Relevant bibliographies by topics / Kannada Language/Dialects

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Academic literature on the topic 'Kannada Language/Dialects'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Kannada Language/Dialects"

1

G, Thimmaraja Yadava, G. Nagaraja B, Yogesh Kumaran S, C. Ramachandra A, and M. Arun Kumar N. "Development of Small Vocabulary Continuous Speech-to-Text System for Kannada Language/Dialects." Indian Journal of Science and Technology 15, no. 45 (2022): 2476–81. https://doi.org/10.17485/IJST/v15i45.1884.

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Abstract <strong>Objectives:</strong>&nbsp;To develop a speech-to-text (STT) system using Kaldi speech recognition toolkit for continuous Kannada language/dialects.&nbsp;<strong>Methods:</strong>&nbsp;A continuous Kannada speech data is collected from 100 speakers/farmers of Karnataka state in field. The lexicon/dictionary and set of phonemes for Kannada language/dialects are created and transcribed the collected speech data using transcriber tool. The ASR models are developed at different phoneme levels using Kaldi.&nbsp;<strong>Findings:</strong>&nbsp;In this work, an effort is made to devel
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2

L, Divija, C. G. Hanisha Reddy, Rayudu Srishti, and Dr Surabhi Narayan. "Kannada to English Agricultural Cross-Lingual Retrieval: Enhancing Knowledge Access in Farming Practices." International Journal for Research in Applied Science and Engineering Technology 11, no. 9 (2023): 1672–77. http://dx.doi.org/10.22214/ijraset.2023.55879.

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Abstract: This paper presents the development and implementation of a specialized cross-lingual information retrieval system tailored for agriculture-related queries in the Kannada language. The primary objective of the system is to facilitate accurate translation of Kannada queries into English, the target language, and to retrieve relevant documents containing vital agricultural information. The proposed system addresses key challenges including incorporating effective query preprocessing techniques, designing an efficient document retrieval mechanism, and establishing optimal data indexing
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3

Yadava, G. Thimmaraja, B. G. Nagaraja, S. Yogesh Kumaran, A. C. Ramachandra, and N. M. Arun Kumar. "Development of Small Vocabulary Continuous Speech-to-Text System for Kannada Language/Dialects." Indian Journal Of Science And Technology 15, no. 45 (2022): 2476–81. http://dx.doi.org/10.17485/ijst/v15i45.1884.

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4

Sagar, Kumar, Ahamed Sakib, H. V. Sanjana, Khan K. A. Farhan, and M. I. Shilpa. "Comprehensive Survey on Kannada Language Speech to English Language Translation and Voice Cloning System." Journal of Advanced Research in Artificial Intelligence & It's Applications 2, no. 2 (2025): 18–29. https://doi.org/10.5281/zenodo.15123506.

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<em>India is a culturally rich country with diverse languages, with over 22 official languages and countless dialects spoken across the country. However, this linguistic diversity often acts as a communication barrier, hindering interactions between individuals who speak different languages. To address this challenge and revolutionize communication, there is an increasing interest in using Artificial Intelligence (AI) for language trans- lation. This research explores the application of AI in language translation, with a specific focus on converting local languages into a universal language. T
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Sapkal, Kunal. "Veda-VisionGPT-Where Documents Speak Your Own Language." International Scientific Journal of Engineering and Management 04, no. 07 (2025): 1–9. https://doi.org/10.55041/isjem04700.

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Veda-Vision GPT is a transformative multilingual document processing platform designed to handle the complexities of India’s diverse linguistic landscape. Processing and translating printed or scanned materials is difficult in a nation with so many regional scripts and dialects. To improve document accessibility, this platform integrates text extraction (OCR), machine translation, and intelligent search features. More than 15 Indian languages receive assistance, including challenging ones like Sanskrit and Kannada. The system properly removes and translates the text from the scanned pages with
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6

G., Thimmaraja Yadava, Nagaraja B.G., and H. S. Jayanna. "Development of noise robust real time automatic speech recognition system for Kannada language/dialects." Engineering Applications of Artificial Intelligence 135 (September 2024): 108693. http://dx.doi.org/10.1016/j.engappai.2024.108693.

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7

Poornima S V. "The Verse of Floras: A Linguistic Journey Through Botanical Nomenclature." International Research Journal on Advanced Engineering and Management (IRJAEM) 3, no. 03 (2025): 623–27. https://doi.org/10.47392/irjaem.2025.0102.

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Botanical nomenclature, the classification of specifying plants, is profoundly entwined with etymological aspects. There is a complex rapport between language and botanical nomenclature especially in Karnataka, India. It discovers the evolution of plant names showing the importance of Sanskrit, Kannada and other regional languages exposing an amusing history of cultural and historical influences. This paper unravels into the etymology of precise plant names to unearth its cavernous meaning tracing the heritages and exposing the traditional data entrenched within them. The paper also observes t
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Tukaram Gaonkar, Palia, and Andre Rafael Fernandes. "Digitization of Konkani Texts, and their Transliteration." Digital Humanities in the Nordic and Baltic Countries Publications 2, no. 1 (2019): 149–60. http://dx.doi.org/10.5617/dhnbpub.11089.

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Konkani is the official language of the state of Goa, located on the western coast of India. This language has faced many political threats such as four hundred and fifty years of Portuguese colonization and contention with Marathi in order to be recognised as the official language, post-Liberation in 1961. It finally entered the Eighth Schedule of the Constitution of India in 1992. These hardships have diversified the nature of Konkani. It is spoken in several dialects in the state of Goa and elsewhere, and is written in five different scripts, owing to the migration of Konkani people from Go
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9

Yadava, Thimmaraja G., and H. S. Jayanna. "Improvements in Spoken Query System to Access the Agricultural Commodity Prices and Weather Information in Kannada Language/Dialects." Journal of Intelligent Systems 29, no. 1 (2018): 664–87. http://dx.doi.org/10.1515/jisys-2018-0120.

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Abstract In this paper, the improvements in the recently developed end to end spoken query system to access the agricultural commodity prices and weather information in Kannada language/dialects is demonstrated. The spoken query system consists of interactive voice response system (IVRS) call flow, automatic speech recognition (ASR) models and agricultural commodity prices, and weather information databases. The task specific speech data used in the earlier spoken query system had a high level of background and other types of noises as it is collected from the farmers of Karnataka state (a sta
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Verma, Harish. "CLASSICAL EXPERIMENT IN CINE MUSIC." International Journal of Research -GRANTHAALAYAH 3, no. 1SE (2015): 1–4. http://dx.doi.org/10.29121/granthaalayah.v3.i1se.2015.3404.

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Indian films cannot be imagined without music. The hallmark of Indian cinema is its vibrant music. Indian films, whether they are in any language (ie Hindi, Tamil, Bengali, Marathi, Telugu, Kannada or Malayalam), music predominates. Music is their basic element in films made in regional dialects like Bhojpuri, Rajasthani, Bandeli, Chhattisgarhi etc. Most of the films in India are made in Hindi language which are popular all over the world. Hence, we will discuss about Indian films by keeping Hindi films at the center.&#x0D; संगीत के बिना भारतीय फिल्मों की कल्पना भी नहीं की जा सकती। भारतीय सिने
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Books on the topic "Kannada Language/Dialects"

1

Kuṇṭār, Mōhana. Samudāyagaḷa kannaḍa paraṃpare. Prasārāṅga, Kannaḍa Viśvavidyālaya, 2012.

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Savadattimaṭha, Saṅgamēśa. Janapada bhāṣā samīkṣe. Rūparaśmi Prakāśana, 1985.

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Chandraiah, B. N. A descriptive grammar of Harijan dialect. Sharat Prakashana, 1987.

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Mudēnūru, Saṅgaṇṇa, ed. Cigaṭēri padakōśa. Karnāṭaka Jānapada Raṅgakalegaḷa Adhyayana Kēndra, 1997.

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Mayya, Pā Na. Toḷsaṃbaṭṭe: Kvāṭa-Kundrāpa bhāṣi sogsu. Paraṃpaḷḷi Prakāśana, 2012.

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Ji, Śāstri Ke. Bhāṣōpāsaka: Ḍā. Ke. Ji. Śāstri abhinandana grantha. Ḍā. Ke. Ji. Śāstri Abhinandana Samiti, 1993.

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Mayya, Pā Na. Kvāṭa (Kōṭa)-Kundāpra Pradēśada cāṭūktigaḷu: Cāṭūkti nighaṇṭu. Pārampaḷḷi Prakāśana, 2001.

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Hockings, Paul. A Badaga-Englishdictionary. Mouton de Gruyter, 1992.

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Rāmabhaṭṭa, Uppaṅgaḷa. Mānasa: Kannaḍa, Havyaka, Tuḷu bhāṣika adhyayana. Akalaṅka Prakāśana, 1990.

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Nahkola, Kari. Yleisgeminaatio: Äänteenmuutoksen synty ja vaiheet kielisysteemissä erityisesti Tampereen seudun hämäläismurteiden kannalta. Suomalaisen Kirjallisuuden Seura, 1987.

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Book chapters on the topic "Kannada Language/Dialects"

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Gopalappa, Thimmaraja Yadava, Nagaraja Benageri Gnaneshwara, and Haradagere Siddaramaiah Jayanna. "Speech-Based Access of Agricultural Commodity Prices and Weather Information in the Kannada Language and Its Dialects." In Research Advances in Intelligent Computing. CRC Press, 2023. http://dx.doi.org/10.1201/9781003320340-16.

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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 govern
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Conference papers on the topic "Kannada Language/Dialects"

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G, Thimmaraja Yadava, B. G. Nagaraja, B. D. Sanjay, A. S. Mohamed, S. D. Prajwal, and K. Pankaja. "Development of Automatic Speech Recognition System for Kannada Language/Dialects." In 2023 9th International Conference on Smart Computing and Communications (ICSCC). IEEE, 2023. http://dx.doi.org/10.1109/icscc59169.2023.10334997.

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Thimmaraja Yadava, G., P. S. Praveen Kumar, and H. S. Jayanna. "An End to End Spoken Dialogue System to Access the Agricultural Commodity Price Information in Kannada Language/Dialects." In 2017 2nd International Conference On Emerging Computation and Information Technologies (ICECIT). IEEE, 2017. http://dx.doi.org/10.1109/icecit.2017.8453344.

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You might also be interested in the extended bibliographies on the topic 'Kannada Language/Dialects' for particular source types:
Journal articles
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