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.
| Original language | English |
|---|---|
| Title of host publication | ICOS 2015 - 2015 IEEE Conference on Open Systems |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 79-84 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781467394345 |
| DOIs | |
| Publication status | Published - 8 Jan 2016 |
| Event | IEEE Conference on Open Systems, ICOS 2015 - Melaka, Malaysia Duration: 24 Aug 2015 → 26 Aug 2015 |
Other
| Other | IEEE Conference on Open Systems, ICOS 2015 |
|---|---|
| Country | Malaysia |
| City | Melaka |
| Period | 24/8/15 → 26/8/15 |
Keywords
- features
- identification
- Malay text
- rule-based
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Hardware and Architecture
Cite this
An identification of authentic narrator's name features in Malay hadith texts. / Abd Rahman, Nurazzah; Alias, Nursyahidah; Ismail, Normaly Kamal; Bin Mohamed Nor, Zulhilmi; Alias, Muhammad Nazir.
ICOS 2015 - 2015 IEEE Conference on Open Systems. Institute of Electrical and Electronics Engineers Inc., 2016. p. 79-84 7377282.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - An identification of authentic narrator's name features in Malay hadith texts
AU - Abd Rahman, Nurazzah
AU - Alias, Nursyahidah
AU - Ismail, Normaly Kamal
AU - Bin Mohamed Nor, Zulhilmi
AU - Alias, Muhammad Nazir
PY - 2016/1/8
Y1 - 2016/1/8
N2 - 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.
AB - 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.
KW - features
KW - identification
KW - Malay text
KW - rule-based
UR - http://www.scopus.com/inward/record.url?scp=84962809868&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84962809868&partnerID=8YFLogxK
U2 - 10.1109/ICOS.2015.7377282
DO - 10.1109/ICOS.2015.7377282
M3 - Conference contribution
AN - SCOPUS:84962809868
SP - 79
EP - 84
BT - ICOS 2015 - 2015 IEEE Conference on Open Systems
PB - Institute of Electrical and Electronics Engineers Inc.
ER -