Search Results for author:
Found 4 papers, 1 papers with code
RUBERT: A Bilingual Roman Urdu BERT Using Cross Lingual Transfer Learning
It is also a well-known fact that training and maintaining monolingual models for each language is a costly and time-consuming process.
Bilingual Language Modeling, A transfer learning technique for Roman Urdu
We train Monolingual, Multilingual, and Bilingual models of Roman Urdu - the proposed bilingual model achieves 23% accuracy compared to the 2% and 11% of the monolingual and multilingual models respectively in the Masked Language Modeling (MLM) task.
Co-occurrences using Fasttext embeddings for word similarity tasks in Urdu
In this paper, we have built a corpus for Urdu by scraping and integrating data from various sources and compiled a vocabulary for the Urdu language.
Few Shot Learning for Information Verification
Information verification is quite a challenging task, this is because many times verifying a claim can require picking pieces of information from multiple pieces of evidence which can have a hierarchy of complex semantic relations.
