Cross-Lingual Semantic Textual Similarity

Cross-lingual semantic textual similarity (CLSTS) is an important research direction in the field of natural language processing, aiming to measure the semantic similarity between texts in different languages. CLSTS achieves semantic understanding and comparison of texts across languages by constructing a multilingual semantic space, thereby supporting applications such as cross-lingual information retrieval, machine translation quality evaluation, and cross-lingual sentiment analysis, enhancing the efficiency and accuracy of cross-lingual communication and information sharing.