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Journal articles on the topic 'Telugus'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Mocherla, Ashok Kumar. "We Called Her Peddamma: Caste, Gender, and Missionary Medicine in Guntur: 1880–1930." International Journal of Asian Christianity 3, no. 1 (February 28, 2020): 69–84. http://dx.doi.org/10.1163/25424246-00301005.

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The medical work carried out by Dr. Anna Sarah Kugler in the town of Guntur (1880–1930), which was a part of the Telugu speaking region of the erstwhile Madras Presidency, as a foreign medical missionary associated with the mission field of the then General Synod of the Lutheran Church in America, constitutes a significant phase in the history of medicine and gender in South India. Despite bringing about visible changes in gender perceptions of medical professions, strangely, she or her work finds no mention in the social science literature on history of medicine in modern South India in general and coastal Andhra Pradesh in particular. This paper explores the nature and patterns of definitive changes that gender roles and patriarchal structures among the Telugus residing in coastal Andhra Pradesh have undergone after coming under the influence of a mission hospital in Guntur established by Dr. Anna Sarah Kugler. By doing so, it also brings out an analysis on how this medical institution transformed the firmly-held traditional perceptions and stereotypes on the sources of illness, disease, and treatments, and in turn laid the foundation for modern medicine to establish itself in South India.

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2

Sahoo, Ajaya Kumar. "Issues of Identity in the Indian Diaspora: A Transnational Perspective." Perspectives on Global Development and Technology 5, no. 1-2 (2006): 81–98. http://dx.doi.org/10.1163/156915006777354482.

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AbstractIndia is unique for the magnitude of her diversities in terms of languages and regions, religions and sects, castes and sub-castes, rural and urban, food and style of dress, which are also reflected by her diasporic communities. There are diasporic communities formed on the basis of linguistic or regional identities such as Punjabis, Gujaratis, Sindhis, Tamils, Malayalees and Telugus. Global organizations such as Global Organization of People of Indian Origin (GOPIO), World Telugu Federation (WTF), and World Punjabi Organization (WPO), have recently emerged to preserve and promote the identities and cultures of Indians, uniting transnationally India and the global Indian diaspora. The past decade has witnessed a phenomenal dynamism among the diasporic communities, made possible by the recent advancement in technologies of travel, transport, and communications. Not only did these developments bring the diasporic communities and their motherland closer but they also facilitated in bringing together the members of their community dispersed around the world. The present article examines this emerging trend with the illustration of one of the important regional Indian diasporic communities, the Gujarati Diaspora. Gujaratis, the people from the central western parts of India, are one of the early Indian communities who have ventured out to different parts of the world for multiple reasons. Today, as one of the prominent Indian diasporic communities in the world, Gujaratis are successful not only in business, which is their first love, but also in professional fields such as technology, science, medicine, and business management.

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3

Daniels, Sarah I., John C. Chambers, Sylvia S. Sanchez, Michele A. La Merrill, Alan E. Hubbard, Anthony Macherone, Matthew McMullin, 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 (May 22, 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 Sciences Population Study cohort. Blood samples as well as biometric, clinical, and survey data were collected. Plasma levels of p,p′-dichlorodiphenyldichloroethylene (DDE), p,p′- dichlorodiphenyltrichloroethane, β-hexachlorohexane (HCH), and polychlorinated biphenyl-118 were analyzed by gas chromatography-mass spectrometry. South Asian cases and controls were categorized by binary exposure (above vs below the 50th percentile) to perform logistic regression. Results Tamils had approximately threefold to ninefold higher levels of OC pesticides, and Telugus had ninefold to 30-fold higher levels compared with European whites. The odds of exposure to p,p′-DDE above the 50th percentile was significantly greater in South Asian diabetes cases than in controls (OR: 7.00; 95% CI: 2.22, 22.06). The odds of exposure to β-HCH above the 50th percentile was significantly greater in the Tamil cases than in controls (OR: 9.35; 95% CI: 2.43, 35.97). Conclusions South Asian immigrants have a higher body burden of OC pesticides than European whites. Diabetes mellitus is associated with higher p,p′-DDE and β-HCH concentrations in this population. Additional longitudinal studies of South Asian populations should be performed.

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4

Suppiah, Ummadevi, and Sivachandralingam Sundara Raja. "The Indian Diaspora in Malaya." Indian Historical Review 44, no. 2 (December 2017): 252–69. http://dx.doi.org/10.1177/0376983617726472.

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The historiography of Malaya that deals with Indian diaspora rarely differentiates Indians on the basis of their ethnic3 origins and their relationships during the British era. The ethnic Indian populations during the British era comprised the majority Tamils, and the other groups such as the Telugus, Malayalees, Gujeratis, Chettiars, Sikhs and Indian Muslims. The ethnic groupings among those of Indian origin could be divided into three main economic classes: labour, business and civil service. This article focuses on the Chettiars as the group that comprised the business class and looks at their interactions with the other ethnic groups of Indian origin belonging to the labour class and civil service. This article demonstrates that although the Chettiar provided credit to other Indian ethnic groups, the moneylending system was one-sided, favouring only the Chettiar, who did not play a positive role in ensuring the overall socio-economic interests and welfare of working class Indians.

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5

Katten, Michael. "Manufacturing Village Identity and Its Village: The View From Nineteenth-Century Andhra." Modern Asian Studies 33, no. 1 (January 1999): 87–120. http://dx.doi.org/10.1017/s0026749x99003133.

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Upon inquiring into a boundary dispute between Tooringi and the Dutch-owned village of Jagannaikpuram, Leveston G. K. Murray asked generally of inhabitants ‘how far they supposed their ground extended’. But on that day in April 1795, and to Murray's dismay, he ‘received no other answer than that they did not know’. L. G. K. Murray and Mr Topander, both East India Company officials based in Masulipatam on the Teluga-speaking Andhra Coast of Southeast India, then tried a different approach, and showed those gathered a ‘Gentoo Paper’ containing a Dutch account of the nature of the boundary between the two villages. The consensus among the Telugu-speaking onlookers, in fact, was that the document was in order. No one proposed any problems with its authenticity to those Company officers.

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6

Bhaskararao, Peri, and Arpita Ray. "Telugu." Journal of the International Phonetic Association 47, no. 2 (July 14, 2016): 231–41. http://dx.doi.org/10.1017/s0025100316000207.

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Telugu (tel) belongs to the Dravidian family of languages and is spoken by 7.19% of the population of India (Census of India 2001b). At different stages of its development over centuries, the vocabulary of Telugu has been considerably influenced by various languages, such as Sanskrit, Prakrit,2 Perso-Arabic and English. A major consequence of this influence is that the phonemic system of Telugu has been extended by additional sets of sounds. Thus, the aspirates /pʰ bʱ tʰ dʱ ʈʰ ɖʱ ʧʰ ʤʱ kʰ ɡʱ/ and fricatives /ʃ ʂ h/, absent in the native phonemic system, entered the language through Sanskrit borrowings. Similarly, /f/ entered the language through Perso-Arabic and English borrowings. Some of the sounds from Perso-Arabic and English sources were nativized, for example, Perso-Arabic and English phoneme /ʃ/ was rendered as /ʂ/, which had already entered the language through borrowings from Sanskrit/Prakrit; Perso-Arabic phonemes /qx ɣ z/ were rendered as /kkʰ ɡ ʤ/ respectively; and the English phoneme /θ/ was rendered as /tʰ/. English borrowings also resulted in re-phonemicization. In native Telugu vocabulary, [ɛ] and [ӕː] are allophones of /e/ and /eː/ respectively, but they acquire phonemic status when words borrowed from English are included in the total vocabulary of the language.

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7

Reddy, Gautham. "The Andhra Sahitya Parishat: Language, nation and empire in colonial South India (1911–15)." Indian Economic & Social History Review 56, no. 3 (July 2019): 283–310. http://dx.doi.org/10.1177/0019464619852266.

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The Andhra Sahitya Parishat or the Telugu Academy as it was also known occupied a definitive role in the formation of a Telugu public and the development of Telugu literary activism in the early twentieth century. This essay revisits the early years of the Andhra Sahitya Parishat (1911–15) in order to examine questions related to the origins of ‘Telugu Classicism’ and its relationship to Indian negotiations with colonial modernity. By reviewing the Parishat’s membership, early interventions in public literary controversies, and its successful attempts to position itself as a nationalist intermediary, this essay produces new insights on the emergence and aspirations of an English-educated Telugu middle class. Ultimately, it demonstrates that Telugu Classicism was an integral dimension of early twentieth-century projects to modernise the Telugu language and constructively contributed to the imagination of Telugu as a ‘national’ as well as ‘classical’ language in an era of British imperialism.

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8

Kamath, Harshita Mruthinti. "Two Bhaktas, One District: Revisioning Hagiography and Imagery in Telugu South India." Journal of Hindu Studies 12, no. 2 (August 1, 2019): 168–91. http://dx.doi.org/10.1093/jhs/hiz015.

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Abstract The hagiography of the bhakti poet is often times far more elaborate than their compositions and can even determine the interpretation of their poetic productions (Pechilis 2011). The hagiography can exceed the spaces of written or orally composed poetry to shape the visual imagery of the bhakti poet-saint. This article examines two such instances of constructed hagiography and visual imagery in Telugu-speaking southern India, namely those of Siddhendra and Kṣetrayya. Situated within a few kilometres of each other in what is now known as the Krishna district of Andhra Pradesh, Siddhendra and Kṣetrayya are imagined as paradigmatic bhakti poet-saints whose compositions are integral to Telugu arts and performance. The similarity in hagiography and visual imagery across these two figures is a direct byproduct of twentieth-century Telugu proponents who made concerted efforts to position Telugu arts within a pan-Indian modernist framework of bhakti. Telugu scholars and performers invoke bhakti discourses and imagery to frame both Siddhendra and Kṣetrayya as Telugu bhakti poet-saints. In doing so, Telugu proponents imbue their arts with religious weight, while also positing the Brahmin-dominated areas of the Krishna district as the heart of Telugu performance culture.

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9

Shacham, Ilanit Loewy. "Expanding domains and the personal, imperial style of Kṛṣṇadevarāya." Indian Economic & Social History Review 56, no. 3 (July 2019): 311–37. http://dx.doi.org/10.1177/0019464619852437.

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In modern literary histories of Telugu literature, no period shines as bright as King Kṛṣṇadevarāya’s reign (1509–29). This period is noted for its bustling literary court from which a significant part of the Telugu canon emerged. These works, commonly referred to as the prabandhas, are often characterised as the Telugu counterpart of the Sanskrit mahākāvya/court poem and within this context, Kṛṣṇadevarāya’s reign is called ‘the golden age’ of Telugu literature and the ‘age of prabandha’. Close examination of the prabandhas indicates that despite common influences from Sanskrit and Telugu literature, each of the prabandhas, takes a radically different approach to poetry, convention, and language, and is innovative in extremely diverse ways. As a case study, this article uses Kṛṣṇadevarāya’s own celebrated Telugu poem, the Āmuktamālyada. Though Kṛṣṇadevarāya uses many of the conventions associated with Sanskrit courtly culture in general and with the mahākāvya in particular, he does so in unconventional ways. He gives everyday life a new, prominent role (previously unavailable to it in mahākāvyas) and is able to do so by creating a new type of division of labour between Sanskrit and Telugu. He also integrates new poetic realms such as the village and temple into the so-called courtly settings, creating a new mode of narration. Thus, examined outside the context of the golden age of the Telugu prabandha, the Āmuktamālyada emerges as a work in which previous schemes of power are inverted: the periphery and so-called margins—social, geographic, linguistic, and religious—create a new core which in turn, reflects Kṛṣṇadevarāya’s unique personal and political worldview.

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10

Subrahmanyam, Mslb, V. Vijaya Kumar, and B. Eswara Reddy. "A novel method for segmenting and straightening of text lines in handwritten Telugu documents based on smearing and regression approach." International Journal of Engineering & Technology 7, no. 3 (August 22, 2018): 1846. http://dx.doi.org/10.14419/ijet.v7i3.13286.

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In handwritten document images, segmenting text lines is a very challenging task due to various reasons like variability in intra baseline skew and inter line distance between text lines. So far, no work is reported in the literature for the straightening of handwritten Telugu languages. Telugu is one of the most popular languages of India that is spoken by more than 80 million people especially in South India. Telugu characters are mostly compound characters and that is way the straightening task of Telugu document is more challenging tasks than European languages. This paper introduces a novel approach for segmenting and straightening text lines of handwritten Telugu documents based on smearing and regression approach (SRA). This method initially performs preprocessing and estimates parameters by dividing into connected components of Telugu script. A horizontal and vertical run length-smearing algorithm is used in this paper to shape text lines. To identify text lines more precisely cubic polynomial regression is used between vertical midpoints of two blocks of compound handwritten Telugu characters. A simple logic is derived on this to achieve final process. We tested the proposed algorithm with three different kind of 1000 handwritten documents. The performance of proposed method is evaluated by using matchScore, detection rate, recognition accuracy and F-measure. The experimental results indicates the efficiency of the proposed method over the existing methods.

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11

Trautmann, Thomas R. "Hullabaloo About Telugu." South Asia Research 19, no. 1 (April 1999): 53–70. http://dx.doi.org/10.1177/026272809901900104.

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12

Kamath, Harshita Mruthinti. "Kṣētrayya: The making of a Telugu poet." Indian Economic & Social History Review 56, no. 3 (July 2019): 253–82. http://dx.doi.org/10.1177/0019464619852264.

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Kṣētrayya is the attributed author of Telugu padams (short lyrical poems) dedicated to Muvva Gōpāla, a form of the Hindu deity Kṛṣṇa. Kṣētrayya is commonly described as a peripatetic poet from the village of Muvva in Telugu-speaking South India who wandered south to the Nāyaka courts of Tanjavur in the seventeenth century. Contrary to popular and scholarly assumptions about this poet, this article argues that Kṣētrayya was not a historical figure, but rather, a literary persona constructed into a Telugu bhakti poet-saint through the course of three centuries of literary reform. A close reading of selected padams attributed to Kṣētrayya reveals the uniquely tangible world of female sexuality painted by the speakers of these poems. However, these padams became sanitized through the course of colonial and post-colonial anti-nautch and Telugu literary reform. In line with this transformation, the hagiography of the poet Kṣētrayya was carefully molded to fit a prefabricated typology of a Telugu bhakti poet-saint. Countering the longstanding narrative of solo male authorship, the article raises the possibility that these padams were composed by multiple authors, including vēśyas (courtesans).

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13

Sanker, Chelsea. "Effects of laryngeal features on vowel duration: implications for Winter’s Law." Papers in Historical Phonology 3 (December 20, 2018): 180–205. http://dx.doi.org/10.2218/pihph.3.2018.2898.

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Vowels are longer before voiced than voiceless obstruents in many languages. Work on how this effect interacts with aspiration has been limited. This study presents data from Hindi and Telugu on vowel duration and other acoustic characteristics as influenced by following consonants. Hindi vowels were significantly longer before voiced stops than voiceless stops, with no significant effect of aspiration. Telugu vowels were only slightly longer before voiced than voiceless stops; more crucially, they were shorter before aspirated stops than unaspirated stops. The Telugu results provide a parallel demonstrating the phonetic plausibility of the sound change proposed in Winter’s Law, with vowel lengthening before voiced unaspirated stops but not before voiced aspirated stops in Proto-Balto-Slavic. While the exact processes causing the voicing and aspiration effects remain unclear, this data contributes to evaluating the phenomenon. Phonetic differences between in Hindi and Telugu may also suggest characteristics of how the Proto-Balto-Slavic stop contrasts were realized.

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14

G., E., Gérard Colas, Usha Colas-Chauhan, and Gerard Colas. "Manuscrits Telugu: Catalogue raisonné." Journal of the American Oriental Society 120, no. 1 (January 2000): 155. http://dx.doi.org/10.2307/604941.

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15

Chang-Yong Sim. "Anaphoric Expressions in Telugu." Studies in Linguistics ll, no. 34 (January 2015): 123–43. http://dx.doi.org/10.17002/sil..34.201501.123.

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HADDAD, YOUSSEF A. "Copy Control in Telugu." Journal of Linguistics 45, no. 1 (January 28, 2009): 69–109. http://dx.doi.org/10.1017/s0022226708005525.

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The main purpose of this paper is to document a phenomenon of copy adjunct control in Telugu, a Dravidian language, and to provide a derivation of the relevant structures within the framework of the Minimalist Program. Copy adjunct control is a relation of co-identity between the subject in the matrix clause and the subject in an adjunct of the same structure. Both subjects are pronounced. I analyze Copy Control structures as instances of multiple copy spell-out derived via movement, whereby movement is understood as copy-plus-merge. Decisions concerning the pronunciation of copies are prepared for in the syntax, but they are made on the phonological side of the computation.

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17

Srinivasu, B., and R. Manivannan. "Computational Morphology for Telugu." Journal of Computational and Theoretical Nanoscience 15, no. 6 (June 1, 2018): 2373–78. http://dx.doi.org/10.1166/jctn.2018.7472.

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18

Smith, Peter W. "Lexical plurals in Telugu." Lexical plurals and beyond 39, no. 2 (December 31, 2016): 234–52. http://dx.doi.org/10.1075/li.39.2.02smi.

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In this paper I provide a description and analysis of a small class of plural mass nouns in Telugu (Dravidian), as well as an overview of the major properties of the mass/count distinction in the language. The plural mass nouns show the semantic behaviour of mass nouns in Telugu, however, they show the morphosyntactic behaviour of count nouns. I provide an analysis whereby the plurality is inherent to the roots, and it is this inherent plurality interacting with other properties of the morphosyntax of Telugu that makes these nouns appear to be count on the surface, though in reality they are mass nouns.

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Rajagopal, Vakulabharanam. "Fashioning Modernity in Telugu." Studies in History 21, no. 1 (February 2005): 45–77. http://dx.doi.org/10.1177/025764300502100103.

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Satyanarayana, Y. V. V., U. Ravi Babu, and S. Maruthu Permal. "Printed Telugu Numeral Recognition based on Structural, Skeleton and Water Reservoir Features." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 10, no. 7 (August 22, 2013): 1815–24. http://dx.doi.org/10.24297/ijct.v10i7.7042.

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Selection of feature extraction method is most important factor in achieving high recognition performance in automatic numeral recognition systems In this paper, a new proposed system for Telugu printed numeral characters recognition using number of contours, skeleton feature, water reservoir features, and ratio of length of Top line to bottom line of the image. Printed Telugu numerals are scan converted to binary images and extract the features irrespective of size of the image. The proposed method is applied with success to a database of 3150 printed multi-font printed Telugu numerals The recognition accuracy is achieved 100%. The experimental results obtained are encouraging and comparable with other methods found in literature survey. The novelty of the proposed method is free from size normalization and without classification method.

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Narasa Dasu, Dr P. Lakshmi, and Dr Rama Rao Chevula. "Erroneous Tense Patterns in the English Used by Telugu People." SMART MOVES JOURNAL IJELLH 8, no. 12 (December 31, 2020): 95–103. http://dx.doi.org/10.24113/ijellh.v8i12.10863.

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This research paper attempts to explore certain deviations in the usage of English tenses by some Telugu people who require perfection at grammatical level of wording. By explaining the nature of deviant tense forms which can be treated as errors in teaching and learning pedagogical setting, this paper aims to identify the problematic typical erroneous patterns in their English grammar. Identification of underlying influences and pattern-wise understanding of the consequent deviant forms are very important to design remedial workbooks for specific needs of teaching and learning. Hence some frequent erroneous English tense patterns used by Telugu learners are briefed in this study. This study is assumed to be useful to many people with Telugu background to rectify their usage of ungrammatical English.

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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 (July 3, 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 biggest challenge is the lack of available resources, especially in the context of Indian languages. Indian languages are very rich in morphology which pose a greater challenge for the automated machines. Telugu is one of the most popular languages after Hindi among Indian languages. In this article, we have collected and annotated a corpus of Telugu conversation sentences in the form of a question followed by a reply for sarcasm detection. Further, a set of algorithms are proposed for the analysis of sarcasm in the corpus of Telugu conversation sentences. The proposed algorithms are based on hyperbolic features namely, Interjection, Intensifier, Question mark and Exclamation symbol. The achieved accuracy is 94%.

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23

Sulochana, N. "தெலுங்கு உறவுமுறைச் சொற்கள்." Shanlax International Journal of Tamil Research 5, no. 1 (July 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 importance of having a dictionary for regional kinship terms. The study focuses on the comparison between Telugu and Tamil kinship terms. It attempts to explore the pronunciation of how it varies from Tamil and Telugu languages.

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Srinivasa Rao, Adabala Venkata, D. R. Sandeep, V. B. Sandeep, and S. Dhanam Jaya. "Segmentation of Touching Hand written Telugu Characters by using Drop Fall Algorithm." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 3, no. 2 (October 30, 2012): 343–46. http://dx.doi.org/10.24297/ijct.v3i2c.2897.

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Recognition of Indian language scripts is a challenging problem. Work for the development of complete OCR systems for Indian language scripts is still in infancy. Complete OCR systems have recently been developed for Devanagri and Bangla scripts. Research in the field of recognition of Telugu script faces major problems mainly related to the touching and overlapping of characters. Segmentation of touching Telugu characters is a difficult task for recognizing individual characters. In this paper, the proposed algorithm is for the segmentation of touching Hand written Telugu characters. The proposed method using Drop-fall algorithm is based on the moving of a marble on either side of the touching characters for selection of the point from where the cutting of the fused components should take place. This method improvers the segmentation accuracy higher than the existing one.

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Shivaprasad, Satla, and Manchala Sadanandam. "Optimized Features Extraction from Spectral and Temporal Features for Identifying the Telugu Dialects by Using GMM and HMM." Ingénierie des systèmes d information 26, no. 3 (June 30, 2021): 275–83. http://dx.doi.org/10.18280/isi.260304.

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Telugu language is one of the historical languages and belongs to the Dravidian family. It contains three dialects named Telangana, Costa Andhra, and Rayalaseema. This paper identifies the dialects of the Telugu language. MFCC, Delta MFCC, and Delta-Delta MFCC are applied with 39 feature vectors for the dialect identification. In addition, ZCR is also applied to identify the dialects. At last combined all the MFCC and ZCR features. A standard database is created to identify the dialects of the Telugu language. Different statistical methods like HMM and GMM are applied for the classification purpose. To improve the accuracy of the model, dimensionality reduction technique PCA is applied to reduce the number of features extracted from the speech signal and applied to models. In this work, with the application of dimensionality reduction, there is an increase in the accuracy of models observed.

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26

Yun, Suyeon. "English Loanword Adaptation in Telugu." Studies in Linguistics 53 (October 31, 2019): 75–94. http://dx.doi.org/10.17002/sil..53.201910.75.

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DILIP, Mayuri J., and Rajesh KUMAR. "Negative Polarity Items in Telugu." Acta Linguistica Asiatica 9, no. 1 (January 30, 2019): 9–28. http://dx.doi.org/10.4312/ala.9.1.9-28.

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The paper presents a unified account of licensing conditions of Negative Polarity Items (NPI) in Telugu. Based on the distribution of NPIs in complex clauses, we state that negation c-commanding NPI at the base-generated. Consequently, features checking between negation and NPI restricts the alternatives on the scale inherent to NPIs. The morphological realization of NPI in the non-negative contexts is different from the context with overt negation. The NPIs show the following distribution. NPI occurs in subject position; A negative licensing Multiple NPIs. There are three types of NPIs: wh-element, quantifier and idiomatic expression. In complex clauses, wh-elements block long-distance licensing. In contrast, quantifiers and idiomatic expressions do not block long-distance licensing.

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Steever, Sanford B., Bh Krishnamurti, and J. P. L. Gwynn. "A Grammar of Modern Telugu." Journal of the American Oriental Society 107, no. 3 (July 1987): 515. http://dx.doi.org/10.2307/603485.

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29

Adluri, Sucharita. "Viewing Telugu Inscriptions at Ahobila." South Asian Studies 35, no. 2 (July 3, 2019): 168–80. http://dx.doi.org/10.1080/02666030.2019.1641968.

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Sekhar Dokkara, Sasi Raja, Suresh Varma Penumathsa, and Somayajulu G. Sripada. "Verb Morphological Generator for Telugu." Indian Journal of Science and Technology 10, no. 13 (April 1, 2017): 1–11. http://dx.doi.org/10.17485/ijst/2017/v10i13/110448.

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Kissock, Madelyn J. "Evidence for ‘finiteness’ in Telugu." Natural Language & Linguistic Theory 32, no. 1 (December 5, 2013): 29–58. http://dx.doi.org/10.1007/s11049-013-9214-8.

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MANTENA, RAMA SUNDARI. "Vernacular Publics and Political Modernity: Language and Progress in Colonial South India." Modern Asian Studies 47, no. 5 (February 8, 2013): 1678–705. http://dx.doi.org/10.1017/s0026749x12000212.

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AbstractThe late-nineteenth century in India, usually scrutinized for the emergence of anti-colonial nationalist thought and politics, witnessed broader, and potentially more radical changes in the making and re-making of political subjectivities as articulated within burgeoning vernacular public spheres. Vernacular publics coalesced around the emergence of new communicative forms, the formation of voluntary and political associations, and the restructuring of literary communities. It is within this context I place the writings of Gidugu Venkata Ramamurti (1863–1940). He proclaimed at the turn of the twentieth century that Telugu as a language had to be reformed in order for it to become an appropriate medium for the newly emergent Telugu public spheres. Through his study of linguistics, his commitment to educational reform, and his study of Telugu language and literature, Ramamurti became the spokesperson for a new Telugu that would be able to traverse the boundaries of modern genres of writing that flourished in the colonial era. Fully immersed in linguistic theories of the day, Ramamurti's concerns were primarily with language reform and its centrality in the remaking of political subjectivities.‘In this era there is an important challenge facing us. There is no Telugu word for ‘challenge,’ nevertheless, the word, ‘dhikaaramu’ or defiance, comes close. For that reason, I am calling this era, ‘dhikaara yugamu,’ the age of defiance. In the past, society was divided between free people and the enslaved. Soon, the enslaved defied the power of the free and freed themselves. In the past, women were not allowed to be educated nor were they allowed to work. Now they are asking themselves why they were not considered more productive in society? These days, women are performing all kinds of work. . . .Until recently, in most countries the wealthy held power. And now the poor are challenging the power of the rich’.1

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Madhavi, G. Bindu, Vijaya Kumar V., and V. Krishna Vakula. "An Effective Slant Detection and Correction Method Based on the Tilted Rectangle Method for Telugu Manuscript Terms." International Journal of Information Technology Project Management 12, no. 4 (October 2021): 25–37. http://dx.doi.org/10.4018/ijitpm.2021100103.

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This paper proposes an efficient method called tilted rectangle (TR) for detecting and correcting of slant angle of the manuscript Telugu words (MTW). Telugu language is one of India's common languages spoken by over 80 million individuals. The complex characters are attached with some extra marks known as “maatras” and “vatthus,” and it is challenging to detect slant angle. The proposed TR method initially performs preprocessing and identifies a connected component within the given Telugu manuscript word. Then, it estimates the slant angle of each connected component by deriving connected slant lines on the boundary of each connected component. After this process, the proposed TR method estimates the entire word's overall slant angle from the average of estimated slant angle and height of all connected components. The correction of the word's slant angle is done in the reverse direction by applying a simple shear transformation. With 1000 manuscript records of three different kinds, the algorithm is tested. Experimental findings indicate the efficacy of the approach proposed.

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Gundimeda, Sambaiah. "Caste, Media and Political Power in Andhra Pradesh: The Case of Eenadu." History and Sociology of South Asia 11, no. 2 (July 2017): 192–203. http://dx.doi.org/10.1177/2230807517718308.

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The unholy nexus between media houses and politics is a well-known sad reality. Such nexus is further complicated by the involvement of caste. The present essay examines the trajectory of Eenadu, a Telugu daily in Andhra Pradesh, and its political manoeuvrings in favour of the Kamma-dominated Telugu Desam Party. Describing the entry of Eenadu, the essay moves to examine the newspaper’s consistent support of the TDP and its stance against the Congress in AP through the political fortunes for N.T. Ramarao, Chandrababu Naidu and Y.S. Rajasekhara Reddy.

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Rani, N. Shobha, Sanjay Kumar Verma, and Anitta Joseph. "A Zone Based Approach for Classification and Recognition Of Telugu Handwritten Characters." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 4 (August 1, 2016): 1647. http://dx.doi.org/10.11591/ijece.v6i4.10553.

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Realization of high accuracies and efficiencies in South Indian character recognition systems is one of the principle goals to be attempted time after time so as to promote the usage of optical character recognition (OCR) for South Indian languages like Telugu. The process of character recognition comprises pre-processing, segmentation, feature extraction, classification and recognition. The feature extraction stage is meant for uniquely recognizing each character image for the purpose of classifying it. The selection of a feature extraction algorithm is very critical and important for any image processing application and mostly of the times it is directly proportional to the type of the image objects that we have to identify. For optical technologies like South Indian OCR, the feature extraction technique plays a very vital role in accuracy of recognition due to the huge character sets. In this work we mainly focus on evaluating the performance of various feature extraction techniques with respect to Telugu character recognition systems and analyze its efficiencies and accuracies in recognition of Telugu character set.

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Rani, N. Shobha, Sanjay Kumar Verma, and Anitta Joseph. "A Zone Based Approach for Classification and Recognition Of Telugu Handwritten Characters." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 4 (August 1, 2016): 1647. http://dx.doi.org/10.11591/ijece.v6i4.pp1647-1653.

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Realization of high accuracies and efficiencies in South Indian character recognition systems is one of the principle goals to be attempted time after time so as to promote the usage of optical character recognition (OCR) for South Indian languages like Telugu. The process of character recognition comprises pre-processing, segmentation, feature extraction, classification and recognition. The feature extraction stage is meant for uniquely recognizing each character image for the purpose of classifying it. The selection of a feature extraction algorithm is very critical and important for any image processing application and mostly of the times it is directly proportional to the type of the image objects that we have to identify. For optical technologies like South Indian OCR, the feature extraction technique plays a very vital role in accuracy of recognition due to the huge character sets. In this work we mainly focus on evaluating the performance of various feature extraction techniques with respect to Telugu character recognition systems and analyze its efficiencies and accuracies in recognition of Telugu character set.

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37

Lakshmi, Dr B. Samrajya. "Strategies for Teaching Spoken and Written English for Telugu Speaking Students." Indian Journal of Applied Research 3, no. 5 (October 1, 2011): 386–88. http://dx.doi.org/10.15373/2249555x/may2013/116.

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38

Reddy, R. Ashok Kumar, Dr G. N. Kodanda Ramaiah, and Dr M. N. Giri Prasad. "The MINIMAL and MAXIMAL VOCAL TRACT SHAPE VARIABILITY FOR TELUGU VOWELS." International Journal of Current Engineering and Scientific Research 6, no. 6 (June 2019): 104–12. http://dx.doi.org/10.21276/ijcesr.2019.6.6.19.

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39

Kalavathi Alla, and Dr Ramineni Sivaram Prasad. "Information Hiding Using Telugu Text Steganography." International Journal of Intelligent Information Processing 3, no. 3 (September 30, 2012): 30–39. http://dx.doi.org/10.4156/ijiip.vol3.issue3.4.

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40

Sunitha, K. V. N., and A. Sharada. "BUILDING LEXICON FOR TELUGU SPEECH RECOGNITION." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 5, no. 1 (April 23, 2006): 7–14. http://dx.doi.org/10.24297/ijct.v5i1.4381.

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Speech recognizers usually consist of a language model, a lexicon and a collection of phone models. The lexicon for a language is important to improve the efficacy of speech recognizer for a language. Traditionally building a lexicon for a language was a significant piece of work taking several expert linguists perhaps several years to construct a lexicon with reasonable coverage. However we include a method here that can cut this time significantly. The basic idea is add the most common words to a lexicon where explicitly the user of the system gives the new word, then automatically build letter to sound rules from the initial data. The word entered might be of any arbitrary length. Over multiple passes the lexicon and letter to sound rules will improve. As each pass the letter to sound rules are re-generate with the new data making them more correct. This paper presents the work done in building a lexicon for Telugu language. The major objective is to make the speech systems for Telugu language more proficient. This technique has been proved successful for a number of languages cutting the amount to time and effort to perhaps checking thousands of words rather than tens of thousands of words. It also is a structured method that requires only knowledge of the basic language to carry out.

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A.V, Srinivasa Rao. "Segmentation of Ancient Telugu Text Documents." International Journal of Image, Graphics and Signal Processing 4, no. 6 (July 9, 2012): 8–14. http://dx.doi.org/10.5815/ijigsp.2012.06.02.

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Swathi, G., C. Kiran Mai, and B. Raveendra Babu. "Speech Synthesis System for Telugu Language." International Journal of Computer Applications 81, no. 5 (November 15, 2013): 25–30. http://dx.doi.org/10.5120/14009-2060.

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43

Purushotham, K. "The Problematic of Telugu Dalit Writing." Contemporary Voice of Dalit 5, no. 2 (July 2012): 163–72. http://dx.doi.org/10.1177/0974354520120203.

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44

Srilekha, S., P. Navya Sri, G. SriSagar, and P. S. V. S. Sridhar. "JAIKISAN: An Interface For Telugu Farmer." International Journal of Engineering & Technology 7, no. 2.32 (May 31, 2018): 71. http://dx.doi.org/10.14419/ijet.v7i2.32.13530.

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An Indian farmer is one of the important members of society. The farmer has many kinds of work to do in the fields. Agriculturists furrow their fields. They sow the seeds, waters the fields frequently. They should be careful with the products. They have conjointly to sprinkle pesticides in the fields. Farmers basically depend on the rain. Sometimes rainfall will occur according to the season but sometimes no rainfall or very less rainfall and sometimes floods may occur damaging all crops and consequently great losses for farmers. Now we have decided to develop an interface in Telugu language, where farmers can easily find solutions to their problems. Interface helps the Agriculturists to get the information regarding rainfall, types of crops suitable for that particular land. Besides, we will also provide some related videos and expert advisors. The consumer can find their required information, queries through the interface. They receive supposed statistics, associated videos. The interface helps the Agriculturists to get the information regarding rainfall, types of crops suitable for that particular land.

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45

Redmon, Charles, Allard Jongman, and Jie Zhang. "Distributional factors in Telugu sibilant production." Journal of the Acoustical Society of America 142, no. 4 (October 2017): 2579–80. http://dx.doi.org/10.1121/1.5014433.

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46

Cotton, Mary B. M. "Sudha. Contemporary Telugu Poetry by Chalam." Babel. Revue internationale de la traduction / International Journal of Translation 39, no. 4 (January 1, 1993): 243–44. http://dx.doi.org/10.1075/babel.39.4.14cot.

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47

SUKHASWAMI, M. B., P. SEETHARAMULU, and ARUN K. PUJARI. "RECOGNITION OF TELUGU CHARACTERS USING NEURAL NETWORKS." International Journal of Neural Systems 06, no. 03 (September 1995): 317–57. http://dx.doi.org/10.1142/s0129065795000238.

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The aim of the present work is to recognize printed and handwritten Telugu characters using artificial neural networks (ANNs). Earlier work on recognition of Telugu characters has been done using conventional pattern recognition techniques. We make an initial attempt here of using neural networks for recognition with the aim of improving upon earlier methods which do not perform effectively in the presence of noise and distortion in the characters. The Hopfield model of neural network working as an associative memory is chosen for recognition purposes initially. Due to limitation in the capacity of the Hopfield neural network, we propose a new scheme named here as the Multiple Neural Network Associative Memory (MNNAM). The limitation in storage capacity has been overcome by combining multiple neural networks which work in parallel. It is also demonstrated that the Hopfield network is suitable for recognizing noisy printed characters as well as handwritten characters written by different “hands” in a variety of styles. Detailed experiments have been carried out using several learning strategies and results are reported. It is shown here that satisfactory recognition is possible using the proposed strategy. A detailed preprocessing scheme of the Telugu characters from digitized documents is also described.

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Kavati, Ilaiah, G. Kiran Kumar, Sarika Kesagani, and K. Srinivasa Rao. "Signboard Text Translator: A Guide to Tourist." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 5 (October 1, 2017): 2496. http://dx.doi.org/10.11591/ijece.v7i5.pp2496-2501.

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The travelers face troubles in understanding the signboards which are written in local language. The travelers can rely on smart phone for traveling purposes. Smart phones become most popular in recent years in terms of market value and the number of useful applications to the users. This work intends to build up a web application that can recognize the English content present on signboard pictures captured using a smart phone, translate the content from English to Telugu, and display the translated Telugu text back onto the screen of the phone. Experiments have been conducted on various signboard pictures and the outcomes demonstrate the viability of the proposed approach.

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K, Prakash. "Some Customary Obligations of Hoysala Period." Shanlax International Journal of Arts, Science and Humanities 8, S1-Feb (February 6, 2021): 259–63. http://dx.doi.org/10.34293/sijash.v8is1-feb.3963.

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50

Prema, Elliah, and Bahadur Goonesh Kumar. "Use of Technology in the Teaching of Telugu Concepts to Create Enthusiastic Learning Environment—A Case Study among Educators." Journal of Language Teaching and Research 9, no. 4 (July 1, 2018): 724. http://dx.doi.org/10.17507/jltr.0904.07.

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The purpose of this study was to determine whether the use of digital technology could create a positive impact in teaching of Telugu concepts. Due to little exposure of the Telugu language in Mauritius, learners face difficulties in learning and understanding the language in terms of pronunciation, vocabulary, communication and writing skills. The study focused mainly on how the use of cartoons could cater for all types of learners, how they can be used as a tool to allow a child centred learning and whether they promoted the understanding of concepts easily through the use of technology and brought motivation to learners. A study was conducted with two upper primary schools to find out whether concept cartoons could be advantageous in encouraging them in better understanding concepts. Cartoon Story Maker was used as an educational tool to teach the “Singular- Plural” concept followed by an interactive quiz as assessment to monitor the progress of students. Through both qualitative and quantitative approaches, focus groups, observation, and achievement tests were chosen as convenient methods to collect data. The findings revealed that there has been a slight increase in percentage of scores in class tests and that cartoon concepts have motivated the learners to learn the Telugu concepts and helped to improve their communication skills.

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