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Marathi bhashetil speech recognition vyavasthe kuthlya bhashetun prabhavita aahet?
Marathi bhashetil speech recognition vyavasthe kuthlya bhashetun prabhavita aahet?
Marathi bhasha itihasat kiti varshanchi parampara aahet?
Marathi bhasha itihasat kiti varshanchi parampara aahet?
Marathi bhashetil natural language processing (NLP) researchers sathi ka konati samasya aahet?
Marathi bhashetil natural language processing (NLP) researchers sathi ka konati samasya aahet?
Marathi bhashetil part-of-speech tagging (POS tagging) kuthlya uddeshat karayche aahe?
Marathi bhashetil part-of-speech tagging (POS tagging) kuthlya uddeshat karayche aahe?
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'Digital India' la kaljat milvalya sathi Marathi bhashetil speech recognition technology chi vikas kiti mahatvachi goshta ahe?
'Digital India' la kaljat milvalya sathi Marathi bhashetil speech recognition technology chi vikas kiti mahatvachi goshta ahe?
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'H.B.Patil ani tyaanche sahakari' POS tagging sathi kay vyavasthit kela?
'H.B.Patil ani tyaanche sahakari' POS tagging sathi kay vyavasthit kela?
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मराठी एन.एल.पी. संशोधनांसाठी मुख्य चुनौती कोणती?
मराठी एन.एल.पी. संशोधनांसाठी मुख्य चुनौती कोणती?
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मराठी एन.एल.पी. संशोधनांसाठी उपकरणे, तंत्रे आणि संसाधने कोणत्या प्रकारे विकसित केल्या जातात?
मराठी एन.एल.पी. संशोधनांसाठी उपकरणे, तंत्रे आणि संसाधने कोणत्या प्रकारे विकसित केल्या जातात?
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मराठीत कोंप्लेक्स वाक्य संरचनेसाठी कोणता मोडेल प्रस्तावित केला?
मराठीत कोंप्लेक्स वाक्य संरचनेसाठी कोणता मोडेल प्रस्तावित केला?
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'मराठी एन.एल.पी. संशोधन' संकल्पनेका कोणता महत्त्वपूर्ण कारक?
'मराठी एन.एल.पी. संशोधन' संकल्पनेका कोणता महत्त्वपूर्ण कारक?
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'महाराष्ट्रातील मुली' हा समुह मुलि कोणता प्रोत्सहि?
'महाराष्ट्रातील मुली' हा समुह मुलि कोणता प्रोत्सहि?
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'मराठी संस्कृती' मुले कोनते प्रकृति?
'मराठी संस्कृती' मुले कोनते प्रकृति?
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Marathi bhasha he kiti prakaracha bhasha aahe?
Marathi bhasha he kiti prakaracha bhasha aahe?
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Marathi bhashetil lipi kuthlya prakarki aahe?
Marathi bhashetil lipi kuthlya prakarki aahe?
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Marathi bhashetil kaunsa vyakaran vakya vapratat?
Marathi bhashetil kaunsa vyakaran vakya vapratat?
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Marathi bhasha madhil vyakaran kiti sapeksha durduvapurna aahe?
Marathi bhasha madhil vyakaran kiti sapeksha durduvapurna aahe?
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Marathi bhashetil kai prakarache astaneek vaakya aahet?
Marathi bhashetil kai prakarache astaneek vaakya aahet?
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Marathi bhashetil kaunsi vyavastha vaparat astat, je Marathi bhasha la ek visesh rup dete?
Marathi bhashetil kaunsi vyavastha vaparat astat, je Marathi bhasha la ek visesh rup dete?
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Marathi bhashetil NLP chya kuthlya kshetra var researcher tyanchi karyashailee karit aahet?
Marathi bhashetil NLP chya kuthlya kshetra var researcher tyanchi karyashailee karit aahet?
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Marathi bhashetil 'Opinion Mining' sathi automated systems chya avashyakta kadhi vicharatlya jali?
Marathi bhashetil 'Opinion Mining' sathi automated systems chya avashyakta kadhi vicharatlya jali?
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Marathi bhashetil kai prakarche vichar vyakt kelayche mag?
Marathi bhashetil kai prakarche vichar vyakt kelayche mag?
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'Named Entity Recognition' sathi Nita Patil ani tyanchi samuha dware ka kayala ghetla?
'Named Entity Recognition' sathi Nita Patil ani tyanchi samuha dware ka kayala ghetla?
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'Part-of-Speech Tagging' sathi H.B.Patil dosti kasa vyavasthit kela?
'Part-of-Speech Tagging' sathi H.B.Patil dosti kasa vyavasthit kela?
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'Sentiment Analysis' sathi V.B.Patil konachi pradhanya kelichi?
'Sentiment Analysis' sathi V.B.Patil konachi pradhanya kelichi?
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Study Notes
The Marathi Language: A Comprehensive Look
Marathi, a language spoken by millions, is the fourth most widely spoken language in India, and the 15th most spoken language globally. This Indo-Aryan language has a rich and complex history, with its roots spanning over 2,500 years. Its origins can be traced back to ancient Maharashtra, a region in western India, where it continues to thrive as a symbol of cultural identity.
Speech Recognition in Marathi
While English might be dominant in speech-based systems, there's a growing interest in developing speech recognition technology for Indian languages such as Marathi. The development of Marathi speech recognition is a crucial step in bridging the gap between the technologically illiterate and the digitally connected world, helping to realize the vision of Digital India.
Natural Language Processing for Marathi
Marathi presents unique challenges to natural language processing (NLP) researchers, such as complex morphological structures and the presence of multiple dialects. Despite these difficulties, progress is being made in Marathi NLP, including part-of-speech tagging, named entity recognition, and opinion mining.
Part-of-Speech Tagging
Part-of-speech (POS) tagging is a fundamental task in NLP, and its application in Marathi is a significant endeavor. Researchers such as H.B. Patil and colleagues have developed rule-based systems for POS tagging using limited corpora.
Opinion Mining in Marathi
Opinion mining, the process of identifying and analyzing subjective information in texts, is an emerging field in Marathi NLP. This research is essential in understanding public opinion and sentiment analysis for Marathi-speaking communities.
Marathi Language Resources and Tools
One of the main challenges in Marathi NLP research is the lack of resources. To address this issue, researchers have developed various tools, techniques, and resources, including morphological analyzers, stemmers, and part-of-speech tagging systems.
Complex Sentence Structure in Marathi
Marathi's complex linguistic structure requires specialized attention to develop robust parsers and tools. For example, V.B. Patil and B.V. Pawar have proposed a framework for modeling complex sentences in Marathi using Link Grammar.
Challenges and Future Prospects
The development of Marathi NLP tools and techniques faces several challenges, including the lack of resources, complex linguistic facts, and the inclusion of prevalent dialects of neighbors. To overcome these challenges, researchers are working on developing new tools and techniques, and future directions for this new and dynamic area of research are being listed.
Marathi, with its rich history and complex linguistic structure, presents unique challenges to researchers seeking to develop tools and techniques for its processing. However, the growing interest and advancements in the field demonstrate the potential for Marathi NLP to contribute to the broader community and bridge the digital divide in India.
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Description
Explore the unique challenges and advancements in Natural Language Processing (NLP) for the Marathi language. Learn about speech recognition, part-of-speech tagging, opinion mining, and the development of resources and tools for processing Marathi text.