Parallel Corpus Mining

Parallel Corpus Mining is an important task in the field of natural language processing, aimed at automatically identifying and extracting parallel sentence pairs from large-scale text data, i.e., sentences that are translations of each other. The goal of this task is to build high-quality bilingual aligned corpora to support applications such as machine translation, cross-lingual information retrieval, and language model training, thereby enhancing the performance and efficiency of multilingual processing systems.