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    <titleInfo>
        <title>Urdu To Punjabi Machine Translation System</title>
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    <name type="personal">
        <namePart type="given">Umrinder</namePart>
        <namePart type="given">Pal</namePart>
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    <name type="personal">
        <namePart type="given">Vishal</namePart>
        <namePart type="family">Goyal</namePart>
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    <name type="personal">
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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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            <namePart type="given">Asif</namePart>
            <namePart type="family">Ekbal</namePart>
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    <abstract>Machine Translation is a popular area of NLP research field. There are various approaches to develop a machine translation system like Rule-Based, Statistical, Neural and Hybrid. A rule-Based system is based on grammatical rules and uses bilingual lexicons. Statistical and Neural use the large parallel corpus for training the respective models. Where the Hybrid MT system is a mixture of different approaches. In these days the corpus-based machine translation system is quite popular in NLP research area. But these models demands huge parallel corpus. In this research, we have used a hybrid approach to develop Urdu to Punjabi machine translation system. In the developed system, statistical and various sub-system based on the linguistic rule has been used. The system yield 80% accuracy on a different set of the sentence related to domains like Political, Entertainment, Tourism, Sports and Health. The complete system has been developed in a C#.NET programming language.</abstract>
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        <url>https://aclanthology.org/2020.icon-demos.6</url>
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        <date>2020-12</date>
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            <start>16</start>
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%0 Conference Proceedings
%T Urdu To Punjabi Machine Translation System
%A Singh, Umrinder Pal
%A Goyal, Vishal
%A Lehal, Gurpreet
%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 singh-etal-2020-urdu
%X Machine Translation is a popular area of NLP research field. There are various approaches to develop a machine translation system like Rule-Based, Statistical, Neural and Hybrid. A rule-Based system is based on grammatical rules and uses bilingual lexicons. Statistical and Neural use the large parallel corpus for training the respective models. Where the Hybrid MT system is a mixture of different approaches. In these days the corpus-based machine translation system is quite popular in NLP research area. But these models demands huge parallel corpus. In this research, we have used a hybrid approach to develop Urdu to Punjabi machine translation system. In the developed system, statistical and various sub-system based on the linguistic rule has been used. The system yield 80% accuracy on a different set of the sentence related to domains like Political, Entertainment, Tourism, Sports and Health. The complete system has been developed in a C#.NET programming language.
%U https://aclanthology.org/2020.icon-demos.6
%P 16-18

Markdown (Informal)

[Urdu To Punjabi Machine Translation System](https://aclanthology.org/2020.icon-demos.6) (Singh et al., ICON 2020)

• Urdu To Punjabi Machine Translation System (Singh et al., ICON 2020)

ACL

• Umrinder Pal Singh, Vishal Goyal, and Gurpreet Lehal. 2020. Urdu To Punjabi Machine Translation System. In Proceedings of the 17th International Conference on Natural Language Processing (ICON): System Demonstrations, pages 16–18, Patna, India. NLP Association of India (NLPAI).