Bilingual Dictionary

Bilingual dictionaries are crucial resources for machine translation and cross-lingual understanding, particularly for low-resource languages lacking extensive parallel corpora. Current research focuses on leveraging large language models (LLMs) and graph-based methods to automatically generate and improve bilingual lexicons, often incorporating word embeddings and semantic similarity measures to enhance accuracy and efficiency. This work addresses the significant challenge of data scarcity in many languages, impacting fields like machine translation, natural language processing, and the preservation of endangered languages by enabling the creation of new lexical resources and improving existing ones.