DocumentCode
637342
Title
Syllable-based Malay word stemmer
Author
JunChoi Lee ; Othman, Razib M. ; Mohamad, Nor Zulaily
Author_Institution
Fac. of Comput. Sci. & Inf. Technol., Univ. Malaysia Sarawak, Kota Samarahan, Malaysia
fYear
2013
fDate
7-9 April 2013
Firstpage
7
Lastpage
11
Abstract
Word stemmer is one of the basic and crucial text processing tools in any languages. Word stemmer is not only useful in morphological study but also play an important role in word level context analysis. Due to the existence of prefix, suffix, infix and a combination of affixes in Malay word, it raises the complexity of performing stemming to Malay word. An approach to stem Malay word using syllabification algorithm is introduced. This approach performs stemming through comparing syllable in the word thus reduces the parsing processes. The approach shows high practicality as it produces a very high accuracy in the evaluation.
Keywords
natural language processing; text analysis; parsing process; syllabification algorithm; syllable-based Malay word stemmer; text processing tool; word level context analysis; Accuracy; Algorithm design and analysis; Computer science; Computers; Dictionaries; Informatics; Prototypes; Malay Text; Stemmer; Syllabification; rule-based;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers & Informatics (ISCI), 2013 IEEE Symposium on
Conference_Location
Langkawi
Print_ISBN
978-1-4799-0209-5
Type
conf
DOI
10.1109/ISCI.2013.6612366
Filename
6612366
Link To Document