Paraphrase detection for Urdu language text using fine-tune BiLSTM framework

Paraphrase detection for Urdu language text using fine-tune BiLSTM framework

Abstract Automated paraphrase detection is crucial for natural language processing (NL) applications like text summarization, plagiarism detection, and question-answering systems. Detecting paraphrases in Urdu text remains challenging due to the language’s complex morphology, distinctive script, and...

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Bibliographic Details
Main Authors: Muhammad Ali Aslam, Khairullah Khan, Wahab Khan, Sajid Ullah Khan, Abdullah Albanyan, Shabbab Ali Algamdi
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Paraphrase detection
BiLSTM
NLP
LSTM
CNN
Urdu text
Online Access:https://doi.org/10.1038/s41598-025-93260-6
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https://doi.org/10.1038/s41598-025-93260-6

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