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  2. 15 Μαΐ 2024 · To help with Urdu language processing tasks, a new and robust preprocessing library called LughaatNLP has arisen as a vital tool for researchers, developers, and language fans alike. Table of Content. LughaatNLP. Key Features of LughaatNLP. 1. Tokenization. 2. Lemmatization. 3. Stop Word Removal. 4. Normalization. 5. Stemming. 6. Spell Checking. 7.

  3. 1 Μαρ 2017 · The core objective of this paper is to present a survey regarding different linguistic resources that exist for Urdu language processing, to highlight different tasks in Urdu language...

  4. 11 Απρ 2024 · LughaatNLP aims to simplify this process by providing a suite of tools to handle various aspects of Urdu text normalization, tokenization, lemmatization, stop word removal, stemming, spell...

  5. Few studies highlighting these Morphological and Orthographic challenges in Urdu Language Processing (ULP) can be found in the literature but still there are many unsolved problems that need to be highlighted and solved. This paper is intended to present, group, and review these challenges.

  6. 9 Δεκ 2020 · The research involves echoing monolingual dataset, such that in the pre-training phase, the input and output sequences are ditto, to learn the target language. This process gives target...

  7. 2 Ιουν 2016 · The core objective of this paper is to present a survey regarding different linguistic resources that exist for Urdu language processing, to highlight different tasks in Urdu language processing and to discuss different state of the art available techniques.

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