Log in

Relevant bibliographies by topics / Telugu and English / Journal articles

To see the other types of publications on this topic, follow the link: Telugu and English.

Journal articles on the topic 'Telugu and English'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Telugu and English.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Sowjanya, G. Mohana, and D. Lalitha Bhaskari. "NLP-Based Conversion of Telugu Scientific Terms in Telugu Medium Textbooks into English." International Journal for Research in Applied Science and Engineering Technology 10, no. 9 (2022): 1873–75. http://dx.doi.org/10.22214/ijraset.2022.46689.

Full text

Abstract:

Abstract: Telugu is the native language of those who reside in the Indian states of Telangana and Andhra Pradesh. While many students in Andhra Pradesh and Telangana study in the English medium, some students study in the Telugu medium because of budgetary and other issues. Despite having many skills, Telugu medium students cannot compete with English medium students since they only learn everything in Telugu. As a result, Telugu medium students encounter some challenges when they need to study for competitive examinations, show up for interviews, and continue their education in the English la

APA, Harvard, Vancouver, ISO, and other styles

2

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

Full text

Abstract:

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 bo

APA, Harvard, Vancouver, ISO, and other styles

3

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 (2020): 95–103. http://dx.doi.org/10.24113/ijellh.v8i12.10863.

Full text

Abstract:

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 fre

APA, Harvard, Vancouver, ISO, and other styles

4

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

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

Full text

Abstract:

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 interm

APA, Harvard, Vancouver, ISO, and other styles

6

BV Subba Rao, Et al. "Unicode-driven Deep Learning Handwritten Telugu-to-English Character Recognition and Translation System." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 10 (2023): 344–59. http://dx.doi.org/10.17762/ijritcc.v11i10.8497.

Full text

Abstract:

Telugu language is considered as fourth most used language in India especially in the regions of Andhra Pradesh, Telangana, Karnataka etc. In international recognized countries also, Telugu is widely growing spoken language. This language comprises of different dependent and independent vowels, consonants and digits. In this aspect, the enhancement of Telugu Handwritten Character Recognition (HCR) has not been propagated. HCR is a neural network technique of converting a documented image to edited text one which can be used for many other applications. This reduces time and effort without star

APA, Harvard, Vancouver, ISO, and other styles

7

Dr., N. Vijaya Bhaskara Sarma. "Cultural Reflections: A Comparative Analysis of Women's Representation in English and Telugu Proverbs." International Journal of Arts, Humanities and Social Studies 5, no. 6 (2023): 29–36. https://doi.org/10.5281/zenodo.10251450.

Full text

Abstract:

Paremiology remained on the outskirts of global scholarly scrutiny. The significance of ancient human universals in shaping commonalities across diverse world cultures has been largely overlooked. This research paper explores the representation of women in English and Telugu proverbs, undertaking a comparative analysis to discern cultural reflections within these linguistic expressions. By examining a diverse selection of proverbs from both languages, the study aims to unveil nuanced portrayals associated with women. The values attributed to women, the way women were treated, the rights that w

APA, Harvard, Vancouver, ISO, and other styles

8

Pisegna, Katerina, and Veno Volenec. "Phonology and Phonetics of L2 Telugu English." Studies in Linguistics and Literature 5, no. 1 (2021): p46. http://dx.doi.org/10.22158/sll.v5n1p46.

Full text

Abstract:

The paper provides a partial phonological and phonetic description of the segmental structure of L2 Telugu English (TE). Previous research on the subject has been carried out in the context of a more general notion of Indian English (IE), so the properties of TE as distinct from other varieties of IE (e.g., Gujarati English) have largely remained unexplored. We have primarily focused on areas that previous research identified as prominent issues in the study of IE: vowel inventory and production, representation and realization of liquids, word-final obstruent phenomena, and allophones of /w/.

APA, Harvard, Vancouver, ISO, and other styles

9

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 (2017): 2496. http://dx.doi.org/10.11591/ijece.v7i5.pp2496-2501.

Full text

Abstract:

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 signb

APA, Harvard, Vancouver, ISO, and other styles

10

Ilaiah, Kavati, Kiran Kumar G, Kesagani Sarika, and Srinivasa Rao K. "Signboard Text Translator: A Guide to Tourist." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 5 (2017): 2496–501. https://doi.org/10.11591/ijece.v7i5.pp2496-2501.

Full text

Abstract:

The travelers face troubles in understanding the signboards which are written in local lan- guage. 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 sig

APA, Harvard, Vancouver, ISO, and other styles

11

A., P. Siva kumar. "Morphological Cross Reference method for English to Telugu Transliteration." International Journal of Artificial Intelligence & Applications (IJAIA) 2, October (2020): 13–23. https://doi.org/10.5281/zenodo.3832029.

Full text

Abstract:

Machine Transliteration is a sub field of Computational linguistics for automatically converting letters in one language to another language, which deals with Grapheme or Phoneme based transliteration approaches. Several methods for Machine Transliteration have been proposed till date based on nature of languages considered, but those methods are having less precision for English to Telugu transliteration when both pronunciation and spelling of the word is considered. Morphological cross reference approach provides user friendly environment for transliteration of English to Telugu text, where

APA, Harvard, Vancouver, ISO, and other styles

12

B N V Narasimha Raju, Et al. "Bidirectional LSTMs with Byte Pair Encoding in NMT for CLIR using English and Telugu Parallel Corpus." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2023): 483–89. http://dx.doi.org/10.17762/ijritcc.v11i9.8832.

Full text

Abstract:

The Neural Machine Translation (NMT) is very crucial for Cross-Lingual Information Retrieval (CLIR). NMT is effective in translating English language queries to the Telugu Language. In this paper, we are translating English queries to Telugu. The NMT will utilize a parallel corpus for translations. Telugu is a resource-poor language, it is very difficult to supply large amounts of parallel corpus to NMT. So the NMT will have a problem called Out Of Vocabulary (OOV). To overcome this problem Byte Pair Encoding (BPE) is used along with Long Short Term Memory (LSTM), which segments the rare words

APA, Harvard, Vancouver, ISO, and other styles

13

K. V. V. Satyanarayana, M. S. V. S. Bhadri Raju, B. N. V. Narasimha Raju,. "BiLSTMs and BPE for English to Telugu CLIR." Journal of Electrical Systems 20, no. 3s (2024): 2022–29. http://dx.doi.org/10.52783/jes.1798.

Full text

Abstract:

A crucial component of Cross Lingual Information Retrieval (CLIR) is Neural Machine Translation (NMT). NMT performs a good job of transforming queries in the English language into Indian languages. This study focuses on the translation of English queries into Telugu. For translations, the NMT will make use of a parallel corpus. Due to a lack of resources in the Telugu language, it is exceedingly challenging to provide NMT with sizable parallel corpora. Thus, the NMT will encounter an issue known as Out of Vocabulary (OOV). Long Short-Term Memory (LSTM) with Byte Pair Encoding (BPE), which brea

APA, Harvard, Vancouver, ISO, and other styles

14

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

15

Siva kumar, Premchand, and Govardhan. "Morphological Cross Reference method for English to Telugu Transliteration." International Journal of Artificial Intelligence & Applications 2, no. 4 (2011): 13–23. http://dx.doi.org/10.5121/ijaia.2011.2402.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Prasad, Bathaloori Reddy. "Classification of Analyzed Text in Speech Recognition Using RNN-LSTM in Comparison with Convolutional Neural Network to Improve Precision for Identification of Keywords." Revista Gestão Inovação e Tecnologias 11, no. 2 (2021): 1097–108. http://dx.doi.org/10.47059/revistageintec.v11i2.1739.

Full text

Abstract:

Aim: Text classification is a method to classify the features from language translation in speech recognition from English to Telugu using a recurrent neural network- long short term memory (RNN-LSTM) comparison with convolutional neural network (CNN). Materials and Methods: Accuracy and precision are performed with dataset alexa and english-telugu of size 8166 sentences. Classification of language translation is performed by the recurrent neural network where a number of the samples (N=62) and convolutional neural network were a number of samples (N=62) techniques, the algorithm RNN implies s

APA, Harvard, Vancouver, ISO, and other styles

17

Nagabhushana, B. "Education System Under British Rule in Andhra." RESEARCH REVIEW International Journal of Multidisciplinary 10, no. 6 (2025): 272–76. https://doi.org/10.31305/rrijm.2025.v10.n6.029.

Full text

Abstract:

When the English East India Company took control of Indian territories, it initially preserved the traditional religious education systems of Hindus and Muslims. Pathshalas taught Sanskrit to Hindus, and mosques served as educational hubs for Muslims. By 1823, the Andhra region came under British rule, continuing with traditional education before reforms were introduced. Colonel Colin Mackenzie and C.P. Brown made notable contributions to Andhra’s history and Telugu literature, respectively. Under Governor Sir Thomas Munro (1822–27), Hindu and Muslim schools were established in each district.

APA, Harvard, Vancouver, ISO, and other styles

18

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

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Ranganath, Dr V. N. Ch, and K. Vijana. "A Study on 'English Language Teaching' (ELT) in Telugu Speaking States." SMART MOVES JOURNAL IJELLH 8, no. 3 (2020): 10. http://dx.doi.org/10.24113/ijellh.v8i3.10493.

Full text

Abstract:

The importance of the English language in the educational field is clear from the fact that many countries have made English an official language. Consequently, English language teaching (ELT) has become one of the significant growth industries around the world in recent years. The English language teaching tradition has been subject to tremendous change, especially throughout the twentieth century. Perhaps more than any other discipline, this tradition has been practised in various adaptations in language classrooms all around the world for centuries. While the teaching of Maths or Physics, t

APA, Harvard, Vancouver, ISO, and other styles

20

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

21

Vamsi, Bandi, Ali Al Bataineh, and Bhanu Prakash Doppala. "Lexical Based Reordering Models for English to Telugu Machine Translation." Revue d'Intelligence Artificielle 37, no. 5 (2023): 1109–20. http://dx.doi.org/10.18280/ria.370503.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Et. al., Srinivasa Rao Dhanikonda,. "A Survey On Telugu Optical Character Recognition From Digital Images." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 6 (2021): 999–1003. http://dx.doi.org/10.17762/turcomat.v12i6.2412.

Full text

Abstract:

Images play an essential function in the electronic media to share information. Nowadays, each event is going to be recorded in the arrangement of digital images. Text from the image file won't be in a format on the computer. OCR (Optical Character Recognition) for English vocabulary is well constructed. Currently, there's a requirement of OCR for Indian languages to maintain historical documents composed mainly in Indian languages to arrange publications in the library and for program form processing. OCR for the Telugu language is challenging as consonants and vowels plays a vital role in fo

APA, Harvard, Vancouver, ISO, and other styles

23

Suneetha, Eluri, and Santosha Lahari Penmatsa Naga. "Sarcasm Detection of Sentiments in Telugu Language." International Journal of Engineering and Advanced Technology (IJEAT) 10, no. 1 (2020): 401–6. https://doi.org/10.35940/ijeat.A1912.1010120.

Full text

Abstract:

Sarcasm is usually used by people to either tease/irritate others or simply for comic purposes. The presence of sarcasm becomes certain as it is difficult to be identified by basic sentiment analysis method. Sarcasm detection is addressed with various rule-based methods, statistical approaches, and classifiers in machine learning , most of these are introduced to identify sarcasm in text written in English as it is a popular language on the internet. Although the groundwork done on sarcasm detection on various Indian languages like Telugu is limited. Hence, this paper presents a Deep learning

APA, Harvard, Vancouver, ISO, and other styles

24

Lingam, Keerthi, E. Ramalakshmi, and Srujana Inturi. "English to Telugu Rule based Machine Translation System: A Hybrid Approach." International Journal of Computer Applications 101, no. 2 (2014): 19–24. http://dx.doi.org/10.5120/17659-8474.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

B., N. V. Narasimha Raju, S. V. S. Bhadri Raju M., and V. V. Satyanarayana K. "Effective preprocessing based neural machine translation for English to Telugu cross-language information retrieval." International Journal of Artificial Intelligence (IJ-AI) 10, no. 2 (2021): 306–15. https://doi.org/10.11591/ijai.v10.i2.pp306-315.

Full text

Abstract:

In cross-language information retrieval (CLIR), the neural machine translation (NMT) plays a vital role. CLIR retrieves the information written in a language which is different from the user's query language. In CLIR, the main concern is to translate the user query from the source language to the target language. NMT is useful for translating the data from one language to another. NMT has better accuracy for different languages like English to German and so-on. In this paper, NMT has applied for translating English to Indian languages, especially for Telugu. Besides NMT, an effort is also

APA, Harvard, Vancouver, ISO, and other styles

26

G., Balakrishna Priya, and Usha Rani M. "A Framework for Sentiment Analysis of Telugu Tweets." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 6 (2020): 523–25. https://doi.org/10.35940/ijeat.F1602.089620.

Full text

Abstract:

Now a day Social Media like Facebook, twitter and Instagram is major Sources for people to share their emotions based on the current situations in society. By knowing the interesting patterns in it, a government/appropriate person for that situation can take good and useful decisions. Sentiment analysis is a method where people can extract the useful information from the text like the emotions (happy, sad, and neutral) of people. Much research work was been underdoing in the area of sentiment analysis. Among that work the Machine learning and Deep learning approaches plays a maximum role. Exis

APA, Harvard, Vancouver, ISO, and other styles

27

P.N.Girija, V. S. Ramesh Bonda,. "Duration Modeling For Telugu Language with Recurrent Neural Network." International Journal of Innovative Research in Computer and Communication Engineering 03, no. 02 (2015): 720–25. http://dx.doi.org/10.15680/ijircce.2015.0302017.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

Raju, B. N. V. Narasimha, M. S. V. S. Bhadri Raju, and K. V. V. Satyanarayana. "Effective preprocessing based neural machine translation for English to Telugu cross-language information retrieval." IAES International Journal of Artificial Intelligence (IJ-AI) 10, no. 2 (2021): 306. http://dx.doi.org/10.11591/ijai.v10.i2.pp306-315.

Full text

Abstract:

<span id="docs-internal-guid-5b69f940-7fff-f443-1f09-a00e5e983714"><span>In cross-language information retrieval (CLIR), the neural machine translation (NMT) plays a vital role. CLIR retrieves the information written in a language which is different from the user's query language. In CLIR, the main concern is to translate the user query from the source language to the target language. NMT is useful for translating the data from one language to another. NMT has better accuracy for different languages like English to German and so-on. In this paper, NMT has applied for translating En

APA, Harvard, Vancouver, ISO, and other styles

29

Sirsa, Hema, and Melissa A. Redford. "A comparison of suprasegmentals and segmentals in Indian English, Hindi, and Telugu." Journal of the Acoustical Society of America 128, no. 4 (2010): 2348. http://dx.doi.org/10.1121/1.3508319.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Kumar Pothana, Sunil. "Media Framing Analysis of English and Telugu Newspapers Coverage on Internal Security in India." International Journal of Science and Research (IJSR) 12, no. 7 (2023): 2048–51. http://dx.doi.org/10.21275/sr23722211713.

Full text

APA, Harvard, Vancouver, ISO, and other styles

31

M. V. Vijaya Saradhi, K. Rakesh, D. Ravi Prasanna, K. Swetha, and B. Prawin. "Comprehensive study of deep learning based Telugu OCR: A survey." International Journal of Science and Research Archive 8, no. 1 (2023): 353–56. http://dx.doi.org/10.30574/ijsra.2023.8.1.0050.

Full text

Abstract:

There will be no computer-editable text in the image file. The method of optical character recognition (OCR), which can read handwritten or printed text in images, turns that text into a file that can be edited on a computer. English has a well-developed OCR system. OCR is currently required for Indian languages in order to process application forms, categorise books in libraries, and preserve historical records that are mostly written in Indian languages. The Telugu language presents challenges for OCR since each character is made up of a single consonant, a single vowel, or a compound of vow

APA, Harvard, Vancouver, ISO, and other styles

32

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

33

Srinivasulu, Chelmala, and Gandla Chethan Kumar. "A checklist of herpetofauna of Telangana state, India." Journal of Threatened Taxa 14, no. 6 (2022): 21266–81. http://dx.doi.org/10.11609/jott.7360.14.6.21266-21281.

Full text

Abstract:

A checklist of herpetofauna of Telangana, India including accepted English name, scientific name along with authority, Telugu and vernacular name, IUCN, Indian Wildlife Protection Act and CITES status, and endemicity is presented in this paper. The herpetofauna diversity of Telangana is represented by 98 species including 16 species of amphibians belonging to four families, one species of crocodile, six species of testudines, 35 species of saurians and 40 species of snakes. Three species—Hemidactylus flavicaudus, H. xericolus, and H. aemulus—are endemic to Telangana.

APA, Harvard, Vancouver, ISO, and other styles

34

ndra, P. Jeethe, and M. Chandra shekar. "Linear Predictive Coding and Cepstral Analysis for Telugu Speech Recognition." International Journal of Computer Trends and Technology 47, no. 1 (2017): 50–60. http://dx.doi.org/10.14445/22312803/ijctt-v47p106.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

36

K, Jabez Syam. "Need for Tailor-made English Coursebooks to Meet the Desired Learning Outcomes with Special Focus on Phonetics and Spoken English." Journal of the faculty of Education 1, no. 17 (2023): 105–21. http://dx.doi.org/10.60037/edu.v1i17.1185.

Full text

Abstract:

World’s second highest number of English speakers (125,344,737) are in India. But there is no comprehensive linguistic description of Indian English. The reasons are: no one pattern of spoken English; diversified pronunciation and spoken English problems in each State. When all these problems converge towards one English, a standard variety of Indian English is possible. The solution is the ‘Arpiciency’ model. Implementing ‘Arpiciency’, through tailor-made English coursebooks can possibly bring solution. Different pronunciation problems are to be dealt to acquire one standard variety of Indian

APA, Harvard, Vancouver, ISO, and other styles

37

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

38

BV, DHANDRA, GURURAJ MUKARAMBI, and MALLIKARJUN HANGARGE. "A SCRIPT INDEPENDENT APPROACH FOR HANDWRITTEN BILINGUAL KANNADA AND TELUGU DIGITS RECOGNITION." International Journal of Machine Intelligence 3, no. 3 (2011): 155–59. http://dx.doi.org/10.9735/0975-2927.3.3.155-159.

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

M, Gnaneswari, and Chaitanya Kumar T. "Application of Deep Convolutional Neural Networks to Telugu Scriptsfor Optical Character Recognition." International Journal of Computer Trends and Technology 71, no. 1 (2023): 50–55. http://dx.doi.org/10.14445/22312803/ijctt-v71i1p108.

Full text

APA, Harvard, Vancouver, ISO, and other styles

40

Govindaswamy, Kumar, and Shriram Ragunathan. "Genre Classification of Telugu and English Movie Based on the Hierarchical Attention Neural Network." International Journal of Intelligent Engineering and Systems 14, no. 1 (2021): 54–62. http://dx.doi.org/10.22266/ijies2021.0228.06.

Full text

Abstract:

Genre Classification of movies is useful in the movie recommendation system for video streaming applications like Amazon, Netflix, etc. The existing methods used either video or audio data as input that requires more computation resources to process the data for the genre classification of movies. In this study, the Hierarchical Attention Neural Network (HANN) is proposed for genre classification of movies based on the social media called Twitter data as input. Twitter data related to the Telugu and English movies are collected and applied to HANN for movie’s genre classification. IMDB data ar

APA, Harvard, Vancouver, ISO, and other styles

41

Ekramul Hassan, Mohammad, Jaweed Ahmed Khan, and Rubina Parveen Khan. "Comparing Multilingualism in India and Britain: A Study of Linguistic Diversity and Its Impact." Alford Council of International English & Literature Journal 07, no. 04 (2024): 01–06. https://doi.org/10.37854/acielj.2024.740107.

Full text

Abstract:

India is a country with a rich linguistic diversity. The Indian Constitution recognizes several languages, including English, Malayalam, Manipuri, Marathi, Nepali, Oriya, Punjabi, Tamil, Telugu, Urdu, Sindhi, and Maithili. English and Chinese are also considered major languages. Tribal languages also play an important role. The late Professor Suniti Kumar Chatterjee suggested that there were 15 major languages in India, and Rajasthani and Bhojpuri also were notable. India's strength is its unity amidst the linguistic variety, and even though language-related issues crop up, they can be sorted

APA, Harvard, Vancouver, ISO, and other styles

42

Rajesh, Mudivedu Shroff, and Nandikotkur Padmaja. "Now I know Dorothy!" Acta Crystallographica Section A Foundations and Advances 70, a1 (2014): C1314. http://dx.doi.org/10.1107/s2053273314086859.

Full text

Abstract:

"Our message is – dare I say – crystal clear," observed UNESCO Director-General Irina Bokova in her opening remarks at UNESCO headquarters in Paris on 20 January 2014. At exactly the same time some 6480.2 miles away in a school at Hyderabad, India echoed a message "Now I know Dorothy" this was an excited exclamation from hundreds of high school children. The occasion was an IYCr2014 outreach programme motivated and supported by the President of the International Union of Crystallography (IUCr) Professor Gautam R. Desiraju. The occasion was an IYCr2014 outreach programme that matched IYCr2014 g

APA, Harvard, Vancouver, ISO, and other styles

43

Bora, Sanjeeva Reddy. "Empathetic Multilingual Voice Agents Powered by Generative AI in Healthcare: Development and Implementation of CoSpeak and Empathia." International Journal for Research in Applied Science and Engineering Technology 12, no. 11 (2024): 1167–73. http://dx.doi.org/10.22214/ijraset.2024.65320.

Full text

Abstract:

Background: The integration of generative AI-powered voice agents in healthcare is revolutionizing patientpractitioner interactions, enhancing clinical workflows, and improving overall patient care. Methods: We developed and implemented two intricate generative AI models, CoSpeak and Empathia, supporting multilingual voice-to-voice communication in English, Spanish, French, Hindi, and Telugu. These agents decode human emotions and exhibit empathy, providing adaptive and personalized interactions. Results: Experimental results from pilot projects demonstrated significant improvements in patient

APA, Harvard, Vancouver, ISO, and other styles

44

Kompally, Nikshitha, Sony Mohammad, K. Sreekala Dr., N. Rama Krishna Mr., and A. Nagesh Dr. "Echoes of Bhagavad Gita-Shlokas in different Voices and Languages." Recent Trends in Computer Graphics and Multimedia Technology 7, no. 3 (2025): 16–24. https://doi.org/10.5281/zenodo.15551230.

Full text

Abstract:

<em>The project titled “</em><em>Echoes of Bhagavad Gita-shlokas In Voices and Languages” aims to present the timeless teachings of the Bhagavad Gita shlokas in a format that is both linguistically inclusive and aurally diverse. This initiative involves the narration of selected verses in three languages Telugu, English, and Malayalam capturing the essence of the original Sanskrit text while making it accessible to regional and global audiences.</em> <em>The core objective is to explore and document how voice variations—including male and female narrations as well as differen

APA, Harvard, Vancouver, ISO, and other styles

45

Chirimilla, Ramya, and Vishnu Vardhan B. "A Survey of Optical Character Recognition Techniques on Indic Script." ECS Transactions 107, no. 1 (2022): 6507–14. http://dx.doi.org/10.1149/10701.6507ecst.

Full text

Abstract:

Optical Character Recognition (OCR) is a technique that converts printed text and images into a digitized form, which can be manipulated by a machine. It has many application sectors like Banking, Financial, Legal applications, etc. Initially researchers were addressed and proposed many algorithms in image processing for character recognition and mapping. Most of the researchers focused on the Latin script English as it was supported by the Encoding standard ASCII. Later, people start realizing that OCR techniques for other languages are also gaining momentum these days. With the advent of tec

APA, Harvard, Vancouver, ISO, and other styles

46

Bhardwaj,, Deepanshu. "Translation of English Videos to Indian Regional Languages." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem30431.

Full text

Abstract:

In spite of many languages being spoken in India, it is difficult for the people to understand Indian regional languages like English, Gujrati, Kannada, Tamil, Telugu, Punjabi, Malayalam, etc. The recognition and synthesis of speech are prominent emerging technologies in natural language processing and communication domains. This paper aims to leverage the open-source applications of these technologies, machine translation, text-to-speech system (TTS), and speech-to-text system (STT) to convert available online resources to Indian languages. This application takes an English language video as

APA, Harvard, Vancouver, ISO, and other styles

47

Chinta, Suvarna Rekha, Harini Sampath, and Bipin Indurkhya. "Eye movement pattern in different orthographies: Evidence from English- Telugu/Hindi Multilingual Children with Dyslexia." Asia Pacific Journal of Developmental Differences 4, no. 1 (2017): 123–38. http://dx.doi.org/10.3850/s2345734117000081.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

Om, Dubey, Kumar Tripathi Abhishek, Nair Neha, Justus Jeremiah, and Nagesh Donkina. "STUDY ON CROSS LINGUISTIC FEATURE WITHIN DRAVIDIAN AND ENGLISH SCRIPT TO ESTABLISH THE SOURCE OF QUESTIONED DOCUMENT." PALARCH'S JOURNAL OF ARCHAEOLOGY OF EGYPT/EGYPTOLOGY 17, no. 9 (2020): 4032–49. https://doi.org/10.5281/zenodo.5807624.

Full text

Abstract:

This paper presents the influence of Dravidian language and its acquired characteristics on the secondary language. In this paper the three Dravidian languages, namely, Tamil, Malayalam and Telugu were considered for studying the regional language features on English language (secondary language). The present study has been conducted by taking handwriting exemplar of 565 subjects and focus has been made on the Handwriting features of secondary language due to primary language. The main objective of the work is to observe what effect, if any, between two well- known scripts of the Handwriting o

APA, Harvard, Vancouver, ISO, and other styles

49

Gorantla, Misha, and Vimala Thomas. "Do social factors influence learning among undergraduate medical students? A cross sectional analytical study." International Journal Of Community Medicine And Public Health 4, no. 6 (2017): 2186. http://dx.doi.org/10.18203/2394-6040.ijcmph20172200.

Full text

Abstract:

Background: Student self-assessment occurs when learners make judgments about aspects of their own performance. There are several social, educational, demographic and environmental factors that have a direct bearing on learning. This study helps to identify these. The objectives of this study are to assess student’s ability to cope with academic environment based on their self-evaluation and to study the effect of socio-demographic factors on their academic coping ability. Methods: The present cross section study was done in Gandhi Medical College on all first year MBBS students. It was conduc

APA, Harvard, Vancouver, ISO, and other styles

50

Putta, Akshith. "A dependency parser for code-switched Telugu-English." Journal of High School Science 8, no. 2 (2024). https://doi.org/10.64336/001c.117268.

Full text

Abstract:

This study addresses a notable gap in the availability of Code Switched Telugu-English dependency parsers. Conducting research into Code Switched data, especially Telugu-English could be very important, with the prevalence of Code Switching in native Telugu speakers. This is due to the fact that English is widely understood in Telugu-Speaking areas, and since code switching is a prevalent phenomenon in those areas. Through an informal blog dataset, the first Code Switched dependency treebank for Telugu-English was annotated. This treebank is limited to 300 sentences, to serve as an experiment

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!