Papers by Prajit Dhar
ScanEZ: Integrating Cognitive Models with Self-Supervised Learning for Spatiotemporal Scanpath Prediction (2025.acl-short)
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| Challenge: | ScanEZ framework provides a framework for predicting scanpaths during reading . masked modeling of eye movements and cognitive model simulations are used to kick-start training. |
| Approach: | They propose a framework for self-supervised learning that models scanpaths using synthetic data and a 3-D gaze objective inspired bymasked language modeling. |
| Outcome: | The proposed framework achieves state-of-the-art results on established datasets and is portable across different conditions. |
InteRead: An Eye Tracking Dataset of Interrupted Reading (2024.lrec-main)
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| Challenge: | Eye movements during reading can provide insights into cognitive processes and language comprehension, but the scarcity of reading data with interruptions hampers advances in the development of intelligent learning technologies. |
| Approach: | They propose a dataset of eye movements during reading that includes eye movements and word frequency effects. |
| Outcome: | The proposed dataset shows that interruptions, word length and word frequency effects significantly impact eye movements during reading. |
Evaluating Pre-training Objectives for Low-Resource Translation into Morphologically Rich Languages (2022.lrec-1)
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| Challenge: | a lack of parallel data is a major limitation for Neural Machine Translation systems, especially for morphologically rich languages. |
| Approach: | They propose to leverage target monolingual data to overcome the lack of parallel data . they introduce a new technique called PT-Inflect to train NMT systems . |
| Outcome: | The proposed techniques outperform NMT systems trained on parallel data on four typologically diverse target languages. |