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मराठी भाषा भारतात दुसऱ्याव्यतिक्रमात अधिक बोलली जाते.
False
मराठी भाषेत 'पुरुष', 'संख्या', 'क्रम', व 'काळ'साठी inflection केले जाते.
False
'Varhadii' मराठी भाषेत एक प्रमुख dialect आहे.
False
Marathi WorldNet हे machine-readable dictionary मराठीमध्ये आहे.
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मराठी NLP Research हा इतर मुख्य भाषांपेक्षा पिछाडत आहे.
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IndicCorp म्हणजे १३ भारतीय भाषांचा एक मोठा सर्वसाधारण कोर्पस आहे, ज्यामध्ये मराठी भाषेची समाविष्टी आहे.
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MahaEmoSen म्हणजे मराठी Twitter पोस्ट्ससाठी भावना-जाणक सेंटिमेंट विश्लेषणासाठी एक बहुसंवेदी उपाय.
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मराठी भाषेसाठी कृत्रिम मोजने सुधारित करण्याच्या तंत्रज्ञानिक संशोधनात काम करत आहेत.
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मराठी भाषा प्रक्रियेचा पुनरुत्थान करून करत असलेल्या प्रगतीत, संसाधन अभाव, संकटमय भाषिक सत्त्ये, आणि प्रसिद्ध बोलीतील संतुलन समाविष्ट करून करत असलेल्या काही समस्या अपल्या.
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मराठी भाषा प्रक्रियेचे पुनरुत्थान करून करत असलेल्या प्रगतीत, हे प्रौढपणे महत्त्वपूर्ण होते, प्रकृतम, विज्ञानिक, आणि मनुष्‍्््््््््््््््््््््््््््््््््््््ुप, हे पुनरुत्थान सु-प्रौढपणे होने हे प्रमुख.
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Study Notes
Discovering Marathi: Exploring the Language and Its Applications
Marathi, an Indo-Aryan language, is the third most spoken language in India and the 15th most spoken in the world. With a rich history and varied dialects, Marathi is a language that offers a fascinating tapestry of linguistic and cultural complexity.
Marathi Language Structure
Marathi follows the Subject-Object-Verb structure and inflects for gender, number, case, and tense. The language has eight main Parts of Speech (POS): Noun, Verb, Adjective, Adverb, Pronoun, Postposition, Conjunction, and Interjection.
Language Dialects
Marathi is spoken in various dialects across Maharashtra and neighboring regions. Some of the prominent dialects include Varhadii, Gawdi of Goa, Nagpuri Marathi, Dangii, Malwani, Kudali, Kasargod, Kosti, Ahirani of Khandeshi, and others.
Resources and Techniques for Marathi NLP
Research on Marathi language processing is growing, but it still lags behind other major languages due to the lack of resources. Nonetheless, significant efforts have been made to develop resources and techniques to overcome this challenge. Some of the tools and resources are:
- Marathi WorldNet: A machine-readable dictionary based on WordNet that organizes synsets in a semantic network.
- Indic NLP Library and Natural Language Toolkit for Indic Languages (iNLTK): These libraries provide general solutions for common text processing and Natural Language Processing (NLP) tasks in Indian languages.
- IndicCorp: A large publicly-available corpus containing 13 Indian languages, including Marathi.
- MahaEmoSen: A multimodal approach for emotion-aware sentiment analysis of Marathi Twitter posts.
- Marathi Speech Recognition: Researchers are working on improving speech recognition techniques for Marathi.
Challenges and Future Prospects
Despite the advances made in Marathi language processing, there are still several challenges to overcome, such as the lack of resources, complex linguistic facts, and the inclusion of prevalent dialects.
As Marathi continues to grow in importance, both academically and technologically, the need for continued research and development is increasingly important. The potential benefits of Marathi language processing for education, commerce, and government speak for themselves, and the promise of bridging the technology gap for Marathi speakers is one that should be embraced.
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Description
Explore the structure, dialects, resources, and challenges of the Marathi language, along with the advancements in Natural Language Processing (NLP) specific to Marathi. Test your knowledge on the linguistic and cultural complexity of Marathi and its applications.
