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        <title>Comparing Recurrent and Convolutional Architectures for English-Hindi Neural Machine Translation</title>
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        <namePart type="given">Sandhya</namePart>
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        <namePart type="given">Ritesh</namePart>
        <namePart type="family">Panjwani</namePart>
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        <namePart type="given">Pushpak</namePart>
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            <title>Proceedings of the 4th Workshop on Asian Translation (WAT2017)</title>
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            <namePart type="given">Toshiaki</namePart>
            <namePart type="family">Nakazawa</namePart>
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            <namePart type="given">Isao</namePart>
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    <abstract>In this paper, we empirically compare the two encoder-decoder neural machine translation architectures: convolutional sequence to sequence model (ConvS2S) and recurrent sequence to sequence model (RNNS2S) for English-Hindi language pair as part of IIT Bombay’s submission to WAT2017 shared task. We report the results for both English-Hindi and Hindi-English direction of language pair.</abstract>
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%0 Conference Proceedings
%T Comparing Recurrent and Convolutional Architectures for English-Hindi Neural Machine Translation
%A Singh, Sandhya
%A Panjwani, Ritesh
%A Kunchukuttan, Anoop
%A Bhattacharyya, Pushpak
%Y Nakazawa, Toshiaki
%Y Goto, Isao
%S Proceedings of the 4th Workshop on Asian Translation (WAT2017)
%D 2017
%8 November
%I Asian Federation of Natural Language Processing
%C Taipei, Taiwan
%F singh-etal-2017-comparing
%X In this paper, we empirically compare the two encoder-decoder neural machine translation architectures: convolutional sequence to sequence model (ConvS2S) and recurrent sequence to sequence model (RNNS2S) for English-Hindi language pair as part of IIT Bombay’s submission to WAT2017 shared task. We report the results for both English-Hindi and Hindi-English direction of language pair.
%U https://aclanthology.org/W17-5717
%P 167-170

Markdown (Informal)

[Comparing Recurrent and Convolutional Architectures for English-Hindi Neural Machine Translation](https://aclanthology.org/W17-5717) (Singh et al., WAT 2017)

• Comparing Recurrent and Convolutional Architectures for English-Hindi Neural Machine Translation (Singh et al., WAT 2017)

ACL

• Sandhya Singh, Ritesh Panjwani, Anoop Kunchukuttan, and Pushpak Bhattacharyya. 2017. Comparing Recurrent and Convolutional Architectures for English-Hindi Neural Machine Translation. In Proceedings of the 4th Workshop on Asian Translation (WAT2017), pages 167–170, Taipei, Taiwan. Asian Federation of Natural Language Processing.