Improving Arabic Stemmer: ISRI Stemmer

2019 IEEE 5th International Conference on Wireless and Telematics (ICWT) Pub Date : 2019-07-01 DOI:10.1109/ICWT47785.2019.8978248

Mochamad Gilang Syarief, Opik Taupik Kurahman, Arief Fatchul Huda, Wahyudin Darmalaksana

引用次数: 6

Abstract

Stemmer is used in several types of applications such as Text Mining, Information Retrieval (IR), and Natural Language Processing (NLP). Stemmer is a step used to process text data. The main task in the stemmer is to return the word-formation to the basic word (root or stem). ISRI Stemmer is one of the Arabic stemmers contained in the NLTK package. This study improves the weakness of the ISRI stemmer in processing words consisting of two letters. From the results of the experiment, these improvements increased the stemmer yield by 7.3%.

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Stemmer用于文本挖掘、信息检索(IR)和自然语言处理(NLP)等几种类型的应用中。Stemmer是一个用于处理文本数据的步骤。词干的主要任务是将构词法还原为基本词(词根或词干)。ISRI Stemmer是NLTK包中包含的阿拉伯语Stemmer之一。本研究改善了ISRI词干在处理由两个字母组成的单词时的弱点。从试验结果来看，这些改良使茎部产量提高了7.3%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2019 IEEE 5th International Conference on Wireless and Telematics (ICWT)

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