👉 Dictionary engineering is a specialized field within natural language processing (NLP) that focuses on the design, construction, and optimization of dictionaries for various NLP tasks. It involves creating structured vocabularies that enhance the performance of language models and other NLP systems by incorporating domain-specific terms, synonyms, antonyms, and contextual relationships between words. This process can include techniques like word embedding creation, where words are mapped to high-dimensional vectors capturing their semantic meanings, and the development of specialized lexicons for tasks such as sentiment analysis, machine translation, or information retrieval. By tailoring dictionaries to specific contexts, dictionary engineering aims to improve the accuracy, efficiency, and relevance of NLP applications.
