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High performance stemming algorithm to handle multi-level inflections in Urdu Language

<title>Abstract</title> Stemming is an essential step in varied Natural Language Processing (NLP) applications. It is used to reduce different variants of the query words to a standard form to avoid the vocabulary mismatch issue in Information Retrieval (IR) systems. There are a lot of stemming algorithms in English language, but Urdu NLP still in its infancy. A stemmer develops and evaluates in a language cannot be efficiently used for other languages . Urdu has the highly inflected and complex morphological structure, and most of the current Urdu stemmers remove a few numbers of affixes and leads to inefficient results. In this context, according to the best of our knowledge, this is a first comprehensive effort towards the proposition and evaluation …

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