18 citations · 30 across the 8 of their papers we have counts for
8 papers
SIT at MixMT 2022: Fluent Translation Built on Giant Pre-trained Models
Abdul Rafae Khan, Hrishikesh Kanade, Girish Amar Budhrani +2
This paper describes the Stevens Institute of Technology's submission for the WMT 2022 Shared Task: Code-mixed Machine Translation (MixMT). The task consisted of two subtasks, subt…
ConceptX: A Framework for Latent Concept Analysis
Firoj Alam, Fahim Dalvi, Nadir Durrani +3
The opacity of deep neural networks remains a challenge in deploying solutions where explanation is as important as precision. We present ConceptX, a human-in-the-loop framework fo…
Analyzing Encoded Concepts in Transformer Language Models
Hassan Sajjad, Nadir Durrani, Fahim Dalvi +3
We propose a novel framework ConceptX, to analyze how latent concepts are encoded in representations learned within pre-trained language models. It uses clustering to discover the…
Discovering Latent Concepts Learned in BERT
Fahim Dalvi, Abdul Rafae Khan, Firoj Alam +3
A large number of studies that analyze deep neural network models and their ability to encode various linguistic and non-linguistic concepts provide an interpretation of the inner…
Interpreting Criminal Charge Prediction and Its Algorithmic Bias via Quantum-Inspired Complex Valued Networks
Abdul Rafae Khan, Jia Xu, Peter Varsanyi +1
While predictive policing has become increasingly common in assisting with decisions in the criminal justice system, the use of these results is still controversial. Some software…
A Clustering Framework for Lexical Normalization of Roman Urdu
Abdul Rafae Khan, Asim Karim, Hassan Sajjad +2
Roman Urdu is an informal form of the Urdu language written in Roman script, which is widely used in South Asia for online textual content. It lacks standard spelling and hence pos…
Diversity by Phonetics and its Application in Neural Machine Translation
Abdul Rafae Khan, Jia Xu
We introduce a powerful approach for Neural Machine Translation (NMT), whereby, during training and testing, together with the input we provide its phonetic encoding and the varian…
Phrase Based Language Model For Statistical Machine Translation
Jia Xu, Geliang Chen
We consider phrase based Language Models (LM), which generalize the commonly used word level models. Similar concept on phrase based LMs appears in speech recognition, which is rat…