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Leza, Sungu, and Samba- Digital Humanities and Early Bantu History
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In: Faculty Journal Articles (2022)
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Indigenous Language Revitalization: Success, Sustainability, and the Future of Human Culture
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In: Capstone Showcase (2022)
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The representation of Islam and Islamic culture in realist and magical realist contemporary literature: a cultural critique of Western representation of Islam
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The Ainu in documentary films: promiscuous iconography and the absent image
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Current challenges of language policy and planning for international organisations
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Academic texts in motion: a text history study of co-authorship interactions in writing
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Helping EAL academics navigate asymmetrical power relations in co-authorship: research-based materials for ERPP workshops
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Defining ‘Normal’: methodological issues in Aphasia and intelligence research
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Research on emotions in second language acquisition: reflections on its birth and unexpected growth
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The militant historian: the concept of history in the work of Alain Badiou
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The presence of an absence: framing capital in Mercado de futuros (Mercedes Álvarez, 2011), La mano invisible (David Macián, 2016) and Cerca de tu casa (Eduard Cortés, 2016)
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An Overview of Indian Spoken Language Recognition from Machine Learning Perspective
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In: ISSN: 2375-4699 ; EISSN: 2375-4702 ; ACM Transactions on Asian and Low-Resource Language Information Processing ; https://hal.inria.fr/hal-03616853 ; ACM Transactions on Asian and Low-Resource Language Information Processing, ACM, In press, ⟨10.1145/3523179⟩ (2022)
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Abstract:
International audience ; Automatic spoken language identification (LID) is a very important research field in the era of multilingual voice-command-based human-computer interaction (HCI). A front-end LID module helps to improve the performance of many speech-based applications in the multilingual scenario. India is a populous country with diverse cultures and languages. The majority of the Indian population needs to use their respective native languages for verbal interaction with machines. Therefore, the development of efficient Indian spoken language recognition systems is useful for adapting smart technologies in every section of Indian society. The field of Indian LID has started gaining momentum in the last two decades, mainly due to the development of several standard multilingual speech corpora for the Indian languages. Even though significant research progress has already been made in this field, to the best of our knowledge, there are not many attempts to analytically review them collectively. In this work, we have conducted one of the very first attempts to present a comprehensive review of the Indian spoken language recognition research field. In-depth analysis has been presented to emphasize the unique challenges of low-resource and mutual influences for developing LID systems in the Indian contexts. Several essential aspects of the Indian LID research, such as the detailed description of the available speech corpora, the major research contributions, including the earlier attempts based on statistical modeling to the recent approaches based on different neural network architectures, and the future research trends are discussed. This review work will help assess the state of the present Indian LID research by any active researcher or any research enthusiasts from related fields.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]; [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]; [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing; [SCCO.LING]Cognitive science/Linguistics; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]; acoustic phonetics; code-switching; corpora development; discriminative model; Indian language identification; Language resources; language similarity; Machine learning; Signal processing systems Low-resourced languages
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URL: https://hal.inria.fr/hal-03616853/file/TALLIP_Overview.pdf https://doi.org/10.1145/3523179 https://hal.inria.fr/hal-03616853 https://hal.inria.fr/hal-03616853/document
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The AMAR mechanism: nominal expressions in the Bantu languages are shaped by apposition and reintegration.
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In: ISSN: 0024-3949 ; EISSN: 1613-396X ; Linguistics ; https://halshs.archives-ouvertes.fr/halshs-03433014 ; Linguistics, De Gruyter, In press, ⟨10.1515/ling-2020-0132⟩ (2022)
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US-amerikanische Jiddische und Pennsylvania-Deutsche Medien zwischen lokaler Verankerung und Transnationalisierung
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In: ISSN: 0014-2115 ; EISSN: 2426-5543 ; Etudes Germaniques ; https://halshs.archives-ouvertes.fr/halshs-03559078 ; Etudes Germaniques, Klincksieck, 2022, Les études germaniques et le transnational : enjeux d’un questionnement scientifique et épistémologique, 76 (3), pp.379-398 (2022)
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The puzzling nuanced status of who free relative clauses in English: a follow-up to Patterson and Caponigro (2015)
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In: ENGLISH LANGUAGE & LINGUISTICS, vol 26, iss 1 (2022)
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“Dawning the Word”, language politics for life ; “Amanecer la palabra”, políticas lingüísticas para la vida
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In: ISSN: 2145-5082 ; Revista Mundo Amazonico ; https://hal.archives-ouvertes.fr/hal-03580959 ; Revista Mundo Amazonico, 2022, Regímenes de movilidad y presencia en la Amazonía urbana, 13 (1) ; https://revistas.unal.edu.co/index.php/imanimundo/article/view/88495 (2022)
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