%Aigaion2 BibTeX export from Idiap Publications
%Thursday 21 November 2024 12:51:54 PM

@INPROCEEDINGS{Parida_WAT2021_2021,
         author = {Parida, Shantipriya and Panda, Subhadarshi and Kotwal, Ketan and Dash, Amulya Ratna and Dash, Satya Ranjan and Sharma, Yashvardhan and Motlicek, Petr and Bojar, Ondrej},
       projects = {Idiap, EC H2020-ROXANNE},
          month = aug,
          title = {NLPHut's Participation at WAT2021},
      booktitle = {Proceedings of the 8th Workshop on Asian Translation (WAT2021)},
           year = {2021},
          pages = {146--154},
      publisher = {Association for Computational Linguistics},
           isbn = {978-1-954085-63-3},
            url = {https://aclanthology.org/2021.wat-1.16/},
       crossref = {Parida_Idiap-RR-10-2021},
       abstract = {This paper provides the description of shared tasks to the WAT 2021 by our team NLPHut's. We have participated in the English→Hindi Multimodal translation task, English→Malayalam Multimodal translation task, and Indic Multi-lingual translation task. We have used the state-of-the-art Transformer model with language tags in different settings for the translation task and proposed a novel "region-specific" caption generation approach using a combination of image CNN and LSTM for the Hindi and Malayalam image captioning. Our submission tops in English→Malayalam Multimodal translation task (text-only translation, and Malayalam caption), and ranks second-best in English→Hindi Multimodal translation task (text-only translation, and Hindi caption). Our submissions have also performed well in the Indic Multilingual translation tasks.},
            pdf = {https://publications.idiap.ch/attachments/papers/2021/Parida_WAT2021_2021.pdf}
}



crossreferenced publications: 
@TECHREPORT{Parida_Idiap-RR-10-2021,
         author = {Parida, Shantipriya and Panda, Subhadarshi and Kotwal, Ketan and Dash, Amulya Ratna and Dash, Satya Ranjan and Sharma, Yashvardhan and Motlicek, Petr and Bojar, Ondrej},
       projects = {Idiap, EC H2020-ROXANNE},
          month = {7},
          title = {NLPHut’s Participation at WAT2021},
           type = {Idiap-RR},
         number = {Idiap-RR-10-2021},
           year = {2021},
    institution = {Idiap},
       crossref = {Parida_WAT2021_2021},
       abstract = {This paper provides the description of shared tasks to the WAT 2021 by our team NLPHut's. We have participated in the English→Hindi Multimodal translation task, English→Malayalam Multimodal translation task, and Indic Multi-lingual translation task. We have used the state-of-the-art Transformer model with language tags in different settings for the translation task and proposed a novel "region-specific" caption generation approach using a combination of image CNN and LSTM for the Hindi and Malayalam image captioning. Our submission tops in English→Malayalam Multimodal translation task (text-only translation, and Malayalam caption), and ranks second-best in English→Hindi Multimodal translation task (text-only translation, and Hindi caption). Our submissions have also performed well in the Indic Multilingual translation tasks.},
            pdf = {https://publications.idiap.ch/attachments/reports/2021/Parida_Idiap-RR-10-2021.pdf}
}