Description: The term ‘bilingual’ refers to the ability of a person to use two languages fluently, which implies not only the ability to speak and understand both languages but also the capacity to read and write in them. This competence is especially relevant in the field of natural language processing (NLP), where the goal is to develop systems that can understand and generate text in multiple languages. In the context of multilingual systems, being bilingual allows these systems to interact with users from different linguistic backgrounds, providing accurate and contextually relevant responses. Bilingual ability in NLP translates to the capacity for automatic translations, understanding cultural nuances, and adapting content for different audiences. Furthermore, the implementation of language models that operate in multiple languages is crucial for enhancing accessibility and inclusion in technology, allowing more people to benefit from digital tools. In summary, bilingualism in natural language processing and multilingual systems is an essential component for creating richer and more effective user experiences in an increasingly globalized world.
