Mohammad Amin Ghanizadeh

Dynamic Jointly Batch Selection for Data Efficient Machine Translation Fine-Tuning

Data quality and its effective selection are fundamental to improving the performance of machine translation models, serving as cornerstones for achieving robust and reliable translation systems. This paper presents a data selection methodology specifically designed for fine-tuning machine translati