ANALYZING ACCURACY OF TAGGING USING HYBRID APPROACH FOR GUJARATI - Bhatt, Dr. Pooja;Gantra, Dr. Amit
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The Part Of Speech tagging in natural language processing applications, and specifically focuses on developing an accurate and efficient POS tagger for the Gujarati language, which is widely spoken in Gujarat. POS tagging involves assigning a tag or marker to each word in a sentence, which can help disambiguate phrases, process information, and transform language.The book highlights the importance of developing effective POS taggers for different languages and provides insights into the approaches that can be used to improve their accuracy.

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Produktbeschreibung
The Part Of Speech tagging in natural language processing applications, and specifically focuses on developing an accurate and efficient POS tagger for the Gujarati language, which is widely spoken in Gujarat. POS tagging involves assigning a tag or marker to each word in a sentence, which can help disambiguate phrases, process information, and transform language.The book highlights the importance of developing effective POS taggers for different languages and provides insights into the approaches that can be used to improve their accuracy.
Autorenporträt
Dr. Pooja Bhatt is an academic with 12.5 years of experience and published over fifteen research papers in various conferences and journals and holds a patent.Dr. Amit Gantra currently holds the position of Provost at Parul University. He has published book, patent and research publications and earned several honorary awards for his contributions.