Pronoun Translation

Pronoun translation research focuses on accurately and inclusively translating pronouns across languages, a task complicated by ambiguity, context-dependence, and evolving linguistic norms. Current research utilizes neural network architectures, particularly transformer models like BERT and variations, often incorporating techniques like counterfactual data augmentation to address biases against gender-neutral or neopronouns. This work is crucial for developing more robust and equitable natural language processing systems, impacting machine translation, coreference resolution, and broader applications requiring accurate understanding of discourse.