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Journal articles on the topic 'Telugu and Tamil'

Author: Grafiati

Published: 4 June 2021

Last updated: 28 July 2025

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1

S, Govindammal. "Characteristics of Telugu in Middle Dravidian Languages." International Research Journal of Tamil 4, S-5 (2022): 12–16. http://dx.doi.org/10.34256/irjt22s52.

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Telugu language can be mentioned next to tamil in terms of antiquity and pronuncication. Telugu is spoken in andhra pradesh and place like south africa in our indian country telugu is the second most widely spoken language after hindi. It is a literary language like tamil. Those who study the reson for the name o this language will think in various ways that the word thrillingam was changed to telugu and it is also believed that the word ‘Tenuge’ which meens sweetness was given knowing that it was telugu. Many grammars have been written in the language from the western country. Northern Schola

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Sulochana, N. "தெலுங்கு உறவுமுறைச் சொற்கள்". Shanlax International Journal of Tamil Research 5, № 1 (2020): 84–89. http://dx.doi.org/10.34293/tamil.v5i1.3410.

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Kinship is a fundamental feature, the most universal and basic of all human relationships, and it is based on the ties of blood, marriage, or adoption. Kinship terminologies consist of the terms used to refer to culturally recognized kinship relations between people. Research in the anthropology field has shown that kin terminologies have a complex combinatorial structure, and it varies systematically across all the cultures and traditions. The study examines the kinship terms in the Telugu language spoken in the southern part of Tamil Nadu. The main intention of the article is to bring up the

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G, Savitha. "Family Relations in the Moral Values Expressed by Dravidian Literature." International Research Journal of Tamil 4, S-5 (2022): 211–15. http://dx.doi.org/10.34256/irjt22s533.

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Dr. Robert Caldwell learned Tamil when he came to Tamil Nadu to do religious work. In the Dravidian language family, Tamil is known as the classical language. He studied linguistically that Tamilam was the Tramilam and the Tramilam was Dravidian and found that Tamil was the oldest and the first of the Dravidian languages. Knowing that Kannada, Telugu, and Malayalam are like Tamil with grammar and literary dialogues, he wrote a book of a comparative grammar book. In 1856, Caldwell was the first to introduce the term "comparison grammar book of Dravidian languages" or "south Indian family langua

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T, Balamurugan, and Ashwin K. "The Spiritual Quest and Marginalization Based on Slum Novel." International Research Journal of Tamil 4, S-3 (2022): 30–34. http://dx.doi.org/10.34256/irjt22s35.

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In abroad, blacks and whites are racially diverse. Although no one explicitly supports this, it is in the form of intrinsic fire. As far as India is concerned, although the distinctions of race, caste, class, language and religion are not admirable, it is a fiery fire and sometimes apparently shown. Today, Dalit literature in Tamil has established itself in the identity of a significant development. Since the outlook of Dalit literature written by Dalits has been broadened today, it is necessary to mention here the status of Dalit life in Telugu literature in terms of translated novels beyond

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Prabhakaran, Varijakshi. "Tamil lexical borrowings in South African Telugu." South African Journal of Linguistics 12, no. 1 (1994): 26–31. http://dx.doi.org/10.1080/10118063.1994.9724343.

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Nelapati, Ratna Kanth, and Saraswathi Selvarajan. "Affect Recognition in Human Emotional Speech using Probabilistic Support Vector Machines." International Journal on Recent and Innovation Trends in Computing and Communication 10, no. 2s (2022): 166–73. http://dx.doi.org/10.17762/ijritcc.v10i2s.5924.

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The problem of inferring human emotional state automatically from speech has become one of the central problems in Man Machine Interaction (MMI). Though Support Vector Machines (SVMs) were used in several worksfor emotion recognition from speech, the potential of using probabilistic SVMs for this task is not explored. The emphasis of the current work is on how to use probabilistic SVMs for the efficient recognition of emotions from speech. Emotional speech corpuses for two Dravidian languages- Telugu & Tamil- were constructed for assessing the recognition accuracy of Probabilistic SVMs. Re

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Bygani, Jalaja kumari, Yella Venkateshwaralu, and K. V. Ramana. "A Sentence Level Classification of Telugu News Document using Sentiment Analysis." E3S Web of Conferences 391 (2023): 01037. http://dx.doi.org/10.1051/e3sconf/202339101037.

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In recent years, sentiment analysis-based categorization in low-resource languages and regional languages has become a hot topic in natural language processing. Researchers are more interested in categorizing sentiment in Indian languages such as Hindi, Telugu, Tamil, Bengali, Malayalam, and others. To the best of our knowledge, no microscopic study on Indian languages has been published to yet due to a lack of annotated data. Using Telugu sentiment analysis, we presented a two-phase classification technique for Telugu news phrases in this work. It first recognizes subjectivity categorization,

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Emeneau, M. B. "The Palatalizing Rule in Tamil-Malayalam and Telugu." Journal of the American Oriental Society 115, no. 3 (1995): 401. http://dx.doi.org/10.2307/606217.

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Prabhakaran, Varijakshi. "Tamil influence on South African Telugu — phonological adjustments." South African Journal of Linguistics 12, no. 2 (1994): 67–74. http://dx.doi.org/10.1080/10118063.1994.9724350.

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Joseph, Martin. "Migration of Telugu Catholics in Madras Presidency – ce 1780–1910." International Journal of Asian Christianity 7, no. 1 (2024): 30–60. http://dx.doi.org/10.1163/25424246-07010003.

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Abstract The Catholic dioceses of Madras-Mylapore and Chingleput are home to 44 Telugu Catholic villages. These villages were established between 1780 and 1910 by Telugu Catholics who migrated from Andhra Pradesh to Tamil Nadu. This article delves into archival materials to trace the origins and destinations of these migrants, the factors that prompted their migration, the key protagonists and institutions involved, the caste dynamics at play, the assimilation process, and the contributions they made to the local society from a historical perspective. While this article primarily focuses on re

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Bharti, Santosh Kumar, Reddy Naidu, and Korra Sathya Babu. "Hyperbolic Feature-based Sarcasm Detection in Telugu Conversation Sentences." Journal of Intelligent Systems 30, no. 1 (2020): 73–89. http://dx.doi.org/10.1515/jisys-2018-0475.

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AbstractRecognition of sarcastic statements has been a challenge in the process of sentiment analysis. A sarcastic sentence contains only positive words conveying a negative sentiment. Therefore, it is tough for any automated machine to identify the exact sentiment of the text in the presence of sarcasm. The existing systems for sarcastic sentiment detection are limited to the text scripted in English. Nowadays, researchers have shown greater interest in low resourced languages such as Hindi, Telugu, Tamil, Arabic, Chinese, Dutch, Indonesian, etc. To analyse these low resource languages, the b

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Panchadara, Kiranmaye. "Enhancing Named Entity Recognition in Low-Resource Dravidian Languages A Comparative Analysis of Multilingual Learning and Transfer Learning Techniques." Journal of Artificial intelligence and Machine Learning 2, no. 1 (2024): 1–7. https://doi.org/10.55124/jaim.v2i1.238.

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Named Entity Recognition (NER) is a crucial task in Natural Language Processing (NLP), yet its performance in low-resource languages, such as Kannada, Malayalam, Tamil, and Telugu of the Dravidian language family, remains challenging due to limited linguistic resources. Originating from India, these languages represent a rich linguistic diversity, but they often lack adequate resources for technological advancements. In this study, we explore methods to enhance NER performance in these low-resource Indian languages using multilingual learning and transfer learning techniques. Leveraging mBERT,

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Daniels, Sarah I., John C. Chambers, Sylvia S. Sanchez, et al. "Elevated Levels of Organochlorine Pesticides in South Asian Immigrants Are Associated With an Increased Risk of Diabetes." Journal of the Endocrine Society 2, no. 8 (2018): 832–41. http://dx.doi.org/10.1210/js.2017-00480.

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Abstract Objective Rates of diabetes mellitus are higher in South Asians than in other populations and persist after migration. One unexplored cause may be higher exposure to persistent organic pollutants associated with diabetes in other populations. We compared organochlorine (OC) pesticide concentrations in South Asian immigrants and European whites to determine whether the disease was positively associated with OC pesticides in South Asians. Research Design and Methods South Asians of Tamil or Telugu descent (n = 120) and European whites (n = 72) were recruited into the London Life Science

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Vijaya, M., S. Kanthimathi, C. R. Srikumari, P. Govinda Reddy, P. P. Majumder, and A. Ramesh. "A Study on Telugu – Speaking Immigrants of Tamil Nadu, South India." International Journal of Human Genetics 7, no. 4 (2007): 303–6. http://dx.doi.org/10.1080/09723757.2007.11886010.

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V, Vijayalakshmi. "Bharthi's Language Personality." International Research Journal of Tamil 4, S-11 (2022): 195–99. http://dx.doi.org/10.34256/irjt224s1128.

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Bharathi was the one who came to refine this world with his singing talent. He showed a new way to high Tamil who showed good manners. He stepped into the world of journalism at a time when nationalism was floating in Tamil Nadu. He was a multilingual scholar. Apart from his mother tongue, Tamil, he was proficient in English, French, Telugu, and Sanskrit. However, he compares Tamil with these languages and praises it as a superior classical language. Bharathi, who was born in the southern part of Tamil Nadu as a moon, came to protect the pride and heritage of our culture and to remove the dark

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A, Sridevi. "Olaichuvadi Or Aaivu." International Research Journal of Tamil 3, S-1 (2021): 213–17. http://dx.doi.org/10.34256/irjt21s134.

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The sanga noolgal andru Olaichuvadi were sleeping on the yon. In Tamil research, you began to engage in U. V. Swaminatha Iyer. After the disappearance of the disappearance, his home had received 500 running walls. Among them have received ancient texts, including Eight Anthologies, Ten Idylls, Pathinen Keelkanaku, Civaka Cintamani and Konguvel Makkathai. On that time, the account is writing. Talking is the name of the original (trace) written plates. At that time, the king of the king was written by the writer of the writer and their leader of their leader. There is a man who calls a message t

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V, Manickaboopathi. "Rajanarayanan in the Dravidian Aesthetic Tradition." International Research Journal of Tamil 4, S-5 (2022): 267–70. http://dx.doi.org/10.34256/irjt22s541.

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The tradition of Dravidian ideology encompasses a variety of material and historical implications. None of the literary and artistic activities emerge in isolation, but rather from the folds of history and social upheavals, and history has two sides. Which side we stand on has to do with our mental system and cultural understanding. The 2,000-year-old Tamil tradition has been influenced by various kinds of literature that support the foundations of Dravidian philosophy. Jain Buddhism, which was once very strong in the Tamil community, took materialism to the fore. They classified human beings

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Koyya, Sivatejaa Kahul. "Struggle for Emancipation and Dalit Consciousness in the Autobiography My Father Baliah." CASTE / A Global Journal on Social Exclusion 6, no. 1 (2025): 116–30. https://doi.org/10.26812/caste.v6i1.1758.

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Dalit life narratives as a genre from the Telugu states are of recent origin. Unlike life narratives in Marathi, Hindi, and Tamil languages, few from the Telugu states caught the attention of scholars. Despite this, Y.B. Satyanarayana, a teacher and writer from Telangana wrote an auto/biography, My Father Baliah, in 2011 making it a valuable addition to the stream of Dalit life writings. It narrates an inspiring story of three generations spanning across two centuries. Originally written in English, this life narrative serves as an important intervention in the social history of India because

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Mrs.Deepa Rani. "True glimpses of Southern Sub-Continents of the India." international journal of engineering technology and management sciences 8, no. 2 (2024): 46–49. http://dx.doi.org/10.46647/ijetms.2024.v08i02.006.

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India is an Integral part of the Asian continent and it is the second largest country in this. Bharath is acknowledges world -wide for its unique peculiarities amalgamated with Tasty food, Good medicine, vast culture, noble literature, Marvelous Building Architecture Adventure. Southern States here are advanced developed fully equipped with sophisticated Technology. People lived in the six regions including Telangana, Andhra Pradesh, Karnataka, Tamilnadu, Kerala and Union Territory Puddichhery, Culture, Tradition, festivals and rituals enjoyed commonly. Languages spoken Telugu, Tamil, Tulu, Ma

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Kumar K., Vimal, and Divakar Yadav. "Word Sense Based Hindi-Tamil Statistical Machine Translation." International Journal of Intelligent Information Technologies 14, no. 1 (2018): 17–27. http://dx.doi.org/10.4018/ijiit.2018010102.

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Corpus based natural language processing has emerged with great success in recent years. It is not only used for languages like English, French, Spanish, and Hindi but also is widely used for languages like Tamil, Telugu etc. This paper focuses to increase the accuracy of machine translation from Hindi to Tamil by considering the word's sense as well as its part-of-speech. This system works on word by word translation from Hindi to Tamil language which makes use of additional information such as the preceding words, the current word's part of speech and the word's sense itself. For such a tran

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Garugu, Srisudha, and D. Lalitha Bhaskari. "A Hybrid Optimization Approach for Neural Machine Translation Using LSTM+RNN with MFO for Under Resource Language (Telugu)." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 7 (2023): 354–66. http://dx.doi.org/10.17762/ijritcc.v11i7.8002.

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NMT (Neural Machine Translation) is an innovative approach in the field of machine translation, in contrast to SMT (statistical machine translation) and Rule-based techniques which has resulted annotable improvements. This is because NMT is able to overcome many of the shortcomings that are inherent in the traditional approaches. The Development of NMT has grown tremendously in the recent years but NMT performance remain under optimal when applied to low resource language pairs like Telugu, Tamil and Hindi. In this work a proposedmethod fortranslating pairs (Telugu to English) is attempted, an

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K.G., Kavitha. "GLORY OF KANNADA LITERATURE DURING THE VIJAYANAGARA EMPIRE- A STUDY." Shanlax International Journal of Arts, Science and Humanities 6, S2 (2019): 19–26. https://doi.org/10.5281/zenodo.2806320.

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<em>Vijayanagara literature</em> <em>was produced in theVijayanagara Empire during a golden age of litera-ture in South India in general. The rulers patronisedKannada, Telugu and Sanskrit and Tamil scholars who wrote in the Jain, Virashaiva and Vaishnava traditions. The period produced hundreds of works on all aspects of Indian culture, religion, biographies, Prabhandas (stories), music, grammar, poetics and medicine. Anattempt is made in this section to list t

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J, Raja Sornam. "Caldwell's Educational Service on ‘Karisal Mann’ (Black Soil)." International Research Journal of Tamil 4, S-4 (2022): 37–41. http://dx.doi.org/10.34256/irjt22s46.

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The Gurukul system of education was only available in a few places in ancient India. Christian missionaries transformed this condition, establishing the current educational system and bringing education to all people, regardless of caste, creed, colour, or social rank. Robert Caldwell, in particular, made significant contribution in providing education to the poor in South India throughout the nineteenth century. In Idayangudi, Tirunelveli, he undertook various reformatory activities in the areas of gospel, Tamil language, society, medicine, and education. Robert Caldwell was born in Antrim, I

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Jayanthi, V., and S. Thenmalar. "Tamil OCR Conversion from Digital Writing Pad Recognition Accuracy Improves through Modified Deep Learning Architectures." Journal of Sensors 2023 (August 4, 2023): 1–13. http://dx.doi.org/10.1155/2023/6897719.

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Digital handwritten recognition is an emerging field in optical character recognition (OCR). A digital writing pad replaces manual writing. In digital writing, the alphabet changes in font and shape. During OCR recognition, covert text file errors occur due to digital pen pressure and digital pen position on the digital pad by the writer. The shape changes in the alphabet lead to an error during the conversion of OCR to text. The above problem arises in Tamil, Chinese, Arabic, and Telugu, where the alphabet consists of bends, curves, and rings. OCR-to-text conversion for the Tamil language has

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S, Jeyashree. "Rama Ravana Battle Scenes in Tamil Temple Sculptures." International Research Journal of Tamil 4, SPL 2 (2022): 349–56. http://dx.doi.org/10.34256/irjt22s253.

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The Ramayana and the Mahabharata are immortal epics that are the treasury of Indian culture. Both epics convey the values and ideals that people need. The Ramayana written in the Northern language by Valmiki is in some way the source for other Indian language Ramayanas. Kambana in Tamil and Konaputharetti in Telugu have composed Kambaramayana and Iranganatha Ramayana respectively. Sculptures can be found in the temples of Tamil Nadu including these three language Ramayanas. Thus, it is possible to realize that literature and art are interrelated. Many of the Alvars in the Vaishnava literary fo

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Kothai Nachiyar, Aranga. "Data Testing in Digital Transmission: Tamil Literature." Shanlax International Journal of Tamil Research 8, no. 3 (2024): 49–57. http://dx.doi.org/10.34293/tamil.v8i3.7086.

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The developing area of Optical Character Recognition (OCR) is digital handwriting recognition. Manual writing is replaced by a digital writing pad. The font and shape of the letters vary while writing digitally. The writer’s digital pen pressure and position on the digital pad cause covert text file problems during OCR recognition. When converting OCR to text, an error occurs because of the variations in letter shapes. In languages like Tamil, Chinese, Arabic, and Telugu, where the alphabet is made up of bends, curves, and rings, the aforementioned issue occurs. Tamil has more word mistakes in

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Krishnamurthy, Parameswari. "Development of Telugu-Tamil Transfer-Based Machine Translation System: An Improvization Using Divergence Index." Journal of Intelligent Systems 28, no. 3 (2019): 493–504. http://dx.doi.org/10.1515/jisys-2018-0214.

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Abstract Building an automatic, high-quality, robust machine translation (MT) system is a fascinating yet an arduous task, as one of the major difficulties lies in cross-linguistic differences or divergences between languages at various levels. The existence of translation divergence precludes straightforward mapping in the MT system. An increase in the number of divergences also increases the complexity, especially in linguistically motivated transfer-based MT systems. This paper discusses the development of Telugu-Tamil transfer-based MT and how a divergence index (DI) is built to quantify t

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ம., மலர் /. M. Malar. "தென்னிந்திய மொழிகளின் மொழியும் ஒலி அமைப்பும் / Language and Phonetic System of South Indian Languages". Chenkaantal 4, № 1 (2024): 45–54. https://doi.org/10.5281/zenodo.14250197.

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<em>Tamil language and its phonetic system are unique. The other South Indian languages such as Telugu, Kannada, Malayalam, Tulu etc has similar patterns and has very close association with Tamil. In uttering a sound the mouth and the respiratory system helps to produce it. The organs of the body such as the lungs, larynx, vocal cords, tongue, uvula, teeth, palate, and nostrils are used to produce sounds. The sounds are produced while the air from the lungs flows freely or it is connected with the oral organs. These organs helps to produce sounds and also perform other functions such as assimi

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Sakariyas, Sandhra, Kotakonda Shruthi, Gish Chacko, and Aparna Ravichandran. "Translation and Validation of Voice Disorder Outcome Profile in Telugu Language." Journal of Indian Speech Language & Hearing Association 38, no. 2 (2024): 101–5. https://doi.org/10.4103/jisha.jisha_21_23.

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Abstract Introduction: Voice is an important identity for humans, it is the medium through which we communicate with the outside world; our ideas, emotions and personality. A voice disorder is a condition that affects the quality, pitch, or loudness of your voice, or makes it inappropriate for your age, gender, or other factors. Various vocal abnormalities may have varying degrees of QOL impact on individuals. Aim: There are only few clinical tests available in Indian languages to assess the quality of life of a person with voice disorders. Voice – Disorder Outcome Profile (Voice-DOP) is one a

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Chatterjee, Indrani. "When “Sexuality” Floated Free of Histories in South Asia." Journal of Asian Studies 71, no. 4 (2012): 945–62. http://dx.doi.org/10.1017/s0021911812001246.

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From the 1960s to the present, scholars of Sanskrit, Tamil, Telugu, Bengali, and other regional literatures and cultures have spelled out their differences with either their Freudian or Foucauldian counterparts on the articulation of love, desire, and embodiment in these literatures (Alter 1997; Benton 2006; Dimock 1966; Doniger 1973; Doniger and Kakar 2002; Kakar 1989; Kakar and Ross 1986; Ramanujan 1981; Ramanujan, Rao, and Shulman 1994; Stoler Miller 1977; Sweet 2002; Wujastyk 2005, 2009; Zysk 2002). The subcontinent's textual cultures, they argue, interrogate Freudian notions of human pers

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முனைவர், தி. பரிமளா /. Dr T. Parimala. "அருள்மிகு ஸ்ரீ கோணம்மாள் அம்மன் வரலாறும் திருவிழாக்களும் (கருப்பட்டி கிராமம்) / Arulmigu Sri Konammal Amman History and Festivals (Karuppatti Village)". பாண்டியன் கோவில் கலைகள் தமிழ் ஆய்விதழ் / Pandian Tamil Journal of Temple Studies 2, № 1 (2021): 27–45. https://doi.org/10.5281/zenodo.5802640.

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<em>Man feared the power of nature and was created to worship nature as God. Worship of deities expanded as village deities, tribal deities, and other deities. Village deities and clan deities are idols. They are not related to the Gods of the Vedas claim. These do not have large buildings, untimely Pujas or big Festivals. This local idolatry is just opposite to a normal one. These deities belong to a clan or a group of people with a small temple and other patterns related to the big temples. It can be called ancestral worship. The deities are revered for their good nature. People crowded ther

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H M, Prof Kotresh. "AI Based Multilingual College Enquiry Voice Bot Using Python." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 4300–4305. http://dx.doi.org/10.22214/ijraset.2024.60961.

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Abstract: This paper addresses the growing need for seamless cross-language communication in our global society. Leveraging AI, it offers a versatile conversational agent capable of understanding and responding to inquiries in multiple languages. Through speech recognition and advanced NLP, the system interprets user intent and retrieves relevant information from a college database. Integrated language translation services enable communication in various languages namely-Kannada, English, Tamil and Telugu enhancing accessibility. Responses are dynamically translated into the user's preferred l

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M K, Akash. "Smart Education: An English Text-to- Indian Regional Language Translator." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47376.

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ABSTRACT Communication and learning are fundamental to education, but language barriers often hinder access to quality resources for non-English speakers in India. Smart Education is a modern web-based translation tool designed to convert educational content from English to Indian regional languages such as Hindi, Kannada, Tamil, and Telugu. With multilingual support, the tool leverages advanced technologies like Tesseract.js for image text extraction, Mammoth.js for DOCX files, PDF.js, and the MyMemory API for accurate translation. It supports various formats including text, Word documents, P

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Khairnar, Jagruti Girdhar, G. Patil Sulbha, and P.Pawar Sunil. "A Compresive Review on Cynodon Dactylon." Journal of Advances in Experimental Therapeutics and Neurotherapeutics 2, no. 2 (2024): 1–9. https://doi.org/10.5281/zenodo.11273511.

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<em>Widely distributed throughout India, Cynodon dactylon (L) Pers is a perennial herb of the Poeaceae family. It goes by several names in multiple Indian languages, such as Dhro in Gujarati, Durva in Marathi, Durba in Bengali, Garichgaddi in Telugu, Arukampillu in Tamil, and Shataparva in Sanskrit. Cynodon dactylon is important in traditional medical systems and ethnomedical practices. Because of its many medicinal benefits, it is used as a powder, paste, or juice to treat a variety of illnesses.Numerous metabolites, including proteins, carbohydrates, minerals, flavonoids, carotenoids, alkalo

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R, Nagendran. "A study of cattle-lifting and it's modalities in Puranaanuru." International Research Journal of Tamil 4, S-8 (2022): 55–61. http://dx.doi.org/10.34256/irjt22s87.

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Grammar or Grammatical syntax forms the crux of the language. Grammar is an essential one not only in Tamil but also for all the world languages. Tamil language is one of the oldest surviving languages in the world. Any language can be refined language provided that language will be spoken by a large group of people and also it should heaviest own literariness. Among the languages spoken in India Tamil, Telugu, Konda, Tulu and Coorg forms the Dravidian linguistic family group. They are identified as the refined languages from the Dravidian group. Both the language and the literatures contribut

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Ganganwar, Vaishali, and Ratnavel Rajalakshmi. "MTDOT: A Multilingual Translation-Based Data Augmentation Technique for Offensive Content Identification in Tamil Text Data." Electronics 11, no. 21 (2022): 3574. http://dx.doi.org/10.3390/electronics11213574.

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The posting of offensive content in regional languages has increased as a result of the accessibility of low-cost internet and the widespread use of online social media. Despite the large number of comments available online, only a small percentage of them are offensive, resulting in an unequal distribution of offensive and non-offensive comments. Due to this class imbalance, classifiers may be biased toward the class with the most samples, i.e., the non-offensive class. To address class imbalance, a Multilingual Translation-based Data augmentation technique for Offensive content identificatio

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Panchanan, Suparna, Nilav Darsan Mukhopadhyay, Ranjan Banerjee, et al. "Multifractal Detrended Cross-Correlation Analysis for Characterization of Spoken Language – A New Method to explore the Genesis of Languages." Journal of Neonatal Surgery 14, no. 5S (2025): 590–607. https://doi.org/10.52783/jns.v14.2100.

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This work presents a novel use of chaos-based non-linear techniques coupled with statistical methods for spoken language characterization in the speech signal domain. Our goal is to create a framework that highlights linguistic commonalities. While Multifractal Detrended Cross-Correlation Analysis (MFDXA) assesses long-term cross-correlations between languages using the cross-correlation coefficient as a measure of similarity, Multifractal Detrended Fluctuation Analysis (MF-DFA) is used to examine linguistic correlations among the languages. Bengali, Assamese, Maithili, Odia, Nepali, Manipuri,

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Badiger, Ramesh M., Rajesh Yakkundimath, Guruprasad Konnurmath, and Praveen M. Dhulavvagol. "Deep Learning Approaches for Age-based Gesture Classification in South Indian Sign Language." Engineering, Technology & Applied Science Research 14, no. 2 (2024): 13255–60. http://dx.doi.org/10.48084/etasr.6864.

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This study focuses on recognizing and categorizing South Indian Sign Language gestures based on different age groups through transfer learning models. Sign language serves as a natural and expressive communication method for individuals with hearing impairments. This study intends to develop deep transfer learning models, namely Inception-V3, VGG-16, and ResNet-50, to accurately identify and classify double-handed gestures in South Indian languages, like Kannada, Tamil, and Telugu. A dataset comprising 30,000 images of double-handed gestures, with 10,000 images for each considered age group (1

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Shukla, Sudhir Krishna, Rashi Srivastava, and Kum Kum Ray. "Translating Land into Stage: Observations on the Patterns and Presentations in Girish Karnad’s ‘Hayavadana’ and ‘Nagamandala’." International Journal of English Literature and Social Sciences 9, no. 2 (2024): 218–26. http://dx.doi.org/10.22161/ijels.92.32.

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This research paper examines the patterns and presentations in Girish Karnad’s major plays. Girish Raghunath Karnad (19 May 1938-10 June 2019) was the foremost Kannada playwright of India. In addition to writing plays, he was also an actor, film director, and a Jnanpith awardee, who dominated in the fields of Hindi, Kannada, Tamil, Malayalam, Telugu, and Marathi films. His ascent to prominence as a playwright in the 1960s signaled the advent of contemporary Indian playwriting in Kannada as Badal Sarkar, Vijay Tendulkar, and Mohan Rakesh did in Bengali, Marathi, and Hindi respectively. He used

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Bodduluri, Srihareendra, Mani Krishna, Ratan Babu, and M. V. Raghunadh. "A Novel Way of Identifying Telugu, Tamil and English Scripts by Priority check using Discerning Features." IOSR Journal of Electronics and Communication Engineering 9, no. 6 (2014): 28–34. http://dx.doi.org/10.9790/2834-09612834.

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Kale, Sunil D., Rajesh Prasad, Girish P. Potdar, Parikshit N. Mahalle, Deepak T. Mane, and Gopal D. Upadhye. "A Comprehensive Review of Sentiment Analysis on Indian Regional Languages: Techniques, Challenges, and Trends." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9s (2023): 93–110. http://dx.doi.org/10.17762/ijritcc.v11i9s.7401.

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Sentiment analysis (SA) is the process of understanding emotion within a text. It helps identify the opinion, attitude, and tone of a text categorizing it into positive, negative, or neutral. SA is frequently used today as more and more people get a chance to put out their thoughts due to the advent of social media. Sentiment analysis benefits industries around the globe, like finance, advertising, marketing, travel, hospitality, etc. Although the majority of work done in this field is on global languages like English, in recent years, the importance of SA in local languages has also been wide

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R.D., Pavamana. "Temperance Activism in the Anti-Colonial Movement in Karnataka." Shanlax International Journal of Arts, Science and Humanities 6, S1 (2019): 188–92. https://doi.org/10.5281/zenodo.3335896.

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The imperialist policy of the British had resulted in fragmentation of the Kannada provinces into 22 administrative units. Of these various units, the largest Kannada speaking population was found in the State of Mysore. While Marathi was predominant in the Bombay- Karnataka regions Telugu and to some extent Tamil in Madras – Karnataka. Since the division in the administration had been done to suit the convenience of the imperial policy, it was diffi cult to forge a common front of Kannadigas in the context of nationalism. Bombay and Poona were the centers of intense nationalistic activi

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Ghosh, Rajib, Partha Pratim Roy, and Prabhat Kumar. "Smart Device Authentication Based on Online Handwritten Script Identification and Word Recognition in Indic Scripts Using Zone-Wise Features." International Journal of Information System Modeling and Design 9, no. 1 (2018): 21–55. http://dx.doi.org/10.4018/ijismd.2018010102.

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Secure authentication is a vital component for device security. The most basic form of authentication is by using passwords. With the evolution of smart devices, selecting stronger and unbreakable passwords have become a challenging task. Such passwords if written in native languages tend to offer improved security since attackers having no knowledge of such scripts finding it hard to crack. This article proposes two zone-wise feature extraction approaches - zone-wise structural and directional (ZSD) and zone-wise slopes of dominant points (ZSDP), to recognize online handwritten script and wor

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Jacob Soman, Saini, P. Swaminathan, R. Anandan, and K. Kalaivani. "A comparative review of the challenges encountered in sentiment analysis of Indian regional language tweets vs English language tweets." International Journal of Engineering & Technology 7, no. 2.21 (2018): 319. http://dx.doi.org/10.14419/ijet.v7i2.21.12394.

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With the developed use of online medium these days for sharing views, sentiments and opinions about products, services, organization and people, micro blogging and social networking sites are acquiring a huge popularity. One of the biggest social media sites namely Twitter is used by several people to share their life events, views and opinion about different areas and concepts. Sentiment analysis is the computational research of reviews, opinions, attitudes, views and peoples’ emotions about different products, services, firms and topics through categorizing them as negative and positive emot

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Rane, Kirti, Tanaya Bagwe,, Shruti Chaudhari, Ankita Kale, and Gayatri Deore. "Enhancing En-X Translation: A Chrome Extension-Based Approach to Indic Language Models." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem42782.

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Language translation is the lifeblood of any communication that crosses linguistic boundaries. Recent trends in the domain of neural machine translation (NMT) are already superior to the old traditions. In such circumstances, the works done by Prahwini et al. (2024) and Vandan Mujadia et al. (2024) highlight the application of NMT for resource-constrained Indian languages. In view of many challenges like parallel corpus scarcity, we present a real-time adaptable translation model that works on the Fairseq framework. It provides high-accuracy translations for Assamese, Gujarati, Kannada, Bengal

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Nandhitha M, Vasundhara. "SIGNVISION – A SMART BIDIRECTIONAL SIGN LANGUAGE TRANSLATOR." International Scientific Journal of Engineering and Management 04, no. 06 (2025): 1–9. https://doi.org/10.55041/isjem04464.

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Abstract: Sign Vision is all-in-one solution for transparent communication by providing instant two-way translation of sign and spoken language. It uses state of the art computer vision, deep learning, and speech processing technologies to understand gestures and convert them into text and speech. Comment It also translates speech into animated sign images. Sign Vision supports several Indian languages and with its accessible interface, it is a versatile tool for communication, useful in public spaces, schools and healthcare settings. Sign Vision consists of multiple integrated modules that ha

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B Meenakshi, Mohammed Wajahat Hussain, and Mittapalli Arvind Sai. "Real-Time Multilingual Speech Translation for Peer Communication." International Research Journal on Advanced Engineering Hub (IRJAEH) 3, no. 06 (2025): 2893–98. https://doi.org/10.47392/irjaeh.2025.0427.

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Language continues to be a major obstacle to effective communication in a world that is becoming more interconnected by the day. This paper presented a real-time audio translation system that facilitates multilingual communication during peer-to-peer video calls. The application enables natural communication in the user’s preferred language by utilizing WebRTC for low-latency media transmission and incorporating sophisticated AI models such as Whisper for speech-to-text, GPT for language translation, and gTTS for text-to-speech synthesis. In addition to allowing real-time subtitle overlays and

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V., Veeresh, Sumankanth K., Kavinsarathi S., Sreeharan P., and Anandraj M. "Migrant Care : A Web-based Support System for Migrant Workers." Journal of Information Technology and Digital World 7, no. 1 (2025): 42–55. https://doi.org/10.36548/jitdw.2025.1.004.

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Migrant Care aims to enhance support for Migrant workers in Tamil Nadu by developing a web-based platform to address challenges such as language barriers, limited real-time assistance, and inefficient administrative oversight. The proposed method involves developing a centralized system using Next.js for frontend, Convex for real-time backend services, and Firebase for secure authentication, enabling worker registration, complaint submission with immediate email notifications, and immediate announcements The research has integrated the i18n to resolve the language barrier, it supports six lang

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L. Ramakrishna. "Pichiguntala @ Helava @ Vamsharaj: Genealogical nomadic tribes of India." World Journal of Advanced Research and Reviews 17, no. 1 (2023): 133–49. http://dx.doi.org/10.30574/wjarr.2023.17.1.0005.

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Pichiguntala are one of the ancient Genealogical Nomadic Tribes in India. Their existence only found in the southern parts of India. The origins of these nomadic tribes are dating back to 8th Century C.E. These people have very meagre in their populations numbering less than 0.05% of the total populations of the southern states. These Pichiguntalas are basically from the Telugu speaking areas of present day divided Andhra Pradesh and Telangana States. They are found to be the heirs of legendary Shaivite religious Hindu leader Kunti Malla Reddy of Srisailam (Nallamala Hills). The word Kunti mea

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L., Ramakrishna. "Pichiguntala @ Helava @ Vamsharaj: Genealogical nomadic tribes of India." World Journal of Advanced Research and Reviews 17, no. 1 (2023): 133–49. https://doi.org/10.5281/zenodo.8053807.

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Pichiguntala are one of the ancient Genealogical Nomadic Tribes in India. Their existence only found in the southern parts of India. The origins of these nomadic tribes are dating back to 8th Century C.E. These people have very meagre in their populations numbering less than 0.05% of the total populations of the southern states. These Pichiguntalas are basically from the Telugu speaking areas of present day divided Andhra Pradesh and Telangana States. They are found to be the heirs of legendary Shaivite religious Hindu leader Kunti Malla Reddy of Srisailam (Nallamala Hills). The word Kunti mea

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