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    <titleInfo>
        <title>Punjabi to English Bidirectional NMT System</title>
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    <name type="personal">
        <namePart type="given">Kamal</namePart>
        <namePart type="family">Deep</namePart>
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    <name type="personal">
        <namePart type="given">Ajit</namePart>
        <namePart type="family">Kumar</namePart>
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    <name type="personal">
        <namePart type="given">Vishal</namePart>
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        <dateIssued>2020-12</dateIssued>
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            <title>Proceedings of the 17th International Conference on Natural Language Processing (ICON): System Demonstrations</title>
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            <namePart type="given">Vishal</namePart>
            <namePart type="family">Goyal</namePart>
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        <name type="personal">
            <namePart type="given">Asif</namePart>
            <namePart type="family">Ekbal</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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            <publisher>NLP Association of India (NLPAI)</publisher>
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    <abstract>Machine Translation is ongoing research for last few decades. Today, Corpus-based Machine Translation systems are very popular. Statistical Machine Translation and Neural Machine Translation are based on the parallel corpus. In this research, the Punjabi to English Bidirectional Neural Machine Translation system is developed. To improve the accuracy of the Neural Machine Translation system, Word Embedding and Byte Pair Encoding is used. The claimed BLEU score is 38.30 for Punjabi to English Neural Machine Translation system and 36.96 for English to Punjabi Neural Machine Translation system.</abstract>
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        <url>https://aclanthology.org/2020.icon-demos.3</url>
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        <date>2020-12</date>
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            <start>7</start>
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%0 Conference Proceedings
%T Punjabi to English Bidirectional NMT System
%A Deep, Kamal
%A Kumar, Ajit
%A Goyal, Vishal
%Y Goyal, Vishal
%Y Ekbal, Asif
%S Proceedings of the 17th International Conference on Natural Language Processing (ICON): System Demonstrations
%D 2020
%8 December
%I NLP Association of India (NLPAI)
%C Patna, India
%F deep-etal-2020-punjabi
%X Machine Translation is ongoing research for last few decades. Today, Corpus-based Machine Translation systems are very popular. Statistical Machine Translation and Neural Machine Translation are based on the parallel corpus. In this research, the Punjabi to English Bidirectional Neural Machine Translation system is developed. To improve the accuracy of the Neural Machine Translation system, Word Embedding and Byte Pair Encoding is used. The claimed BLEU score is 38.30 for Punjabi to English Neural Machine Translation system and 36.96 for English to Punjabi Neural Machine Translation system.
%U https://aclanthology.org/2020.icon-demos.3
%P 7-9

Markdown (Informal)

[Punjabi to English Bidirectional NMT System](https://aclanthology.org/2020.icon-demos.3) (Deep et al., ICON 2020)

• Punjabi to English Bidirectional NMT System (Deep et al., ICON 2020)

ACL

• Kamal Deep, Ajit Kumar, and Vishal Goyal. 2020. Punjabi to English Bidirectional NMT System. In Proceedings of the 17th International Conference on Natural Language Processing (ICON): System Demonstrations, pages 7–9, Patna, India. NLP Association of India (NLPAI).