ViraPart: A Text Refinement Framework for Automatic Speech Recognition and Natural Language Processing Tasks in Persian

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Framework for Automatic Speech Recognition and Natural Language Processing Tasks in Persian</title> <meta name="description" content="ViraPart: A Text Refinement Framework for Automatic Speech Recognition and Natural Language Processing Tasks in Persian"> <meta name="keywords" content="Persian Ezafe, punctuation, ZWNJ, NLP, ParsBERT, transformers"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" 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</div> <div class="card publication-listing mt-3 mb-3"> <h5 class="card-header" style="font-size:.9rem">ViraPart: A Text Refinement Framework for Automatic Speech Recognition and Natural Language Processing Tasks in Persian</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Narges%20Farokhshad">Narges Farokhshad</a>, <a href="https://publications.waset.org/abstracts/search?q=Milad%20Molazadeh"> Milad Molazadeh</a>, <a href="https://publications.waset.org/abstracts/search?q=Saman%20Jamalabbasi"> Saman Jamalabbasi</a>, <a href="https://publications.waset.org/abstracts/search?q=Hamed%20Babaei%20Giglou"> Hamed Babaei Giglou</a>, <a href="https://publications.waset.org/abstracts/search?q=Saeed%20Bibak"> Saeed Bibak</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Persian language is an inflectional subject-object-verb language. This fact makes Persian a more uncertain language. However, using techniques such as Zero-Width Non-Joiner (ZWNJ) recognition, punctuation restoration, and Persian Ezafe construction will lead us to a more understandable and precise language. In most of the works in Persian, these techniques are addressed individually. Despite that, we believe that for text refinement in Persian, all of these tasks are necessary. In this work, we proposed a ViraPart framework that uses embedded ParsBERT in its core for text clarifications. First, used the BERT variant for Persian followed by a classifier layer for classification procedures. Next, we combined models outputs to output cleartext. In the end, the proposed model for ZWNJ recognition, punctuation restoration, and Persian Ezafe construction performs the averaged F1 macro scores of 96.90%, 92.13%, and 98.50%, respectively. Experimental results show that our proposed approach is very effective in text refinement for the Persian language. <iframe src="https://publications.waset.org/abstracts/143102.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Persian%20Ezafe" title="Persian Ezafe">Persian Ezafe</a>, <a href="https://publications.waset.org/abstracts/search?q=punctuation" title=" punctuation"> punctuation</a>, <a href="https://publications.waset.org/abstracts/search?q=ZWNJ" title=" ZWNJ"> ZWNJ</a>, <a href="https://publications.waset.org/abstracts/search?q=NLP" title=" NLP"> NLP</a>, <a href="https://publications.waset.org/abstracts/search?q=ParsBERT" title=" ParsBERT"> ParsBERT</a>, <a href="https://publications.waset.org/abstracts/search?q=transformers" title=" transformers"> transformers</a> </p> <a href="https://publications.waset.org/abstracts/143102/virapart-a-text-refinement-framework-for-automatic-speech-recognition-and-natural-language-processing-tasks-in-persian" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/143102.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">218</span> </span> </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational 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ViraPart: A Text Refinement Framework for Automatic Speech Recognition and Natural Language Processing Tasks in Persian