Universal Language Modelling agent
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.
Code (0)
등록된 구현이 없습니다.
Tasks
Language ModellingWord TranslationSimilar Papers 제목 키워드 기반
Re-framing Incremental Deep Language Models for Dialogue Processing with Multi-task Learning
We present a multi-task learning framework to enable the training of one universal incremental dialogue processing model with four tasks of disfluency detection, language modelling, part-of-speech tagging, and utterance …
Language ModellingMulti-Task LearningPart-Of-Speech TaggingQKSA: Quantum Knowledge Seeking Agent
In this article we present the motivation and the core thesis towards the implementation of a Quantum Knowledge Seeking Agent (QKSA). QKSA is a general reinforcement learning agent that can be used to model classical and…
Artificial LifeGeneral Reinforcement LearningvalidTrajAgent: An Agent Framework for Unified Trajectory Modelling
Trajectory modeling, which includes research on trajectory data pattern mining and future prediction, has widespread applications in areas such as life services, urban transportation, and public administration. Numerous …
Future predictionLanguage ModelingLanguage ModellingLarge Language Model+1Fairness and Deception in Human Interactions with Artificial Agents
Online information ecosystems are now central to our everyday social interactions. Of the many opportunities and challenges this presents, the capacity for artificial agents to shape individual and collective human decis…
Decision MakingFairnessUniversalCEFR: Enabling Open Multilingual Research on Language Proficiency Assessment
We introduce UniversalCEFR, a large-scale multilingual multidimensional dataset of texts annotated according to the CEFR (Common European Framework of Reference) scale in 13 languages. To enable open research in both aut…