BPE Vocabulary

Byte-Pair Encoding (BPE) is a subword tokenization algorithm widely used in natural language processing to handle out-of-vocabulary words and improve the efficiency of language models. Current research focuses on optimizing BPE vocabulary creation, including techniques for refining the vocabulary during training and addressing the impact of vocabulary trimming on model performance. These efforts aim to enhance the efficiency and accuracy of language models, particularly in machine translation and multilingual applications, by finding optimal balances between vocabulary size, model performance, and memory usage.