Apr 23, 2014 · Abstract: Word stemming is one of the most significant factors that affect the performance of a Natural Language Processing.
In this paper, we introduce a template based stemmer that eliminates all kinds of affixes i.e., prefixes, infixes and suffixes, depending on the morphological ...
This paper introduces a template based stemmer that eliminates all kinds of affixes i.e., prefixes, infixes and suffixes, depending on the morphological ...
In this paper we introduce a template based stemmer that eliminates all kinds of affixes i.e. prefixes, infixes and suffixes, depending on the morphological ...
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This proposed Urdu stemmer has the ability to generate the stem of Urdu words as well as loan words by removing prefix infix, and suffix.
In this section, we describe our proposed Urdu stemming method. This developed stemmer is based on the rule-based affix stripping approach to generate the stem ...
Wang, "Template. Based Affix Stemmer for a Morphologically Rich. Language," International Arab Journal of Information. Technology (IAJIT), vol. 12, 2015. 10 ...
Mar 28, 2022 · This paper proposes a multilingual stemming method that learns morpho-phonetic changes automatically based on character based embedding and sequential modeling.
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Wang, “Template based affix stemmer for a morphologically rich language,” Int. Arab J. Inf. Technol., vol. 12, no. 2, pp. 146–154, 2015. [14] M. F. Porter ...
This paper discusses a new approach for Arabic stem, called Arabic Morphology Information Retrieval (AMIR), to generate/extract stems by applying a set of ...