Word Frequency

Word frequency analysis investigates how often words appear in text or speech, aiming to understand its impact on language processing and various applications. Current research focuses on leveraging word frequency data from diverse sources like YouTube subtitles to improve models of language comprehension, automatic speech recognition, and even grammar error correction, often employing techniques like linear regression and advanced language models such as GPT-4. These studies reveal that word frequency is a crucial factor influencing model performance and human language processing, impacting areas such as lexical decision times, reading comprehension, and bias detection in word embeddings. Understanding these frequency effects has significant implications for improving natural language processing technologies and advancing our understanding of human cognition.