Cross-Lingual Word Embeddings

Cross-lingual word embeddings are a technique in the field of natural language processing aimed at mapping words from different languages into the same vector space to achieve semantic alignment across languages. The core objective of this technology is to capture semantic relationships between multilingual vocabularies, thereby supporting applications such as cross-lingual information retrieval, machine translation, and multilingual text classification, significantly enhancing the performance and interoperability of NLP systems in multilingual settings.