Relevant bibliographies by topics / Written Telugu

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Academic literature on the topic 'Written Telugu'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Written Telugu"

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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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K, Mohana Lakshmi, Venkatesh K, Sunaina G, Sravani D, and Dayakar P. "Hand Written Telugu Character Recognition Using Bayesian Classifier." International Journal of Engineering and Technology 9, no. 3S (July 17, 2017): 37–42. http://dx.doi.org/10.21817/ijet/2017/v9i3/170903s007.

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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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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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Richard, H. L. "History of the Telugu Christians: A Bibliography, written by James Elisha Taneti." Mission Studies 32, no. 3 (October 15, 2015): 447. http://dx.doi.org/10.1163/15733831-12341421.

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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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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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A, Sridevi. "Olaichuvadi Or Aaivu." International Research Journal of Tamil 3, S-1 (June 21, 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 that has come to say that the wedding messages are Magnificent. Round-shaped characters are written only in writing writing. Tamil, Kirtham, Malayalam, Hangathari, Nandinagari, Kannada, Telugu, Oriya, Sinhala, Burmese and Thai. Initially does not point in the Tamil writings Later in 1850, you can see the point in the traces. I want to ask for today's generations to try to study or protect our wealth in the destruction of my inspection and endorses.
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Samanta, Roopkatha, Soulib Ghosh, Agneet Chatterjee, and Ram Sarkar. "A Novel Approach Towards Handwritten Digit Recognition Using Refraction Property of Light Rays." International Journal of Computer Vision and Image Processing 10, no. 3 (July 2020): 1–17. http://dx.doi.org/10.4018/ijcvip.2020070101.

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Due to the enormous application, handwritten digit recognition (HDR) has become an extremely important domain in optical character recognition (OCR)-related research. The predominant challenges faced in this domain include different photometric inconsistencies together with computational complexity. In this paper, the authors proposed a language invariant shape-based feature descriptor using the refraction property of light rays. It is to be noted that the proposed approach is novel as an adaptation of refraction property is completely new in this domain. The proposed method is assessed using five datasets of five different languages. Among the five datasets, four are offline (written Devanagari, Bangla, Arabic, and Telugu) and one is online (written in Assamese) handwritten digit datasets. The approach provides admirable outcomes for online digits whereas; it yields satisfactory results for offline handwritten digits. The method gives good result for both online and offline handwritten digits, which proves its robustness. It is also computationally less expensive compared to other state-of-the-art methods including deep learning-based models.
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VISWAMOHAN, AYSHA. "Code-mixing with a difference." English Today 20, no. 3 (July 2004): 34–36. http://dx.doi.org/10.1017/s0266078404003062.

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In recent years, the sociolinguistic theory of code-switching and code-mixing has been a source of great interest among scholars worldwide. The phenomenon is common in such multilingual societies as India. Most known cases of code-switching are, however, restricted to the spoken form, in which English is liberally interspersed with such regional languages as Hindi, Marathi, and Telugu. What has not yet significantly caught the attention of scholars is the notion of such switching and mixing in print. This practice is however particularly prevalent among writers in popular magazines, who resort to written code-switching for a variety of reasons. The present paper endeavours to examine the causes of the popularity of this style of writing in the light of some accepted theories of multilingualism.
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Books on the topic "Written Telugu"

1

Donappa, Thoomati. Vaikr̥ta pada svarūpa nirūpaṇamu =: Old and middle Indo-Aryan loan words in literary Telugu. Hyderabad: Ācārya Tūmāṭi Doṇappa Mūḍu Aravaila Paṇḍuga Abhinandana Samiti, 1987.

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The Teluga Bible: A reply to a tract written by the Rev. J. Hay, M.A., Waltair Madras Presidency, India. Toronto: Baptist Pub. Co., 1985.

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Conference papers on the topic "Written Telugu"

1

B, Rama, and Santosh Kumar Henge. "OCR - The 3 Layered Approach for Classification and Identification of Telugu Hand Written Mixed Consonants and Conjunct Consonants by Using Advanced Fuzzy Logic Controller." In The Second International Conference on Computer Science, Engineering and Information Technology. Academy & Industry Research Collaboration Center (AIRCC), 2016. http://dx.doi.org/10.5121/csit.2016.60407.

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Mouli, T. Sai Chandra. "Towards Understanding Identity, Culture and Language." In GLOCAL Conference on Asian Linguistic Anthropology 2019. The GLOCAL Unit, SOAS University of London, 2019. http://dx.doi.org/10.47298/cala2019.3-8.

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Knowledge of self is at the core of all human endeavours. In the quest identity assumes significance. It acquired greater relevance and respect on account of Postcolonial concerns. ‘Class’ emerged as the basis of a person’s identity. Subsequent to liberation of colonies from alien rule, postcolonial concerns gained ground. Focus on indigenous ways of life adds new dimension. Social, cultural, psychological and economic structures became the basis of one’s own view of identity. These dynamics are applicable to languages that flourished, perished or are on the verge of extinction. In India, regional, linguistic, religious diversity add to the complexity of the issue in addition to several subcultures that exist. Culture is not an independent variable. Historical factors, political developments, geographical and climatic conditions along with economic policies followed do contribute to a larger extent in fixing the contours of a country’s culture. Institutional modifications also sway the stability of national culture. Cultural transmission takes place in diverse ways. It is not unidirectional and unilateral. In many countries culture models are passed on from one generation to another through recitation. The learners memorize the cultural expressions without understanding meaning or social significance of what is communicated to them. Naturally, this practice results in hierarchical patterns and hegemony of vested elements. This is how norms of ‘high’ and ‘low’ are formed and extended to written works and oral/folk literatures respectively. This presentation focuses on the identity, culture and language of indigenous people in Telugu speaking states of Telangana and Andhra Pradesh in South India.
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Purkait, Pulak, Rajesh Kumar, and Bhabatosh Chanda. "Writer Identification for Handwritten Telugu Documents Using Directional Morphological Features." In 2010 International Conference on Frontiers in Handwriting Recognition (ICFHR). IEEE, 2010. http://dx.doi.org/10.1109/icfhr.2010.108.

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Gadde, Chris Andrew, Santhoshini Reddy, Viswanath Pulabaigari, and Umapada Pal. "Text Independent Writer Identification for Telugu Script Using Directional Filter Based Features." In 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR). IEEE, 2017. http://dx.doi.org/10.1109/icdar.2017.330.

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