The Integration of Data Science and Bilingual Information Processing for Advancing the Scientific Understanding of Artificial Intelligence

EasyChair Preprint 14185

Abstract

This paper aims to introduce the theory of data science and language science and their common principles are the scientific principles of AGI integrated platform through bilingual information processing rule-based, statistics-based and typical examples-based of frequently asked questions  and help files. The method is as follows: firstly, standard questions's answer and professional question answer between doctors and patients are selected, and spoken language and written language are distinguished; furthermore, using AI assistant to provide answers to common questions and help files; finally, by means of machine learning and reinforcement learning, the daily conversations between doctors and patients are repeatedly trained to compare standard questions's answers with professional questions, so as to continuously optimize and improve AI assistants in this field. It is characterized by the combination of two kinds of standard information processing methods: indirect formalization of P-base system and direct formalization of hexadecimal system. The result is not only to improve the quality of the bilingual understanding model of high-resource languages, but also to migrate from high-resource to low-resource to the corpus and knowledge base of bilingual information processing, give full play to the accumulation of knowledge and experience in big data processing of high-resource languages, and train the various bilingual information processing abilities of AI assistants. It is characterized by the discovery of scientific principles of AGI and the establishment of a verifiable intelligent system. Its significance lies in exploring the improved and optimized ways of bilingual information processing between doctors and patients through human-machine mutual assistance, and developing the theory of data science in this field.

Keyphrases: AI assistants, Bilingual Information Processing, Data Science, High-Resource Languages, Human-Machine Mutual Assistance, Information Science, Intelligent Science, Language Science, P-Base System, Relationship between Doctors and Patients, Scientific Principles of AI

@booklet{EasyChair:14185,
  author    = {Xiaohui Zou},
  title     = {The Integration of Data Science and Bilingual Information Processing for Advancing the Scientific Understanding of Artificial Intelligence},
  howpublished = {EasyChair Preprint 14185},
  year      = {EasyChair, 2024}}