Translation Pair

Translation pairs, representing corresponding words or phrases in two languages, are fundamental to machine translation and cross-lingual understanding. Current research focuses on improving the automatic generation and utilization of these pairs, particularly in low-resource settings, using techniques like in-context learning with large language models and innovative input reformulations to enhance model training efficiency. These advancements aim to improve the accuracy and efficiency of machine translation systems, impacting fields ranging from multilingual communication to cross-cultural information access.