In this study, we use recent stance detection methods to study the stanc...
Sign language translation systems are complex and require many component...
Despite recent successes with neural models for sign language translatio...
Automatic sign language processing is gaining popularity in Natural Lang...
This paper presents work on novel machine translation (MT) systems betwe...
Neural Machine Translation (NMT) currently exhibits biases such as produ...
Signed languages are visual languages produced by the movement of the ha...
With the success of large-scale pre-training and multilingual modeling i...
Zero-shot neural machine translation is an attractive goal because of th...
This case study describes an approach to designing interactive museum
in...
The advent of the COVID-19 pandemic has instigated unprecedented changes...
Translating text that diverges from the training domain is a key challen...
The translation of pronouns presents a special challenge to machine
tran...