Syllable-based Malay Word Stemmer

被引：0

作者：

Lee, JunChoi ^{[1
]}

Othman, Rosita Mohamad ^{[1
]}

Mohamad, Nurul Zawiyah ^{[1
]}

机构：

[1] Univ Malaysia Sarawak, Fac Comp Sci & Informat Technol, Kota Samarahan 94300, Sarawak, Malaysia

来源：

2013 IEEE SYMPOSIUM ON COMPUTERS AND INFORMATICS (ISCI 2013) | 2013年

关键词：

Stemmer; Malay Text; Syllabification; rule-based;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页数：5

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