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
Link To Document :
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