2021
Urdu NLP
Sentiment analysis of roman-urdutweets about covid-19 using machine learning approach: A systematic literature
Authors:
S. M. W. Shah M. Nadeem M. Mehboob- International Journal 2021
… The most common feature set forNLPof Roman-Urduscript includes n-gram, Bigram andTF-IDE. Earlier researchers have used six algorithms for sentiment classification such as …
2021
Urdu NLP
UrduConjunct Predicates (N+ V) Inventory fromUrduUniversal Dependency Corpus
Authors:
F. Abdullah T. Ahmed U. Anjum- Corporum: Journal Of Corpus … 2021
…Urdunouns which can serve the purpose of a tool in the development ofnaturallanguageprocessingprograms forUrdu. … of conjunct predicate inUrdulanguage drew attention of many …
2021
Urdu NLP
TowardsUrduName Entity Recognition Using Bi-LSTM-CRF with Self-attention
Authors:
F. Ullah M. Zeeshan I. Ullah M. N. Alam…
… essential in manynaturallanguageprocessingactivities, …Urduspeakers globally, NERresources forUrduare either non-existent or insufficient. However, very less work is done inUrdu…
2021
Urdu NLP
Corpulyzer: A novel framework for building low resource language corpora
Authors:
B. Tahir M. A. Mehmood- I. E. E. E. Access 2021
… Details of our case study to build theUrdu…Urdulanguage corpus is reported in Section VI.We compare UrduWeb20 with otherUrdudatasets in Section VII along with some salientNLP/…
2021
Urdu NLP
Gender bias and under-representation innatural language processingacross human languages
Authors:
Y. Chen C. Mahoney I. Grasso E. Wali…
… As speakers of 9 languages who have recently examined the modernNLPtoolchain, we …Urduand Wolof speakers often use the English word for a profession when speaking inUrduor …
2021
Urdu NLP
Gender bias innatural language processingacross human languages
Authors:
A. Matthews I. Grasso C. Mahoney Y. Chen…
… , French, Farsi,Urdu, and Wolof. We demonstrate how the modernNLPpipeline not onlyreflects … In this study, we found thatUrduand Wolof speakers often use the English word for a …
2021
Urdu NLP
Rubert: A bilingual romanurdubert using cross lingual transfer learning
Authors:
U. Khalid M. O. Beg M. U. Arshad- arXiv Preprint arXiv:2102.11278 2021
… starved language, this means that there is not a single corpus, tools or techniques to createLarge Pretrained Language models and enable out-of-the-boxNLPtasks on RomanUrdu. …
2021
Urdu NLP
Bilingual language modeling, a transfer learning technique for romanurdu
Authors:
U. Khalid M. O. Beg M. U. Arshad- arXiv Preprint arXiv:2102.10958 2021
… RomanUrdu. We hope that the corpora and methods proposed in this paper will enable theNLP… models especially for Low resource and resource starved Languages like RomanUrdu. …
2021
Urdu NLP
A hybrid model for spelling error detection and correction forUrdulanguage
Authors:
R. Aziz M. W. Anwar M. H. Jamal U. I. Bajwa- Neural Computing … 2021
… Detecting and correcting misspelled words in a written text are of great importance in manynaturallanguageprocessingapplications. Errors can be broadly classified into two groups, …
2021
Urdu NLP
Violent views detection inUrdutweets
Authors:
M. H. Akram K. Shahzad- 2021 15Th International Conference On … 2021
… process of the first-everUrduviolent views detection corpus forUrdu. The development of the… for performing variousNLPtasks [23]. Finally, the support forUrdulanguage is available in …
2021
Urdu NLP
On multi-domain sentence level sentiment analysis for RomanUrdu
Authors:
K. Mehmood- 2021
… Since the work on RomanUrdu/Hindi sentiment analysis is still in …Urdu/Hindi text normalizationis necessary as that widely affects the performance of allNaturalLanguageProcessing…
2021
Urdu NLP
The impact of translating resource-rich datasets to low-resource languages through multi-lingual text processing
Authors:
A. Ghafoor A. S. Imran S. M. Daudpota Z. Kastrati…
… And to the best of our knowledge, currently availableUrdusentiment analysis datasets havea … Thus, the reliability of Google Translator based translations for mostNLPtasks inUrdu…