel providing personalised
complex commands or chatbots that provide language instruction using AI algorithms.
customer service in natural language. These These platforms use machine learning to adapt
technologies have the potential to revolutionise to the user’s learning style and pace, making
the way we interact with technology and make the learning experience more efficient and
it more accessible and intuitive for everyone. engaging. Additionally, AI-powered transla-
tion tools such as Google Translate and DeepL
4�1�5 Future Possibilities of Technol- are becoming increasingly accurate, provid-
ogy in Language ing more nuanced translations and improving
cross-cultural communication.

Fig 4.1.7 The functioning of Google Translate

Virtual and augmented reality technologies providing an interactive and engaging way to
are also transforming language learning and learn and practice language skills. For exam-
cross-cultural communication. These technol- ple, language learners can practice speaking
ogies allow users to immerse themselves in skills by interacting with virtual native speak-
different language and cultural environments, ers, while travellers can navigate foreign cities

150 SGOU - FYUGP - SLM - English for Communication