Abu Shawar, BA and Atwell, ES (2003) Using the corpus of spoken Afrikaans to generate an Afrikaans chatbot. Southern African Linguistics and Applied Language Studies, 21 (4). 283 - 294. ISSN 1607-3614
Abstract
This paper presents two chatbot systems, ALICE and Elizabeth, illustrating the dialogue knowledge representation and pattern matching techniques of each. We discuss the problems which arise when using the Corpus of Spoken Afrikaans (Korpus Gesproke Afrikaans) to retrain the ALICE chatbot system with human dialogue examples. A Java program to convert from dialog transcripts to the AIML linguistic knowledge representation formalism provides a basic implementation of corpus-based chatbot training. The Java program used the Afrikaans dialogue corpus texts to generate two versions of the Afrikaans chatbot.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 04 Dec 2014 10:31 |
Last Modified: | 21 Feb 2024 13:31 |
Published Version: | http://www.nisc.co.za/products/16/journals/souther... |
Status: | Published |
Publisher: | National Inquiry Services Centre (Pty) Ltd |
Identification Number: | 10.2989/16073610309486349 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:81681 |