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 :
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