NLP in Action: Enhancing Translation and Interpretation

Abstract

This chapter explores the transformative impact of Natural Language Processing (NLP) on translation and interpretation. It provides a comprehensive overview of NLP methodologies, including Machine Translation (MT), Speech Recognition, Text-to-Speech (TTS), and Corpus-Based Translation. The chapter highlights the advancements in Neural Machine Translation (NMT) and the integration of NLP with augmented reality (AR) for immersive interpretation experiences. It also addresses the challenges and ethical considerations in NLP, such as data privacy, bias, and fairness. By examining recent research and case studies, the chapter underscores the importance of combining NLP technologies with human expertise to achieve accurate, efficient, and culturally sensitive translations.