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Publication search results
found 11 matches
- 2024
- Ayesha Noreen, Iqra Muneer, Rao Muhammad Adeel Nawab:
Mono-lingual text reuse detection for the Urdu language at lexical level. Eng. Appl. Artif. Intell. 136: 109003 (2024) - 2023
- Gull Mehak, Iqra Muneer, Rao Muhammad Adeel Nawab:
Urdu Text Reuse Detection at Phrasal level using Sentence Transformer-based approach. Expert Syst. Appl. 234: 121063 (2023) - Hamza Hafeez, Iqra Muneer, Muhammad Sharjeel, Muhammad Adnan Ashraf, Rao Muhammad Adeel Nawab:
Urdu Short Paraphrase Detection at Sentence Level. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(4): 121:1-121:20 (2023) - Iqra Muneer, Ghazeefa Fatima, Muhammad Salman Khan, Rao Muhammad Adeel Nawab, Ali Saeed:
Developing a Large Benchmark Corpus for Urdu Semantic Word Similarity. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(3): 83:1-83:19 (2023) - Muhammad Sharjeel, Iqra Muneer, Sumaira Nosheen, Rao Muhammad Adeel Nawab, Paul Rayson:
Cross-lingual Text Reuse Detection at Document Level for English-Urdu Language Pair. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(6): 173:1-173:22 (2023) - 2022
- Iqra Muneer, Rao Muhammad Adeel Nawab:
Cross-Lingual Text Reuse Detection at sentence level for English-Urdu language pair. Comput. Speech Lang. 75: 101381 (2022) - Iqra Muneer, Rao Muhammad Adeel Nawab:
Develop corpora and methods for cross-lingual text reuse detection for English Urdu language pair at lexical, syntactical, and phrasal levels. Lang. Resour. Evaluation 56(4): 1103-1130 (2022) - Iqra Muneer, Rao Muhammad Adeel Nawab:
Cross-lingual Text Reuse Detection Using Translation Plus Monolingual Analysis for English-Urdu Language Pair. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(2): 26:1-26:18 (2022) - 2020
- Sara Sarfaraz, Iqra Muneer, Haiyan Liu:
Combining fragment docking with graph theory to improve ligand docking for homology model structures. J. Comput. Aided Mol. Des. 34(12): 1237-1259 (2020) - 2019
- Iqra Muneer, Muhammad Sharjeel, Muntaha Iqbal, Rao Muhammad Adeel Nawab, Paul Rayson:
CLEU - A Cross-language english-urdu corpus and benchmark for text reuse experiments. J. Assoc. Inf. Sci. Technol. 70(7): 729-741 (2019) - 2018
- Sara Sameen, Muhammad Sharjeel, Rao Muhammad Adeel Nawab, Paul Rayson, Iqra Muneer:
Measuring Short Text Reuse for the Urdu Language. IEEE Access 6: 7412-7421 (2018)
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