Relevant bibliographies by topics / Roman Urdu

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Academic literature on the topic 'Roman Urdu'

Author: Grafiati
Published: 3 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Roman Urdu"

1

Alam, Mehreen, and Sibt Ul Hussain. "Roman-Urdu-Parl: Roman-Urdu and Urdu Parallel Corpus for Urdu Language Understanding." ACM Transactions on Asian and Low-Resource Language Information Processing 21, no. 1 (2022): 1–20. http://dx.doi.org/10.1145/3464424.

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Availability of corpora is a basic requirement for conducting research in a particular language. Unfortunately, for a morphologically rich language like Urdu, despite being used by over a 100 million people around the globe, the dearth of corpora is a major reason for the lack of attention and advancement in research. To this end, we present the first-ever large-scale publicly available Roman-Urdu parallel corpus, Roman-Urdu-Parl, with 6.37 million sentence-pairs. It is a huge corpus collected from diverse sources, annotated using crowd-sourcing techniques, and also assured for quality. It has
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2

Rafique, Ayesha, Kamran Malik, Zubair Nawaz, Faisal Bukhari, and Akhtar Hussain Jalbani. "Sentiment Analysis for Roman Urdu." Mehran University Research Journal of Engineering and Technology 38, no. 2 (2019): 463–70. http://dx.doi.org/10.22581/muet1982.1902.20.

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The majority of online comments/opinions are written in text-free format. Sentiment Analysis can be used as a measure to express the polarity (positive/negative) of comments/opinions. These comments/ opinions can be in different languages i.e. English, Urdu, Roman Urdu, Hindi, Arabic etc. Mostly, people have worked on the sentiment analysis of the English language. Very limited research work has been done in Urdu or Roman Urdu languages. Whereas, Hindi/Urdu is the third largest language in the world. In this paper, we focus on the sentiment analysis of comments/opinions in Roman Urdu. There is
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Ansari, Zahra, Shaukat Ali, and Fatima Khan. "USE OF ROMAN SCRIPT FOR WRITING URDU LANGUAGE." International Journal of Linguistics and Culture 1, no. 2 (2020): 165–78. http://dx.doi.org/10.52700/ijlc.v1i2.20.

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The purpose of the paper is to highlight the need of evolving a standardized Romanization table, which is used for writing Urdu language on mobile phones, laptops or tabs etc. Use of Urdu language in Roman script is in vogue in our daily life. Internet and mobile users have conveniently adopted Roman script since long for writing Urdu. But it is being used in an irregular and disorganized way. Therefore, an organized and systematic Roman script is imperative to explore ample possibilities of its usage. The current study is qualitative in nature. The Urdu Romanization table is used as a tool in
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4

Khan, Ihsan Ullah, Aurangzeb Khan, Wahab Khan, et al. "A Review of Urdu Sentiment Analysis with Multilingual Perspective: A Case of Urdu and Roman Urdu Language." Computers 11, no. 1 (2021): 3. http://dx.doi.org/10.3390/computers11010003.

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Research efforts in the field of sentiment analysis have exponentially increased in the last few years due to its applicability in areas such as online product purchasing, marketing, and reputation management. Social media and online shopping sites have become a rich source of user-generated data. Manufacturing, sales, and marketing organizations are progressively turning their eyes to this source to get worldwide feedback on their activities and products. Millions of sentences in Urdu and Roman Urdu are posted daily on social sites, such as Facebook, Instagram, Snapchat, and Twitter. Disregar
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Rana, Toqir A., Kiran Shahzadi, Tauseef Rana, Ahsan Arshad, and Mohammad Tubishat. "An Unsupervised Approach for Sentiment Analysis on Social Media Short Text Classification in Roman Urdu." ACM Transactions on Asian and Low-Resource Language Information Processing 21, no. 2 (2022): 1–16. http://dx.doi.org/10.1145/3474119.

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During the last two decades, sentiment analysis, also known as opinion mining, has become one of the most explored research areas in Natural Language Processing (NLP) and data mining. Sentiment analysis focuses on the sentiments or opinions of consumers expressed over social media or different web sites. Due to exposure on the Internet, sentiment analysis has attracted vast numbers of researchers over the globe. A large amount of research has been conducted in English, Chinese, and other languages used worldwide. However, Roman Urdu has been neglected despite being the third most used language
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Noureen, Sharin Hazlin Huspi Huspi, and Zafar Ali. "Sentiment Analysis on Roman Urdu Students’ Feedback Using Enhanced Word Embedding Technique." Baghdad Science Journal 21, no. 2(SI) (2024): 0725. http://dx.doi.org/10.21123/bsj.2024.9822.

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Students’ feedback is crucial for educational institutions to assess the performance of their teachers, most opinions are expressed in their native language, especially for people in south Asian regions. In Pakistan, people use Roman Urdu to express their reviews, and this applied in the education domain where students used Roman Urdu to express their feedback. It is very time-consuming and labor-intensive process to handle qualitative opinions manually. Additionally, it can be difficult to determine sentence semantics in a text that is written in a colloquial style like Roman Urdu. This study
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7

Khan, Lal, Ammar Amjad, Kanwar Muhammad Afaq, and Hsien-Tsung Chang. "Deep Sentiment Analysis Using CNN-LSTM Architecture of English and Roman Urdu Text Shared in Social Media." Applied Sciences 12, no. 5 (2022): 2694. http://dx.doi.org/10.3390/app12052694.

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Sentiment analysis (SA) has been an active research subject in the domain of natural language processing due to its important functions in interpreting people’s perspectives and drawing successful opinion-based judgments. On social media, Roman Urdu is one of the most extensively utilized dialects. Sentiment analysis of Roman Urdu is difficult due to its morphological complexities and varied dialects. The purpose of this paper is to evaluate the performance of various word embeddings for Roman Urdu and English dialects using the CNN-LSTM architecture with traditional machine learning classifie
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8

Muhammad, Khalid Bin, and S. M. Aqil Burney. "Innovations in Urdu Sentiment Analysis Using Machine and Deep Learning Techniques for Two-Class Classification of Symmetric Datasets." Symmetry 15, no. 5 (2023): 1027. http://dx.doi.org/10.3390/sym15051027.

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Many investigations have performed sentiment analysis to gauge public opinions in various languages, including English, French, Chinese, and others. The most spoken language in South Asia is Urdu. However, less work has been carried out on Urdu, as Roman Urdu is also used in social media (Urdu written in English alphabets); therefore, it is easy to use it in English language processing software. Lots of data in Urdu, as well as in Roman Urdu, are posted on social media sites such as Instagram, Twitter, Facebook, etc. This research focused on the collection of pure Urdu Language data and the pr
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9

Rehman, Iffraah, and Tariq Rahim Soomro. "Urdu Sentiment Analysis." Applied Computer Systems 27, no. 1 (2022): 30–42. http://dx.doi.org/10.2478/acss-2022-0004.

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Abstract The world is heading towards more modernized and digitalized data and therefore a significant growth is observed in the active number of social media users with each passing day. Each post and comment can give an insight into valuable information about a certain topic or issue, a product or a brand, etc. Similarly, the process to uncover the underlying information from the opinion that a person keeps about any entity is called a sentiment analysis. The analysis can be carried out through two main approaches, i.e., either lexicon-based or machine learning algorithms. A significant amou
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Akhter, Muhammad Pervez, Zheng Jiangbin, Irfan Raza Naqvi, Mohammed Abdelmajeed, and Muhammad Tariq Sadiq. "Automatic Detection of Offensive Language for Urdu and Roman Urdu." IEEE Access 8 (2020): 91213–26. http://dx.doi.org/10.1109/access.2020.2994950.

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Books on the topic "Roman Urdu"

1

Badley, B. H. The popular dictionary: English & Roman Urdu, Roman Urdu & English. Brothers Publisher, 1993.

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2

Afz̤āl, Firdaus, and Firdous Shakeel, eds. Sialkot convention: Geet ki kitab, roman Urdu. Nirali Kitaben, 2002.

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Willatt, J. A Textbook of Urdu: In the Roman script. Asian Educational Services, 1994.

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translator, Jalil Rakhshanda, ed. The sea lies ahead. Harper Perennial, 2015.

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5

Saʻīd, T̤āhir Jān. Urdū men̲ sarmāyah-yi t̤ibb-i Yūnānī kā lisānī jāʼizah. Buk̲h̲ārī Pablisharz, 2016.

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K, Qureshi M. H., ред. Aḥmad Farāz kī muntak̲h̲ab shāʻirī: Angrezī manẓūm tarjamah ke sāth = Selected poetry of Ahmad Faraz : Urdu, roman, Hindi (Devanagri) text with English lyrical translation. Star Publications, 2004.

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1927-, Mahmood Khwaja Tariq, and Varma Amar, eds. Selected poems of Shakeel Badauni, with original Urdu text, roman and Hindi transliteration and poetical translation into English =: Kalam-i Shakīl Badāyūnī = Shakīla Badāyuni kī śāirī. Star Publications, 2002.

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1927-, Mahmood Khwaja Tariq, and Varma Amar, eds. Selected poems of Faiz Ahmad Faiz: With original Urdu text, roman and Hindi transliteration and poetical translation into English = Intik̲h̲āb-i kalām-i Faiz̤ Aḥmad Faiz̤ = Faiza Ahmada "Faiza" kī śāyarī. Star Publications, 2002.

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9

Pushkin, Aleksandr Sergeevich. Evgeniĭ Onegin: Shu̇lu̇ktėėn roman ; Kapitan uruu. Novosti Tuvy, 2001.

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10

Campbell, Rod. It's mine! (Urdu/English). Ingham Yates, 1988.

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Book chapters on the topic "Roman Urdu"

1

Mehmood, Khawar, Daryl Essam, and Kamran Shafi. "Sentiment Analysis System for Roman Urdu." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01174-1_3.

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Kaleem, Laraib, Arif Ur Rahman, and Momina Moetesum. "RUATS: Abstractive Text Summarization for Roman Urdu." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70442-0_16.

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Khan, Moin, and Kamran Malik. "Sentiment Classification of Customer’s Reviews About Automobiles in Roman Urdu." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03405-4_44.

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Noor, Faiza, Maheen Bakhtyar, and Junaid Baber. "Sentiment Analysis in E-commerce Using SVM on Roman Urdu Text." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23943-5_16.

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Khan, Muhammad Yaseen, and Tafseer Ahmed. "Pseudo Transfer Learning by Exploiting Monolingual Corpus: An Experiment on Roman Urdu Transliteration." In Communications in Computer and Information Science. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5232-8_36.

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Bhatt, Ram Prasad, and Barbara Schrammel-Leber. "Das Hindi und das Urdu sowie das Romani." In Das mehrsprachige Klassenzimmer. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-34315-5_13.

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Conference papers on the topic "Roman Urdu"

1

Butt, Umer, Stalin Varanasi, and Günter Neumann. "Low-Resource Transliteration for Roman-Urdu and Urdu Using Transformer-Based Models." In Proceedings of the Eighth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2025). Association for Computational Linguistics, 2025. https://doi.org/10.18653/v1/2025.loresmt-1.13.

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Ullah, Rehman, Waseem Ullah Khan, Safdar Nawaz Khan Marwat, Jasim Ullah, and Fatima Irshad. "Hate Speech Detection of Roman Urdu Using Transformer Models." In 2024 19th International Conference on Emerging Technologies (ICET). IEEE, 2024. https://doi.org/10.1109/icet63392.2024.10935087.

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Muhammad, Khalid Bin, and Tariq Rahim Soomro. "Towards a Unified Framework: Bridging Roman Urdu and Urdu Nastalique Through Comprehensive Conversion and NLP Techniques." In 2024 Global Conference on Wireless and Optical Technologies (GCWOT). IEEE, 2024. https://doi.org/10.1109/gcwot63882.2024.10805700.

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Khan, Waseem Ullah, Salman Ahmed, Safdar Nawaz Khan Marwat, Yousaf Khan, Aftab Khan, and Shafi Ullah Kamran. "Misogynistic Content Detection in Roman Urdu Tweets Based on Transformer Models." In 2024 26th International Multitopic Conference (INMIC). IEEE, 2024. https://doi.org/10.1109/inmic64792.2024.11004402.

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Wisal, Muhammad, Abbas Mustafa, and Umair Arshad. "CMRUTU: Code Mixed Roman Urdu (Roman Urdu and English) to Urdu Translator." In 2022 24th International Multitopic Conference (INMIC). IEEE, 2022. http://dx.doi.org/10.1109/inmic56986.2022.9972972.

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Tasadduq, Mamoona. "Lexical Normalization of Roman Urdu." In 2022 24th International Multitopic Conference (INMIC). IEEE, 2022. http://dx.doi.org/10.1109/inmic56986.2022.9972968.

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Alam, Mehreen, and Sibt ul Hussain. "Sequence to sequence networks for Roman-Urdu to Urdu transliteration." In 2017 20th International Multi-topic Conference (INMIC). IEEE, 2017. http://dx.doi.org/10.1109/inmic.2017.8289449.

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Arshad, Muhammad Umair, Muhammad Farrukh Bashir, Adil Majeed, Waseem Shahzad, and Mirza Omer Beg. "Corpus for Emotion Detection on Roman Urdu." In 2019 22nd International Multitopic Conference (INMIC). IEEE, 2019. http://dx.doi.org/10.1109/inmic48123.2019.9022782.

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Nabeel, Zahra, Maseeha Mehmood, Anees Baqir, and Anam Amjad. "Classifying Emotions in Roman Urdu Posts using Machine Learning." In 2021 Mohammad Ali Jinnah University International Conference on Computing (MAJICC). IEEE, 2021. http://dx.doi.org/10.1109/majicc53071.2021.9526273.

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Zahid, Rabail, Muhammad Owais Idrees, Hasan Mujtaba, and Mirza Omer Beg. "Roman Urdu reviews dataset for aspect based opinion mining." In ASE '20: 35th IEEE/ACM International Conference on Automated Software Engineering. ACM, 2020. http://dx.doi.org/10.1145/3417113.3423377.

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