Multiagent Based System for Secondary Education Using Machine Learning
| Autor: | Farooq Ahmad, Noman Jazeb, Ana María Martínez Enríquez, Sikandar Ali, Aslam Muhammad |
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| Rok vydání: | 2018 |
| Předmět: |
Vocabulary
Morphology (linguistics) Secondary education Arabic Computer science media_common.quotation_subject Cognition 02 engineering and technology Data science language.human_language Languages of South Asia Tokenization (data security) 020204 information systems 0202 electrical engineering electronic engineering information engineering language 020201 artificial intelligence & image processing Urdu media_common Persian |
| Zdroj: | ICMLA |
| DOI: | 10.1109/icmla.2018.00212 |
| Popis: | Artificial Intelligence has genuine imperative influence in our daily life rendering to the problem resolving. Many approaches were presented recently for developing TCBR applications. A classical and fundamental application is QA system with the assistance of textual cases, expertise acquaintance accumulation in the library full of past cases explanations and with the help of multi-agent. This challenge essentially needs an intelligent approach to overcome this problem. Many QA systems have been developed for English and other well-known languages however, no significant work was found for Urdu language. Despite spoken by millions of people, Urdu is an under-resourced language in terms of available computational resources. It inherits a lot of vocabulary from Arabic, Persian and the native languages of South Asia. Due to this influence, it has a complex morphology. In the proposed system, we meet the challenges in this domain by the assist of Question Answer system and utility assembly of Urdu language processing. Moreover, the solution shows the working of the knowledge system and deliberates good results. |
| Databáze: | OpenAIRE |
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