DESIGN AND IMPLEMENTATION OF A RULE BASED AFAAN OROMOO CONVERSATIONAL CHATBOTS

Main Article Content

FIKADU WAYESA

Abstract

Chatbot technologies are very popular one in the field of NLP and AI to process basic expressions of interaction between humans (end users) and devices as Question Answering System (QAS).  They are used in many ranges like in industry to provide customer services based on their need to reach on their desires, transportation, health, entertainment, education, psychology to monitor human emotions and in many. Messaging service is a popular means of communication as text based messaging (SMS) or through messaging applications. Chatbots are virtual assistant technologies that are designed and developed based on the user’s query and to their language. The aim of this paper is to develop and implement a rule based conversational chatbot for Afaan Oromo Language. The approach gets a simple Afaan Oromoo query as input and retrieves answers from a set of predefined rules or responses. The performance of our model is evaluated through human judgment.

Keywords:
Afaan oromoo, chatbot, NLP, conversation, rule-base

Article Details

How to Cite
WAYESA, F. (2022). DESIGN AND IMPLEMENTATION OF A RULE BASED AFAAN OROMOO CONVERSATIONAL CHATBOTS. Asian Journal of Current Research, 7(3), 44-51. https://doi.org/10.56557/ajocr/2022/v7i38012
Section
Original Research Article

References

D. J., Martin JH. Speech and Language Processing; 2018.

Sandoval ZV. Design and implementation of a chatbot in online higher education settings. Issues in Information Systems. 2018;19(4):44-52.

Soufyane Ayanouz SAMB. A smart chatbot architecture based NLP and Machine learning for health care assistance. Research Gate; 2020.

Ahmed Fadhil GS. Designing for health Chatbots; 2017.

Reilly SO. Designing bots; 2017.

Tarun Lalwani SBAPSBVR. Implementation of a Chatbot system using AI and NLP. International Journal of Innovative Research in Computer Science & Technology (IJIRCST). 2018;6(3):26-30.

Pavel Kostelnik PMM. Chatbots for Enterprise: outlook. 2019;67:1541-1549.

Galitsky. Developing enterprise chatbots: learning linguistic structures. Springer International Publishing; 2019.

Mekuria H. Wikibooks, Wikibooks, [Online]. Available: www.en.wikibooks.org.

Weizenbaum. ELIZA – A computer program forthe study of natural language communication between manand machine. Communications of the ACM. 1996;36–45.

Dale R. Industry watch the return of the Chatbots. Natural Language Engineering. 2016;22(5):811-817.

D’ávila TC. KINO: an approach for rule-based chatbot development, monitoring andevaluation; 2018.

Jagdish Singh MHJAKBAJ. Rule-based chabot for student enquiries. International Conference on Computer Vision and Machine Learning. 2019.