Name extraction for unstructured Malay text

Author

Sharum, Mohd Yunus ; Abdullah, Muhamad Taufik ; Sulaiman, Md Nasir ; Murad, Masrah Azrifah Azmi ; Hamzah, Zaitul Azma Zainon

Author_Institution

Fac. of Comp. Sci. & Info. Technol., UPM, Serdang, Malaysia

fYear

2011

fDate

20-23 March 2011

Firstpage

787

Lastpage

791

Abstract

Names are categorized as proper nouns. Identifying nouns in unstructured text is very challenging since the number is almost unlimited. Name recognition can be used for part-of-speech (POS) tagging or automatic term acquisition in natural language processing (NLP). In this paper we proposed a general approach to recognize names in Malay text. Using the proposed approach, we implement an application of free indexing for indexing names from a collection of Malay texts. Our evaluation shows that the application reach 92% precision score, 54% recall score, and F-score 68% in indexing names from news´ articles.

Keywords

feature extraction; natural language processing; text analysis; automatic term acquisition; indexing; name extraction; name recognition; natural language processing; part of speech tagging; unstructured Malay text; Bridges; Communities; Indexing; Natural language processing; Roads; Text recognition; Malay text processing; Name extraction; Name recognition; Pattern recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers & Informatics (ISCI), 2011 IEEE Symposium on

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-61284-689-7

Type

conf

DOI

10.1109/ISCI.2011.5959017

Filename

5959017