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    <titleInfo>
        <title>Survey of Pseudonymization, Abstractive Summarization &amp; Spell Checker for Hindi and Marathi</title>
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    <name type="personal">
        <namePart type="given">Rasika</namePart>
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        <namePart type="given">Mohammed</namePart>
        <namePart type="given">Amaan</namePart>
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    <name type="personal">
        <namePart type="given">Ayush</namePart>
        <namePart type="family">Rajpurohit</namePart>
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    <name type="personal">
        <namePart type="given">Amey</namePart>
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            <title>Proceedings of the 21st International Conference on Natural Language Processing (ICON)</title>
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            <namePart type="given">Sobha</namePart>
            <namePart type="family">Lalitha Devi</namePart>
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        <name type="personal">
            <namePart type="given">Karunesh</namePart>
            <namePart type="family">Arora</namePart>
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    <abstract>India‘s vast linguistic diversity presents unique challenges and opportunities for technological advancement, especially in the realm of Natural Language Processing (NLP). While there has been significant progress in NLP applications for widely spoken languages, the regional languages of India, such as Marathi and Hindi, remain underserved. Research in the field of NLP for Indian regional languages is at a formative stage and holds immense significance. The paper aims to build a platform which enables the user to use various features like text anonymization, abstractive text summarization and spell checking in English, Hindi and Marathi language. The aim of these tools is to serve enterprise and consumer clients who predominantly use Indian Regional Languages.</abstract>
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        <date>2024-12</date>
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            <start>368</start>
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%0 Conference Proceedings
%T Survey of Pseudonymization, Abstractive Summarization & Spell Checker for Hindi and Marathi
%A Ransing, Rasika
%A Dhamaskar, Mohammed Amaan
%A Rajpurohit, Ayush
%A Dhoke, Amey
%A Dalvi, Sanket
%Y Lalitha Devi, Sobha
%Y Arora, Karunesh
%S Proceedings of the 21st International Conference on Natural Language Processing (ICON)
%D 2024
%8 December
%I NLP Association of India (NLPAI)
%C AU-KBC Research Centre, Chennai, India
%F ransing-etal-2024-survey
%X India‘s vast linguistic diversity presents unique challenges and opportunities for technological advancement, especially in the realm of Natural Language Processing (NLP). While there has been significant progress in NLP applications for widely spoken languages, the regional languages of India, such as Marathi and Hindi, remain underserved. Research in the field of NLP for Indian regional languages is at a formative stage and holds immense significance. The paper aims to build a platform which enables the user to use various features like text anonymization, abstractive text summarization and spell checking in English, Hindi and Marathi language. The aim of these tools is to serve enterprise and consumer clients who predominantly use Indian Regional Languages.
%U https://aclanthology.org/2024.icon-1.42/
%P 368-375

Markdown (Informal)

[Survey of Pseudonymization, Abstractive Summarization & Spell Checker for Hindi and Marathi](https://aclanthology.org/2024.icon-1.42/) (Ransing et al., ICON 2024)

• Survey of Pseudonymization, Abstractive Summarization & Spell Checker for Hindi and Marathi (Ransing et al., ICON 2024)

ACL

• Rasika Ransing, Mohammed Amaan Dhamaskar, Ayush Rajpurohit, Amey Dhoke, and Sanket Dalvi. 2024. Survey of Pseudonymization, Abstractive Summarization & Spell Checker for Hindi and Marathi. In Proceedings of the 21st International Conference on Natural Language Processing (ICON), pages 368–375, AU-KBC Research Centre, Chennai, India. NLP Association of India (NLPAI).