Sentence Alignment

Sentence alignment, the task of identifying corresponding sentences in parallel texts (e.g., translations or different versions of the same document), is crucial for various natural language processing applications. Current research focuses on improving alignment accuracy and efficiency, particularly for low-resource languages and large documents, employing techniques like bilingual sentence embeddings, divide-and-conquer algorithms, and generative models alongside contrastive learning. These advancements enhance the quality of parallel corpora, which are essential for tasks such as machine translation, cross-lingual information retrieval, and text simplification, ultimately impacting the development of more robust and multilingual NLP systems.