ARTIFICIAL INTELLIGENCE TECHNOLOGIES FOR NATURAL LANGUAGE RECOGNITION

Authors

  • Spirina Ye.A. Candidate of Pedagogical Science, Associate Professor, Karaganda University named after E.A. Buketov, Karaganda, Kazakhstan
  • Samoilova I.A. Senior Lecturer, Karaganda University named after E.A. Buketov, Karaganda, Kazakhstan

Keywords:

artificial intelligence, natural language recognition, Web application, voice assistant, Google Alisa, DialogFlow cloud service, voice assistant development algorithm

Abstract

The paper discusses the basic technologies of natural language recognition and the features of creating a voice assistant (assistant) based on the DialogFlow cloud service. As an example, an application has been developed - the voice assistant "IT applicant", which answers applicants' questions about educational programs in the field of IT at Karaganda University named after E.A. Buketov of the Republic of Kazakhstan. The article analyzes the principles of operation of the popular voice assistants Google Assistant, Amazon Echo (Alexa), Microsoft Cortana, Yandex Alisa. It has been revealed that the Google Dialog Flex natural language recognition platform is a convenient tool for developing a dialog user interface in mobile applications. An algorithm for developing a voice assistant based on the Dialog Flow cloud service is considered.

Published

2024-01-21

How to Cite

Spirina Ye.A., & Samoilova I.A. (2024). ARTIFICIAL INTELLIGENCE TECHNOLOGIES FOR NATURAL LANGUAGE RECOGNITION. Academics and Science Reviews Materials, (5). Retrieved from https://ojs.publisher.agency/index.php/ASCRM/article/view/2876