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Questions and Answers
मराठी भाषेच्या किती अक्षरांची वर्णमाला आहे?
मराठी भाषेच्या किती अक्षरांची वर्णमाला आहे?
मराठी भाषेत 'Subject-Object-Verb' चे क्रम कोणते आहे?
मराठी भाषेत 'Subject-Object-Verb' चे क्रम कोणते आहे?
मराठी भाषेत कितपत 'Parts of Speech' आहेत?
मराठी भाषेत कितपत 'Parts of Speech' आहेत?
'Marathi WorldNet' हे कोणत्या प्रकारचं स्रोत आहे?
'Marathi WorldNet' हे कोणत्या प्रकारचं स्रोत आहे?
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'Marathi WorldNet' मध्ये कोणत्या संबंधांमध्ये मागेरता आहेत?
'Marathi WorldNet' मध्ये कोणत्या संबंधांमध्ये मागेरता आहेत?
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'Marathi language processing (MLP)' संबंधित कोणत्या कलेक्टरुरसनियुंत्रकांसह सामना करतं?
'Marathi language processing (MLP)' संबंधित कोणत्या कलेक्टरुरसनियुंत्रकांसह सामना करतं?
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मराठी भाषेत कोणत्या दोन लायब्ररी आहेत ज्यांना भारतीय भाषांसाठी सामान्य मजकुरा आणि NLP सोबतच सेवा उपलब्ध केले आहे?
मराठी भाषेत कोणत्या दोन लायब्ररी आहेत ज्यांना भारतीय भाषांसाठी सामान्य मजकुरा आणि NLP सोबतच सेवा उपलब्ध केले आहे?
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'iNLTK' म्हणून कोणत्या प्रकारच्या पुस्तके मराठीसह संबंधित सूत्रसंचिका, प्रतिक्रिया संग्रह, व पुस्तक, प्रमुखत: समाचार किंवा पुस्तके, चा विस्तृत संग्रह समाविष्ट केला?
'iNLTK' म्हणून कोणत्या प्रकारच्या पुस्तके मराठीसह संबंधित सूत्रसंचिका, प्रतिक्रिया संग्रह, व पुस्तक, प्रमुखत: समाचार किंवा पुस्तके, चा विस्तृत संग्रह समाविष्ट केला?
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मराठी भाषेत 'Text Processing and NLP' कसे महत्वपूर्ण मंत्र आहे?
मराठी भाषेत 'Text Processing and NLP' कसे महत्वपूर्ण मंत्र आहे?
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'Marathi Language Processing' म्हणून पेश केलेल्या संशोधनांमध्ये कोणती अपूर्णता आहे?
'Marathi Language Processing' म्हणून पेश केलेल्या संशोधनांमध्ये कोणती अपूर्णता आहे?
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Study Notes
Discovering Marathi: The Language and Its Resources
Marathi, a language spoken by over 83 million people in India, is the third most widely spoken language on the subcontinent and the 15th most common in the world. Nestled in the western region of India, Marathi's rich cultural heritage and intricate linguistic structure have fueled a growing interest in research and technology aimed at enriching its representation in natural language processing (NLP).
Marathi's Linguistic Characteristics
Marathi is an Indo-Aryan language with an alphabet of 11 vowels and 36 consonants. Its linguistic structure follows the Subject-Object-Verb (SOV) order and includes inflection for gender, number, and case. The language comprises eight main Parts of Speech (POS): Noun, Verb, Adjective, Adverb, Pronoun, Postposition, Conjunction, and Interjection.
Resources and Techniques for Marathi NLP
The study of Marathi language processing (MLP) faces several challenges, including limited resources, complex linguistic facts, and the inclusion of dialects. To address these challenges, researchers have been developing tools and techniques for NLP tasks, such as Word Sense Disambiguation (WSD), part-of-speech tagging, and named entity recognition.
Resources
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Marathi WorldNet: A machine-readable dictionary modeled after the English WordNet, providing relations between synsets and their different relations, such as synonymy, hyponymy, antonymy, and entailment.
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IndicCorp Corpora: A large publicly available corpus, which includes Marathi and consists of thousands of web sources, primarily news, magazines, and books, providing a vast amount of data for NLP research.
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Indic NLP Library and Natural Language Toolkit for Indic Languages (iNLTK): Two Python-based libraries that provide common text processing and NLP solutions for Indian languages, including Marathi. They offer solutions for text normalization, script information, word tokenization, de-tokenization, sentence splitting, word segmentation, syllabification, and translation.
Techniques
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Word Sense Disambiguation: A major area of research in Marathi language processing, with studies like Gauri Dhopavkar's rule-based solution for Marathi language text.
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Text Processing and NLP: Researchers have been developing techniques for text normalization, script information, word tokenization, de-tokenization, sentence splitting, word segmentation, syllabification, and translation.
Future Steps and Challenges
Despite the progress made in researching Marathi, there is still a need for improved resources, techniques, and collaboration among researchers to tackle the challenges faced by the language and its speakers. By working together, researchers can make Marathi a more prominent and accessible language across various domains, including education, media, and technology.
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Description
Test your knowledge on Marathi language processing resources and techniques with this quiz. Explore the linguistic characteristics of Marathi, popular resources like Marathi WorldNet and IndicCorp Corpora, as well as techniques such as Word Sense Disambiguation and text processing.
