A Corpus Based Approach to Generalising a Chatbot System

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Details

Chatbot tools are computer programs which interact with users using natural languages. This thesis shows that chatbot technology could be used in many different ways in addition to being a tool for having fun. A chatbot could be used as a tool to learn or to study a new language; a tool to access an information system, a tool to visualise the contents of a corpus; and a tool to give answers to questions in a specific domain. Instead of being restricted to a specific domain or written language, a chatbot could be trained with any text in any language. Some of the differences between real human conversations and human-chatbot dialogues are presented. A Java program has been developed to read a text from a machine readable text (corpus) and convert it to ALICE chatbot format language (AIML). The program was built to be general, the generality in this respect implies, no restrictions on specific language, domain, or structure. Different languages were tested: English, Arabic, Afrikaans, French, and Spanish. At the same time different corpora structure were used: dialogue, monologue, and structured text.

Autorentext

Bayan Abu Shawar is an assistant professor at Arab Open Univeristy, Jordan. She obtained her PhD from the School of Computing at University of Leeds in 2005. Her research interests are: natural language processing, information retrieval, e-learning and learning management systems

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783844387063
    • Sprache Englisch
    • Größe H220mm x B150mm x T12mm
    • Jahr 2011
    • EAN 9783844387063
    • Format Kartonierter Einband
    • ISBN 3844387064
    • Veröffentlichung 04.10.2011
    • Titel A Corpus Based Approach to Generalising a Chatbot System
    • Autor Bayan Abu Shawar
    • Untertitel Applying Simple Natural Language Processing Techniques to Build Knowledge Base of ALICE Chatbot System
    • Gewicht 292g
    • Herausgeber LAP LAMBERT Academic Publishing
    • Anzahl Seiten 184
    • Genre Informatik

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