Relevant bibliographies by topics / Kannada and English

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Kannada and English'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "Kannada and English"

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Dhandra, B. V., Gururaj Mukarambi, and Mallikarjun Hangarge. "Kannada and English Numeral Recognition System." International Journal of Computer Applications 26, no. 9 (2011): 17–23. http://dx.doi.org/10.5120/3133-4318.

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Karanth, P. "Pure alexia in a Kannada-English bilingual." Neurocase 6, no. 4 (2000): 282. http://dx.doi.org/10.1093/neucas/6.4.282.

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Messner, Wolfgang. "Market research in India: does the choice of language cause questionnaire contamination?" Journal of Indian Business Research 9, no. 2 (2017): 149–68. http://dx.doi.org/10.1108/jibr-09-2016-0100.

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PurposeWhile English is the most commonly used language for market research, surveys and customer feedback in India, it does not reach the subcontinent’s entire population. Therefore, many questionnaires are bilingual, offering the respondent a choice between English and an indigenous Indian language. This, however, presupposes that answers to items are not influenced by people’s language proficiencies and response styles in different languages. This paper aims to examine whether market researchers in India should be careful about nonrandom measurement error caused by language response bias. D
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Madappa, Manish, Yozna Gurung, and Madhavi Gayathri Raman. "Spinning a yarn across languages: Adapting MAIN for India." ZAS Papers in Linguistics 64 (August 31, 2020): 107–16. http://dx.doi.org/10.21248/zaspil.64.2020.563.

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 The Multilingual Assessment Instrument for Narratives (LITMUS-MAIN) was developed to assess the narrative abilities of bi- and multilingual children in the various languages that they speak. This paper presents the details of the adaptation of MAIN to three Indian languages, Kannada, Hindi and Malayalam. We describe some typological features of these languages and discuss the challenges faced during the process of adaptation. Finally, we give an overview of results for narrative comprehension and production from Kannada-English and Hindi-English bilinguals aged 7 to 9.&#x0
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Javaregowda, D. C., B. Parthasarathy, A. Suresh, et al. "Validation of 12-item general health questionnaire into Kannada language." Journal of Clinical Oncology 25, no. 18_suppl (2007): 17077. http://dx.doi.org/10.1200/jco.2007.25.18_suppl.17077.

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17077 Background: The cancer load in India is enormous and majority of the cases present in an advanced stage. There is no valid translation of 12-item General Health Questionnaire (GHQ-12) in Kannada, which is a simple but indispensable tool in the comprehensive cancer care (both for metastatic and in adjuvant settings). Therefore we thought of developing and validating the GHQ-12 Questionnaire into Kannada language. Methods: The study was conducted at kidwai memorial institute of Oncology, Bangalore, a tertiary cancer center with an annual attendance of 16,000 new cases. We have chosen educa
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Et al., Chayapathi A. R. "CLOUD BASED MULTI-LANGUAGE INDEXING USING CROSS LINGUAL INFORMATION RETRIEVAL APPROACHES." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 1 (2021): 1283–93. http://dx.doi.org/10.17762/itii.v9i1.269.

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The exponential growth of data sizes created by digital media (video/audio/images), physicalsimulations, scientific instruments and web authoring joins the new growth of interest in cloud computing. The options for distribution and parallelization of information in clouds make the retrieval and storage processes very complicated, especially when faced with real-time data management. The quantity of Web Users getting access to data over Internet is expanding step by step. An enormous measure of data on Internet is accessible in various languages which could be accessed by anyone whenever. The I
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Krishnan, G., S. Tiwari, and S. Kiran. "Two Routes to Read in Kannada? Evidence from Bi-literate (Kannada-English) Persons with Brain Damage." Procedia - Social and Behavioral Sciences 94 (October 2013): 202. http://dx.doi.org/10.1016/j.sbspro.2013.09.099.

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Kapoor, Angela Arun, Prem Venkatesan, and Pratik Arun Phansopkar. "Translation and Validation of Patient Activation Measure (PAM®-13) in Kannada Language." Journal of Evolution of Medical and Dental Sciences 9, no. 40 (2020): 2981–86. http://dx.doi.org/10.14260/jemds/2020/653.

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BACKGROUND In a country like India with a large population, with diverse culture, socioeconomic status and educational levels, there is a need to translate a Patient Activation Scale Measure (PAM®13) into a regional language which will reduce the language barrier, increases the understanding of patient’s disease condition, and improves their self-management skills. Hence, a reliable and validated instrument ‘Patient Activation Measure (PAM®13)’ is used for evaluating patient’s awareness, skills, and trust in self-management of disease. We wanted to translate and validate the PAM®-13 questionna
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Rangamani, G. "Acquired Dyslexia/Dysgraphia in Kannada-English Bilingual Stroke-Survivors." Procedia - Social and Behavioral Sciences 61 (October 2012): 309–10. http://dx.doi.org/10.1016/j.sbspro.2012.10.201.

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Nakamura, Pooja R., Keiko Koda, and R. Malatesha Joshi. "Biliteracy acquisition in Kannada and English: A developmental study." Writing Systems Research 6, no. 1 (2013): 132–47. http://dx.doi.org/10.1080/17586801.2013.855620.

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Dissertations / Theses on the topic "Kannada and English"

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Shenoy, Sunaina. "Assessing English Language Learners In L1 Kannada And L2 English To Identify Students Who Are At Risk For Language Learning Disabilities." Thesis, University of California, Berkeley, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3720823.

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<p> This study offers a mixed-methods analyses of formal and informal screening tools in L1 and L2 to identify English Language Learners in who are &ldquo;at risk&rdquo; for language learning disabilities. It was conducted in Bangalore, India and the sample consisted of 104 participants in Grades 2-5 from low, middle and high-income private schools. Teachers currently use school-based performance scores in English to classify students as persistent low-achievers. The purpose of this study was to provide teachers with a screening tool in both L1 Kannada and L2 English to be able classify two su
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Nanjaiah, R. "A linguistic study of errors in the written english of the PUC students with kannada mother tongue." Thesis, 1989. http://hdl.handle.net/2009/2725.

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Books on the topic "Kannada and English"

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Kittel, F., and Ferdinand Kittel. A Kannada-English dictionary =: Kannaḍa-Iṅgliṣ ḍikṣanari. Asian Educational Services, 1999.

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Doddamane, A. Wahab. English-Kannada-Beary dictionary =: Iṅgliṣ-Kannaḍa-Byāri arthakōśa. Byāri Prakāśana, 1997.

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Readings in Kannada =: Iṅgliṣ mūlaka Kannaḍa kaliyiri. 3-тє вид. Aṅkita Pustaka, 2010.

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En, Līlāvati Eṃ. Kannaḍa mādhurya =: An intermediate course reader in Kannada. Bhāratīya Bhāṣā Saṃsthāna, 2004.

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Gaṭṭi, Ke Ṭi. Kannaḍa ālisi āḍi ōdi baredu kaliyiri =: Learn Kannada naturally. Kannaḍa mattu Saṃskr̥ti Ilākhe, 2008.

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Culture, Karnataka (India) Department of Kannada and. Saṃkṣipta āḍaḷita padakōśa: Iṅgliṣ-Kannaḍa = Concise glassory of administrative terms : English-Kannada. Kannaḍa Mattu Saṃskr̥ti Ilākhe, 2011.

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Prakāś, Bi Ār. Vijñāna pāribhāṣika padakōśa: Iṅgliṣ-Kannaḍa = A glossary of scientific terms : English-Kannada. Subhas Stores, 2005.

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compiler, Nair Smitha K., Patil Vijayalakshmi A. compiler, Sannapapayya compiler, and Ten̲n̲intiya Mol̲ikaḷin̲ Payir̲r̲u Meiyam, eds. Kannada-English-Malayalam trilingual bidirectional dictionary. Southern Regional Language Centre, Central Institute of Indian Languages, 2011.

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Beyond words: Selected Kannada poems in English. Ruvari, Abhinava Imprint, 2013.

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Sirigannada: Contemporary Kannada writings. Tranquebar Press, 2010.

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Book chapters on the topic "Kannada and English"

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Antony, P. J., V. P. Ajith, and K. P. Soman. "Statistical Method for English to Kannada Transliteration." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12214-9_57.

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Umesh, R. S., Peeta Basa Pati, and A. G. Ramakrishnan. "Design of a Bilingual Kannada–English OCR." In Advances in Pattern Recognition. Springer London, 2009. http://dx.doi.org/10.1007/978-1-84800-330-9_5.

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Reddy, Mallamma V., and M. Hanumanthappa. "Indic Language Machine Translation Tool: English to Kannada/Telugu." In Lecture Notes in Electrical Engineering. Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-1143-3_4.

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S., Parameswarappa, and Narayana V.N. "Disambiguating Phrasal Verbs in English to Kannada Machine Translation." In Wireless Networks and Computational Intelligence. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31686-9_47.

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Shetty, Savitha, Saritha Shetty, Sarika Hegde, and Karuna Pandit. "English Transliteration of Kannada Words with Anusvara and Visarga." In Advances in Intelligent Systems and Computing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3514-7_28.

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Sowmya Lakshmi, B. S., and B. R. Shambhavi. "Automatic English to Kannada Back-Transliteration Using Combination-Based Approach." In Lecture Notes in Electrical Engineering. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-5802-9_15.

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Sowmya Lakshmi, B. S., and B. R. Shambhavi. "Bidirectional Long Short-Term Memory for Automatic English to Kannada Back-Transliteration." In Emerging Research in Computing, Information, Communication and Applications. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-5953-8_24.

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Shenoy, Sunaina, and Richard K. Wagner. "Language and Literacy Practices that Influence Bilingual and Bi-Literate Acquisition in L1 Kannada and L2 English in Bangalore, India." In Literacy Studies. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05977-4_19.

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Kumar, Raghvendra, Prasant Kumar Pattnaik, and Priyanka Pandey. "Conversion of Higher into Lower Language Using Machine Translation." In Web Semantics for Textual and Visual Information Retrieval. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-2483-0.ch005.

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This chapter addresses an exclusive approach to expand a machine translation system beginning higher language to lower language. Since we all know that population of India is 1.27 billion moreover there are more than 30 language and 2000 dialects used for communication of Indian people. India has 18 official recognized languages similar to Assamese, Bengali, English, Gujarati, Hindi, Kannada, Kashmiri, Konkani, Malayalam, Manipuri, Marathi, Nepali, Oriya, Punjabi, Sanskrit, Tamil, Telugu, and Urdu. Hindi is taken as regional language and is used for all types of official work in central government offices. Commencing such a vast number of people 80% of people know Hindi. Though Hindi is also regional language of Jabalpur, MP, India, still a lot of people of Jabalpur are unable to speak in Hindi. So for production those people unswerving to know Hindi language we expand a machine translation system. For growth of such a machine translation system, used apertium platform as it is free/open source. Using apertium platform a lot of language pairs more specifically Indian language pairs have already been developed. In this chapter, develop a machine translation system for strongly related language pair i.e Hindi to Jabalpuriya language (Jabalpur, MP, India).
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Conference papers on the topic "Kannada and English"

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P.J., Antony, Ajith V.P., and Soman K.P. "Kernel Method for English to Kannada Transliteration." In 2010 International Conference on Recent Trends in Information, Telecommunication and Computing (ITC 2010). IEEE, 2010. http://dx.doi.org/10.1109/itc.2010.85.

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Chinnakotla, Manoj Kumar, and Om P. Damani. "Experiences with English-Hindi, English-Tamil and English-Kannada transliteration tasks at NEWS 2009." In the 2009 Named Entities Workshop: Shared Task. Association for Computational Linguistics, 2009. http://dx.doi.org/10.3115/1699705.1699716.

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Parameswarappa, S., and V. N. Narayana. "Sense disambiguation of simple prepositions in English to Kannada Machine Translation." In 2012 International Conference on Data Science & Engineering (ICDSE). IEEE, 2012. http://dx.doi.org/10.1109/icdse.2012.6282320.

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Chundi, Ramesh, Vishwanath R. Hulipalled, and J. B. Simha. "SAEKCS: Sentiment Analysis for English – Kannada Code SwitchText Using Deep Learning Techniques." In 2020 International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE). IEEE, 2020. http://dx.doi.org/10.1109/icstcee49637.2020.9277030.

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Shivakumar, K. M., N. Shivaraju, Vighnesh Sreekanta, and Deepa Gupta. "Comparative study of factored SMT with baseline SMT for English to Kannada." In 2016 International Conference on Inventive Computation Technologies (ICICT). IEEE, 2016. http://dx.doi.org/10.1109/inventive.2016.7823217.

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Kodabagi, Mallikarjun M., and S. A. Angadi. "A methodology for machine translation of simple sentences from Kannada to English language." In 2016 2nd International Conference on Contemporary Computing and Informatics (IC3I). IEEE, 2016. http://dx.doi.org/10.1109/ic3i.2016.7917967.

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Sowmya Lakshmi, B. S., and B. R. Shambhavi. "An Automatic Language Identification System for Code-Mixed English-Kannada Social Media Text." In 2017 2nd International Conference on Computational Systems and Information Technology for Sustainable Solution (CSITSS). IEEE, 2017. http://dx.doi.org/10.1109/csitss.2017.8447784.

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Kunte, R. Sanjeev, and R. D. Sudhaker Samuel. "A Bilingual Machine-Interface OCR for Printed Kannada and English Text Employing Wavelet Features." In 10th International Conference on Information Technology (ICIT 2007). IEEE, 2007. http://dx.doi.org/10.1109/icit.2007.12.

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Kunte, R. Sanjeev, and R. D. Sudhaker Samuel. "A Bilingual Machine-Interface OCR for Printed Kannada and English Text Employing Wavelet Features." In 10th International Conference on Information Technology (ICIT 2007). IEEE, 2007. http://dx.doi.org/10.1109/icoit.2007.4418296.

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Appidi, Abhinav Reddy, Vamshi Krishna Srirangam, Darsi Suhas, and Manish Shrivastava. "Creation of Corpus and analysis in Code-Mixed Kannada-English Twitter data for Emotion Prediction." In Proceedings of the 28th International Conference on Computational Linguistics. International Committee on Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.coling-main.587.

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