Converting a word to its original form, is called stemming, which is extremely important in the
field of Natural language processing (NLP). It's an integral part of the linguistic pre …

Stemming is the process of extracting root word from the given inflection word and also plays
significant role in numerous application of Natural Language Processing (NLP). Tamil …

Word stemming is one of the most significant factors that affect the performance of a Natural
Language Processing (NLP) application such as Information Retrieval (IR) system, part of …

Stemming, as its word implies it converts the original word into its root/base format which is
called as stem. Stemming process plays a prominent role in natural language processing …

In natural language processing, it is important that the context and the meaning of words are
retained while also ensuring the efficacy of the data modelling process. During human-to …

Stemming is the main step used for handling the morphologically rich languages such as
Arabic. It is usually used in several fields such as Natural Language Processing, Information …

Stemmer is a language processing tool that has been widely used in many artificial
intelligence applications for removing affixes in a word such as prefixes, infixes, and suffixes …

Stemming is the process of reducing inflected words to their word stem, base, or root
structure in semantic morphology and data recovery. It delivers the best capitulate when …

Urdu language is used by approximately 200 million people for spoken and written
communication. Bulk of unstructured Urdu textual data is available in the world. We can …