• DocumentCode
    3726813
  • Title

    An identification of authentic narrator´s name features in Malay hadith texts

  • Author

    Nurazzah Abd Rahman;Nursyahidah Alias;Normaly Kamal Ismail;Zulhilmi bin Mohamed Nor;Muhammad Nazir b Alias

  • Author_Institution
    Fakulti Sains Komputer dan Matematik, Universiti Teknologi MARA, Shah Alam, Malaysia
  • fYear
    2015
  • Firstpage
    79
  • Lastpage
    84
  • Abstract
    Name is regarded as important to human. A person´s name can give impact to him/her either positively or negatively. It is important to recognize or match a person´s name with the right person. To do this on the computer, we need to develop a rule so that the computer will be able to recognize the right name with the right person. Before developing the rule, the features about the person´s name itself need to be identified. So far, there has been very little work on recognizing a person´s name in the Malay texts. This research identifies features of authentic narrator´s name in the Malay hadith texts. We extracted the authentic narrators´ names manually from hadith texts in the purpose of identifying the features of the names. We extracted manually 455 narrator´s name from 150 Malay hadith texts. From the extracted name, exist same person of narrator´s name with different types of spelling. There are also many forms of the narrator´s names which refers to one person. We also identify the name manner in the Malay hadith texts and added 3 more name manners. Then, we developed the rule to recognize the narrators´ names in the Malay hadith texts based on the identified features.
  • Keywords
    "Text recognition","Standards","Conferences","Open systems","Feature extraction","Computers","Data mining"
  • Publisher
    ieee
  • Conference_Titel
    Open Systems (ICOS), 2015 IEEE Confernece on
  • Type

    conf

  • DOI
    10.1109/ICOS.2015.7377282
  • Filename
    7377282