Pranava Madhyastha
Titel
Zitiert von
Zitiert von
Jahr
Probing the need for visual context in multimodal machine translation
O Caglayan, P Madhyastha, L Specia, L Barrault
arXiv preprint arXiv:1903.08678, 2019
442019
Object counts! bringing explicit detections back into image captioning
J Wang, P Madhyastha, L Specia
arXiv preprint arXiv:1805.00314, 2018
222018
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
202017
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
Learning task-specific bilexical embeddings
PS Madhyastha, X Carreras Pérez, A Quattoni
Proceedings of the 25th International Conference on Computational …, 2014
192014
Distilling translations with visual awareness
J Ive, P Madhyastha, L Specia
arXiv preprint arXiv:1906.07701, 2019
182019
Mapping unseen words to task-trained embedding spaces
PS Madhyastha, M Bansal, K Gimpel, K Livescu
arXiv preprint arXiv:1510.02387, 2015
132015
Learning bilingual projections of embeddings for vocabulary expansion in machine translation
PS Madhyastha, C España-Bonet
Proceedings of the 2nd Workshop on Representation Learning for NLP, 139-145, 2017
122017
On model stability as a function of random seed
P Madhyastha, R Jain
arXiv preprint arXiv:1909.10447, 2019
112019
VIFIDEL: Evaluating the visual fidelity of image descriptions
P Madhyastha, J Wang, L Specia
arXiv preprint arXiv:1907.09340, 2019
92019
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
82019
Exploring the use of acoustic embeddings in neural machine translation
S Deena, RWM Ng, P Madhyastha, L Specia, T Hain
2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2017
82017
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
72019
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
72018
The talp–upc spanish–english wmt biomedical task: Bilingual embeddings and char-based neural language model rescoring in a phrase-based system
M Ruiz Costa-Jussà, C España-i-Bonet, P Madhyastha, ...
ACL 2016: the 54th Annual Meeting of the Association for Computational …, 2016
72016
End-to-end image captioning exploits multimodal distributional similarity
P Madhyastha, J Wang, L Specia
arXiv preprint arXiv:1809.04144, 2018
62018
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
52017
Semantic tuples for evaluation of image sentence generation
LD Ellebracht, A Ramisa, P Swaroop Madhyastha, J Cordero-Rama, ...
Association for Computational Linguistics, 2015
52015
Predicting actions to help predict translations
Z Wu, J Ive, J Wang, P Madhyastha, L Specia
arXiv preprint arXiv:1908.01665, 2019
42019
Tailoring word embeddings for bilexical predictions: An experimental comparison
PS Madhyastha, X Carreras, A Quattoni
arXiv preprint arXiv:1412.7004, 2014
42014
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