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सध्याच्या डिजिटल युगात 'मराठी' भाषेचा कोणत्या प्रकारचा अद्ययावत असतो?
Natural Language Processing (NLP) = मराठी वर्डनेट विकसित करणे Emotion-aware multimodal Marathi sentiment analysis = भाषांतर करणे iNLTK = सोशल मीडिया पोस्टच्या टेक्स्चुअल आणि विजुअल मोडालिटीतील संघटन Marathi WordNet = कृती, विधी, वैमेयक, औपचारिक
'मराठी' भाषेत 'क्रिया' किती प्रकारे आहेत?
1 = सर्वाधिक होमोनिमस 2 = पूर्ण, संक्षेप 3 = सक्रिय, पैशाचिक 4 = प्रसन्न, दु:खी
'मराठी' भाषेत 'संधि' कोणत्या प्रकारच्या आहे?
व्यंजन संधि = क्रिया-संधि संहिता संधि = समास संधि सर्वनाम संधि = प्रत्येक संहिता संधी कॉन्जेक्शन संधि = पुनरुक्ति संहिता
'मराठी' भाषेमध्ये 'क्रिया' कोणत्या प्रकारेचे होते?
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'मराठी' भाषेत 'सहन मोस् ' कोनत्या प्रकारचे होते?
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खास विकटता असलेल्या प्रकारांमध्ये कोणत्या कमीएपूर्ण मराठी भाषाचे विचारण?
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कोणते संसाधन मराठीसाठी उपलब्ध आहेत?
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कोनता प्रकल्प मराठीतील अंतिम सुहास किंवा प्रतिबंध करू शकतो?
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कोणते मराठी भाषेत प्रमुख संकेत संहिता उपलब्ध आहे?
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मराठी भाषेत प्रतिबंध कोणते मुशिबले महसूस होते?
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Study Notes
Discovering Marathi: The Language and its Applications
Marathi, a rich and vibrant language primarily spoken in the Indian state of Maharashtra, has a unique place in the world of linguistics. With a diverse and intricate grammar structure, Marathi is part of the Indo-Aryan family of languages and is the third most spoken language in India and the 15th most spoken in the world.
Grammar and Syntax
Marathi follows a Subject-Object-Verb order and inflects for gender, number, and case. It has eight main parts of speech: Noun, Verb, Adjective, Adverb, Pronoun, Postposition, Conjunction, and Interjection.
Marathi in the Digital Age
Researchers have begun to explore Marathi's potential in the digital age, focusing on natural language processing (NLP) to understand, analyze, and translate the language. The availability of resources and tools for Marathi NLP is limited, but efforts are being made to bridge this gap through initiatives such as developing Marathi WordNet, Indic NLP Library, and the Natural Language Toolkit for Indic Languages (iNLTK).
Sentiment Analysis
To understand people's emotions, researchers have developed an emotion-aware multimodal Marathi sentiment analysis method called MahaEmoSen, which leverages emotions embedded in tweets besides assimilating content-based information from textual and visual modalities of social media posts.
Challenges in Marathi Language Processing
Marathi has several dialects, complex linguistic facts, and a lack of resources, which make it a challenging language to process. Word Sense Disambiguation (WSD) is particularly challenging due to the lack of resources and the difficulty in resolving ambiguity in Marathi language text.
Resources and Corpora
Some of the resources available for Marathi include Marathi WorldNet, a machine-readable dictionary, and IndicCorp, a publicly available corpus that consists of thousands of web sources in various formats.
Marathi presents a unique opportunity for researchers to explore its intricacies, develop new tools, and expand its digital reach. With the rising popularity of Marathi in the digital age, its potential to connect with a broader audience has never been more promising.
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Description
Delve into the intricacies of the Marathi language, from its unique grammar structure to its applications in natural language processing (NLP) and sentiment analysis. Learn about the challenges in processing Marathi text and the resources available for researchers and developers.
