Universal Language Modelling agent
Anees Aslam
Large Language Models are designed to understand complex Human Language. Yet,
Understanding of animal language has long intrigued researchers striving to
bridge the communication gap between humans and other species. This research
paper introduces a novel approach that draws inspiration from the linguistic
concepts found in the Quran, a revealed Holy Arabic scripture dating back 1400
years. By exploring the linguistic structure of the Quran, specifically the
components of ism, fil, and harf, we aim to unlock the underlying intentions
and meanings embedded within animal conversations using audio data. To unravel
the intricate complexities of animal language, we employ word embedding
techniques to analyze each distinct frequency component. This methodology
enables the identification of potential correlations and the extraction of
meaningful insights from the data. Furthermore, we leverage a bioacoustics
model to generate audio, which serves as a valuable resource for training
natural language processing (NLP) techniques. This Paper aims to find the
intention* behind animal language rather than having each word translation.