Building a Multilevel Inflection Handling Stemmer to Improve Search Effectiveness for Urdu Language

Building a Multilevel Inflection Handling Stemmer to Improve Search Effectiveness for Urdu Language

Stemming is an essential step in various Natural Language Processing (NLP) applications and 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. Due to specific grammatical rules and complex morpholog...

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Bibliografiska uppgifter
Huvudupphovsmän: Abdul Jabbar, Sajid Iqbal, Abdullah Abdulrhman Alaulamie, Manzoor Ilahi
Materialtyp: Artikel
Språk:English
Publicerad: IEEE 2024-01-01
Serie:IEEE Access
Ämnen:
Stemmer
information retrieval
Urdu stemmer
lemmatizer
natural language processing
text mining
Länkar:https://ieeexplore.ieee.org/document/10460562/

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https://ieeexplore.ieee.org/document/10460562/

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