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Pranava Madhyastha
Pranava Madhyastha
City, University of London & Imperial College London
Zweryfikowany adres z city.ac.uk - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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Probing the need for visual context in multimodal machine translation
O Caglayan, P Madhyastha, L Specia, L Barrault
arXiv preprint arXiv:1903.08678, 2019
1222019
Distilling translations with visual awareness
J Ive, P Madhyastha, L Specia
arXiv preprint arXiv:1906.07701, 2019
642019
On model stability as a function of random seed
P Madhyastha, R Jain
arXiv preprint arXiv:1909.10447, 2019
492019
Object counts! bringing explicit detections back into image captioning
J Wang, P Madhyastha, L Specia
arXiv preprint arXiv:1805.00314, 2018
342018
VIFIDEL: Evaluating the visual fidelity of image descriptions
P Madhyastha, J Wang, L Specia
arXiv preprint arXiv:1907.09340, 2019
262019
Simultaneous machine translation with visual context
O Caglayan, J Ive, V Haralampieva, P Madhyastha, L Barrault, L Specia
arXiv preprint arXiv:2009.07310, 2020
222020
WMDO: Fluency-based word mover’s distance for machine translation evaluation
J Chow, L Specia, PS Madhyastha
Proceedings of the Fourth Conference on Machine Translation (Volume 2 …, 2019
222019
Sheffield multimt: Using object posterior predictions for multimodal machine translation
PS Madhyastha, J Wang, L Specia
Proceedings of the second conference on machine translation, 470-476, 2017
222017
Cross-lingual visual pre-training for multimodal machine translation
O Caglayan, M Kuyu, MS Amac, P Madhyastha, E Erdem, A Erdem, ...
arXiv preprint arXiv:2101.10044, 2021
212021
Learning task-specific bilexical embeddings
PS Madhyastha, X Carreras Pérez, AJ Quattoni
Proceedings of the 25th International Conference on Computational …, 2014
212014
Semi-supervised adaptation of RNNLMs by fine-tuning with domain-specific auxiliary features
S Deena, RWM Ng, P Madhyashta, L Specia, T Hain
Proceedings of INTERSPEECH 2017: Conference of the International Speech …, 2017
202017
Mapping unseen words to task-trained embedding spaces
PS Madhyastha, M Bansal, K Gimpel, K Livescu
arXiv preprint arXiv:1510.02387, 2015
192015
Sheffield submissions for WMT18 multimodal translation shared task
C Lala, PS Madhyastha, C Scarton, L Specia
Proceedings of the Third Conference on Machine Translation: Shared Task …, 2018
182018
Curious case of language generation evaluation metrics: A cautionary tale
O Caglayan, P Madhyastha, L Specia
arXiv preprint arXiv:2010.13588, 2020
172020
Learning from multiview correlations in open-domain videos
N Holzenberger, S Palaskar, P Madhyastha, F Metze, R Arora
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
162019
Learning bilingual projections of embeddings for vocabulary expansion in machine translation
PS Madhyastha, C Espana-Bonet
Proceedings of the 2nd Workshop on Representation Learning for NLP, 139-145, 2017
122017
Exploring hypotheses spaces in neural machine translation
F Blain, L Specia, PS Madhyastha
Proceedings of Machine Translation Summit XVI: Research Track, 282-298, 2017
102017
Exploiting multimodal reinforcement learning for simultaneous machine translation
J Ive, AM Li, Y Miao, O Caglayan, P Madhyastha, L Specia
arXiv preprint arXiv:2102.11387, 2021
92021
Deep copycat networks for text-to-text generation
J Ive, PS Madhyastha, L Specia
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
92019
Unraveling the contribution of image captioning and neural machine translation for multimodal machine translation
C Lala, P Madhyastha, JK Wang, L Specia
The Prague Bulletin of Mathematical Linguistics 108 (1), 197-208, 2017
92017
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