Relevant bibliographies by topics / Under-resourced language

Contents

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

Academic literature on the topic 'Under-resourced language'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "Under-resourced language"

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Chen, Wenda, Mark Hasegawa-Johnson, and Nancy F. Chen. "Mismatched Crowdsourcing based Language Perception for Under-resourced Languages." Procedia Computer Science 81 (2016): 23–29. http://dx.doi.org/10.1016/j.procs.2016.04.025.

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Ko, Tom, and Brian Mak. "Eigentrigraphemes for under-resourced languages." Speech Communication 56 (January 2014): 132–41. http://dx.doi.org/10.1016/j.specom.2013.01.010.

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Tarmizi, Nursyahirah, Suhaila Saee, and Dayang Hanani Abang Ibrahim. "Author identification for Under-Resourced language (KadazanDusun)." Indonesian Journal of Electrical Engineering and Computer Science 17, no. 1 (2020): 248. http://dx.doi.org/10.11591/ijeecs.v17.i1.pp248-255.

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<span>This paper presents the task of Author Identification for KadazanDusun language by using tweets as the source of data to perform Author Identification task of short text on KadazanDusun, which is considered as one the under-resourced language in Malaysia. The aim of this paper is to demonstrate Author Identification of short text on KadazanDusun. Besides, this paper also examines the performance of two machine learning algorithms on the KadazanDusun data set by analyzing the stylometric features. Stylometric features are used to quantify the writing styles of the authors which incl
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Nursyahirah, Tarmizi, Saee Suhaila, and Hanani Abang Ibrahim Dayang. "Author identification for under-resourced language Kadazandusun." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 17, no. 1 (2020): 248–55. https://doi.org/10.11591/ijeecs.v17.i1.pp248-255.

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This paper presents the task of Author Identification for KadazanDusun language by using tweets as the source of data to perform Author Identification task of short text on KadazanDusun, which is considered as one the under-resourced language in Malaysia. The aim of this paper is to demonstrate Author Identification of short text on KadazanDusun. Besides, this paper also examines the performance of two machine learning algorithms on the KadazanDusun data set by analyzing the stylometric features. Stylometric features are used to quantify the writing styles of the authors which includes charact
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Selamat, Ali, and Nicholas Akosu. "Word-length algorithm for language identification of under-resourced languages." Journal of King Saud University - Computer and Information Sciences 28, no. 4 (2016): 457–69. http://dx.doi.org/10.1016/j.jksuci.2014.12.004.

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Cunliffe, Daniel, Andreas Vlachidis, Daniel Williams, and Douglas Tudhope. "Natural language processing for under-resourced languages: Developing a Welsh natural language toolkit." Computer Speech & Language 72 (March 2022): 101311. http://dx.doi.org/10.1016/j.csl.2021.101311.

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Phung, Trung-Nghia, Duc-Binh Nguyen, and Ngoc-Phuong Pham. "A Review on Speech Recognition for Under-Resourced Languages." International Journal of Knowledge and Systems Science 15, no. 1 (2023): 1–16. http://dx.doi.org/10.4018/ijkss.332869.

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Fundamental speech recognition technologies for high-resourced languages are currently successful to build high-quality applications with the use of deep learning models. However, the problem of “borrowing” these speech recognition technologies for under-resourced languages like Vietnamese still has challenges. This study reviews fundamental studies on speech recognition in general as well as speech recognition in Vietnamese, an under-resourced language in particular. Then, it specifies the urgent issues that need current research attention to build Vietnamese speech recognition applications i
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Daigneault, Anna Luisa, and Gregory D. S. Anderson. "Living Dictionaries: A Platform for Indigenous and Under-Resourced Languages." Dictionaries: Journal of the Dictionary Society of North America 44, no. 2 (2023): 57–74. http://dx.doi.org/10.1353/dic.2023.a915065.

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ABSTRACT: Due to globalization, cultural assimilation, the long-term impacts of colonization, and official (or de facto ) policies hostile to linguistic diversity, many languages of the world are threatened or endangered. Free online technological tools can assist in documentation efforts and revitalization programs, while also providing safe online spaces in which materials can be systematically recorded and shared. Led by community activists and linguists, Living Dictionaries are collaborative multimedia projects that are editable, expandable, and searchable. Using the latest web technologie
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Viet-Bac Le and L. Besacier. "Automatic Speech Recognition for Under-Resourced Languages: Application to Vietnamese Language." IEEE Transactions on Audio, Speech, and Language Processing 17, no. 8 (2009): 1471–82. http://dx.doi.org/10.1109/tasl.2009.2021723.

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Obare, Stephen, and Kennedy Ogada. "A review of natural language processing techniques for under-resourced languages." Advances in Science, Technology and Engineering Systems Journal 10, no. 02 (2025): 35–41. https://doi.org/10.25046/aj100204.

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Dissertations / Theses on the topic "Under-resourced language"

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Scarcella, Alessandro. "Recurrent neural network language models in the context of under-resourced South African languages." Master's thesis, University of Cape Town, 2018. http://hdl.handle.net/11427/29431.

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Over the past five years neural network models have been successful across a range of computational linguistic tasks. However, these triumphs have been concentrated in languages with significant resources such as large datasets. Thus, many languages, which are commonly referred to as under-resourced languages, have received little attention and have yet to benefit from recent advances. This investigation aims to evaluate the implications of recent advances in neural network language modelling techniques for under-resourced South African languages. Rudimentary, single layered recurrent neural n
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De, Vries Nicolaas Johannes. "Effective automatic speech recognition data collection for under–resourced languages / de Vries N.J." Thesis, North-West University, 2011. http://hdl.handle.net/10394/7354.

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As building transcribed speech corpora for under–resourced languages plays a pivotal role in developing automatic speech recognition (ASR) technologies for such languages, a key step in developing these technologies is the effective collection of ASR data, consisting of transcribed audio and associated meta data. The problem is that no suitable tool currently exists for effectively collecting ASR data for such languages. The specific context and requirements for effectively collecting ASR data for underresourced languages, render all currently known solutions unsuitable for such a task. Such r
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Van, Niekerk Daniel Rudolph. "Tone realisation for speech synthesis of Yorùbá / Daniel Rudolph van Niekerk." Thesis, North West University, 2014. http://hdl.handle.net/10394/13054.

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Speech technologies such as text-to-speech synthesis (TTS) and automatic speech recognition (ASR) have recently generated much interest in the developed world as a user-interface medium to smartphones [1, 2]. However, it is also recognised that these technologies may potentially have a positive impact on the lives of those in the developing world, especially in Africa, by presenting an important medium for access to information where illiteracy and a lack of infrastructure play a limiting role [3, 4, 5, 6]. While these technologies continually experience important advances that keep extending
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Ralphs, Liana. "Peripheral Normativity: Language and literacy, teaching and learning in two Grade Four classrooms in an under-resourced school in the Western Cape." Master's thesis, University of Cape Town, 2009. http://hdl.handle.net/11427/8276.

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This study focuses on how children in the post-Foundation phase of Primary Schooling encounter reading and writing practices and learn to be certain kinds of readers and writers in poorly-resourced school settings in the Western Cape in South Africa. The aim of this research was to investigate how literacy practices in a socially situated domain, such as a classroom in a poorly-resourced school, are shaped by both the internal dynamics of classroom teaching as well as by external factors beyond the school, relating to the social location of the school within a peripheral social context. Throug
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Ahmed, Assowe Houssein. "Construction et évaluation pour la TA d'un corpus journalistique bilingue : application au français-somali." Thesis, Université Grenoble Alpes (ComUE), 2019. http://www.theses.fr/2019GREAM019/document.

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Dans le cadre des travaux en cours pour informatiser un grand nombre de langues « peu dotées », en particulier celles de l’espace francophone, nous avons créé un système de traduction automatique français-somali dédié à un sous-langage journalistique, permettant d’obtenir des traductions de qualité, à partir d’un corpus bilingue construit par post-édition des résultats de Google Translate (GT), à destination des populations somalophones et non francophones de la Corne de l’Afrique. Pour cela, nous avons constitué le tout premier corpus parallèle français-somali de qualité, comprenant à ce jour
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Samson, Juan Sarah Flora. "Exploiting resources from closely-related languages for automatic speech recognition in low-resource languages from Malaysia." Thesis, Université Grenoble Alpes (ComUE), 2015. http://www.theses.fr/2015GREAM061/document.

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Les langues en Malaisie meurent à un rythme alarmant. A l'heure actuelle, 15 langues sont en danger alors que deux langues se sont éteintes récemment. Une des méthodes pour sauvegarder les langues est de les documenter, mais c'est une tâche fastidieuse lorsque celle-ci est effectuée manuellement.Un système de reconnaissance automatique de la parole (RAP) serait utile pour accélérer le processus de documentation de ressources orales. Cependant, la construction des systèmes de RAP pour une langue cible nécessite une grande quantité de données d'apprentissage comme le suggèrent les techniques act
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Barnes, Jeremy. "Cross-lingual sentiment analysis for under-resourced languages." Doctoral thesis, Universitat Pompeu Fabra, 2019. http://hdl.handle.net/10803/665480.

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Sentiment Analysis is a task that aims to calculate the polarity of text automatically. While some languages, such as English, have a vast array of resources to enable sentiment analysis, most under-resourced languages lack them. Cross-lingual Sentiment Analysis (CLSA) attempts to make use of resource-rich languages in order to create or improve sentiment analysis systems in an under-resourced language. In this thesis, we propose cross-lingual sentiment approaches that have minimal parallel data requirements, while making the best use of available monolingual data. We propose a model to incorp
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Manaileng, Mabu Johannes. "Grapheme-based continuous speech recognition for some of the under- resourced languages of Limpopo Province." Thesis, University of Limpopo, 2015. http://hdl.handle.net/10386/1615.

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Thesis (M.Sc. (Computer Science)) -- University of Limpopo, 2015<br>This study investigates the potential of using graphemes, instead of phonemes, as acoustic sub-word units for monolingual and cross-lingual speech recognition for some of the under-resourced languages of the Limpopo Province, namely, IsiNdebele, Sepedi and Tshivenda. The performance of a grapheme-based recognition system is compared to that of phoneme-based recognition system. For each selected under-resourced language, automatic speech recognition (ASR) system based on the use of hidden Markov models (HMMs) was developed usi
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Do, Thi Ngoc Diep. "Extraction de corpus parallèle pour la traduction automatique depuis et vers une langue peu dotée." Phd thesis, Université de Grenoble, 2011. http://tel.archives-ouvertes.fr/tel-00680046.

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Les systèmes de traduction automatique obtiennent aujourd'hui de bons résultats sur certains couples de langues comme anglais - français, anglais - chinois, anglais - espagnol, etc. Les approches de traduction empiriques, particulièrement l'approche de traduction automatique probabiliste, nous permettent de construire rapidement un système de traduction si des corpus de données adéquats sont disponibles. En effet, la traduction automatique probabiliste est fondée sur l'apprentissage de modèles à partir de grands corpus parallèles bilingues pour les langues source et cible. Toutefois, la recher
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De, Lagane de Malezieux Guillaume. "Contributions à l’ingénierie multilingue et sémantique des exigences en système de systèmes." Electronic Thesis or Diss., Université Grenoble Alpes, 2023. http://www.theses.fr/2023GRALM061.

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Notre recherche concerne le traitement de grosses spécifications dans le domaine des systèmes de systèmes. Un cahier des charges ou une spécification est un ensemble structuré d’exigences. Les outils actuels ne permettent pas de détecter les cas d’inconsistance, d’incomplétude, voire d’incorrection (dus à des ambiguïtés) ou de difficulté de compréhension (due à la complexité des énoncés), qui posent de nombreux problèmes, et peuvent même causer des catastrophes lors de la réalisation puis de la mise en œuvre1. Après avoir fait un état de l’art assez complet sur les systèmes de traitement des e
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Books on the topic "Under-resourced language"

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Ekpenyong, Moses Effiong, ed. Human Language Technologies for Under-Resourced African Languages. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-69960-8.

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Human Language Technologies for Under-Resourced African Languages: Design, Challenges, and Prospects. Springer, 2018.

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Christian, Donna, and Kathleen M. Bailey. Research on Teaching and Learning English in under-Resourced Contexts. Taylor & Francis Group, 2021.

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Christian, Donna, and Kathleen M. Bailey. Research on Teaching and Learning English in under-Resourced Contexts. Taylor & Francis Group, 2021.

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Research on Teaching and Learning English in under-Resourced Contexts. Taylor & Francis Group, 2021.

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Christian, Donna, and Kathleen M. Bailey. Research on Teaching and Learning English in under-Resourced Contexts. Taylor & Francis Group, 2021.

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Christian, Donna, and Kathleen M. Bailey. Research on Teaching and Learning English in under-Resourced Contexts. Taylor & Francis Group, 2021.

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Christian, Donna, and Kathleen M. Bailey. Research on Teaching and Learning English in under-Resourced Contexts. Taylor & Francis Group, 2021.

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Linguistics, Association for Computational. Proceedings of the 4th International Conference on Natural Language and Speech Processing: Workshop on NLP Solutions for under Resourced Languages. Association for Computational Linguistics, 2021.

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Palmer, Deborah K., and Suzanne García-Mateus. Gentrification and Bilingual Education. Rowman & Littlefield Publishing Group, 2022. https://doi.org/10.5040/9781666988611.

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This unique volume brings together findings from six separate but interconnected studies, carried out over seven years in the same small bilingual elementary school. During a period of rapid gentrification in Austin, Texas, Hillside Elementary transformed from a predominantly Latinx, under-resourced and under-enrolled neighborhood school with a transitional bilingual program to a two-way dual language bilingual education (TWBE) school with a waiting list of middle-class families from across the school district. Chapter authors entered the context as researchers at various points along the time
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Book chapters on the topic "Under-resourced language"

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Balchin, Ross, Rudi Coetzer, Christian Salas, and Jan Webster. "Recognising and engaging with language problems." In Addressing Brain Injury in Under-Resourced Settings. Psychology Press, 2017. http://dx.doi.org/10.4324/9781315696959-7.

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Jana, Sandip, Joyanta Basu, Tapan Kumar Basu, and Amiya Karmakar. "Santali Vowel Recognition: An Under-Resourced Tribal Language." In Communications in Computer and Information Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-75164-6_15.

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Boucherit, Oussama, and Kheireddine Abainia. "Offensive Language Detection in Under-Resourced Algerian Dialectal Arabic Language." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3481-2_49.

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Barroso, Nora, Karmele López de Ipiña, Manuel Graña, and Aitzol Ezeiza. "Language Identification for Under-Resourced Languages in the Basque Context." In Advances in Intelligent and Soft Computing. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19644-7_50.

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Anastasiou, Dimitra. "Language Report Luxembourgish." In European Language Equality. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-28819-7_26.

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AbstractThe Grand Duchy of Luxembourg is a small and multilingual country. The national language is Luxembourgish, and the legislative language is French. French, German and Luxembourgish are the three administrative and judicial languages. There are about 650,000 inhabitants and the majority of Luxembourgers speak four languages. As of March 2021, there were 59,000 Wikipedia articles written in Luxembourgish. Luxembourgish is very under-resourced when it comes to data resources and tools. This chapter provides a brief overview of the current level of support that Luxembourgish receives throug
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Patil, Rupali S., and Satish R. Kolhe. "Resource Creation for Sentiment Analysis of Under-Resourced Language: Marathi." In Communications in Computer and Information Science. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0507-9_37.

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Huaman, Elwin, Wendi Huaman, and Jorge Luis Huaman. "Making an Under-Resourced Language Available on the Wikidata Knowledge Graph: Quechua Language." In Communications in Computer and Information Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-91428-7_15.

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Babych, Bogdan, Fangzhong Su, Anthony Hartley, et al. "Cross-Language Comparability and Its Applications for MT." In Using Comparable Corpora for Under-Resourced Areas of Machine Translation. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-99004-0_2.

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Jansen van Vueren, Joshua, and Thomas Niesler. "Optimised Code-Switched Language Model Data Augmentation in Four Under-Resourced South African Languages." In Speech and Computer. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87802-3_28.

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Skadiņa, Inguna, Andrejs Vasiḷjevs, Mārcis Pinnis, et al. "Deep Dive Machine Translation." In European Language Equality. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-28819-7_40.

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AbstractMachine Translation (MT) is one of the oldest language technologies having been researched for more than 70 years. However, it is only during the last decade that it has been widely accepted by the general public, to the point where in many cases it has become an indispensable tool for the global community, supporting communication between nations and lowering language barriers. Still, there remain major gaps in the technology that need addressing before it can be successfully a0146pplied in under-resourced settings, can understand context and use world knowledge. This chapter provides
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Conference papers on the topic "Under-resourced language"

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Ajayi, Tunde Oluwaseyi, Mihael Arcan, and Paul Buitelaar. "Cross-lingual Transfer and Multilingual Learning for Detecting Harmful Behaviour in African Under-Resourced Language Dialogue." In Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.sigdial-1.49.

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Lotner, Noam, Ella Tetariy, Vered Silber-Varod, et al. "Cross-language phoneme recognition for under-resourced languages." In 2012 IEEE 27th Convention of Electrical & Electronics Engineers in Israel (IEEEI 2012). IEEE, 2012. http://dx.doi.org/10.1109/eeei.2012.6376993.

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Wills, Simone, Pieter Uys, Charl van Heerden, and Etienne Barnard. "Language Modeling for Speech Analytics in Under-Resourced Languages." In Interspeech 2020. ISCA, 2020. http://dx.doi.org/10.21437/interspeech.2020-1586.

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Narayanan, Karthick, and Meriaba Takhellambam. "Emerging Role of Libraries in Language Archiving in India A Case Study of SiDHELA." In International Workshop on Digital Language Archives. University of North Texas, 2021. http://dx.doi.org/10.12794/langarc1851181.

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SiDHELA is a language archive developed by the Centre for Endangered Languages, Sikkim University in collaboration with the Central Library, Sikkim University. It is the first language archive developed in India. SiDHELA is a model attempt at digital archiving in collaboration with communities of Sikkim and North Bengal region of India. The main highlight of the paper is the possibilities which emerges out of a collaboration between under resourced indigenous communities and an institutional library backed by a language documentation project to curate digital contents for endangered and lesser
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Kumar, Atul, and Shyam Agrawal. "Empirical Study of Speech Synthesis Markup Language and Its Implementation for Punjabi Language." In The 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages. ISCA, 2018. http://dx.doi.org/10.21437/sltu.2018-22.

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Prasad, Manasa, Theresa Breiner, and Daan van Esch. "Mining Training Data for Language Modeling Across the World's Languages." In The 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages. ISCA, 2018. http://dx.doi.org/10.21437/sltu.2018-13.

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Foley, Ben, Josh Arnold, Rolando Coto-Solano, et al. "Building Speech Recognition Systems for Language Documentation: The CoEDL Endangered Language Pipeline and Inference System (ELPIS)." In The 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages. ISCA, 2018. http://dx.doi.org/10.21437/sltu.2018-42.

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Kumar Vuddagiri, Ravi, Krishna Gurugubelli, Priyam Jain, Hari Krishna Vydana, and Anil Kumar Vuppala. "IIITH-ILSC Speech Database for Indain Language Identification." In The 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages. ISCA, 2018. http://dx.doi.org/10.21437/sltu.2018-12.

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Chakraborty, Joyshree, Shikhamoni Nath, Nirmala S. R, and Samudravijaya K. "Language Identification of Assamese, Bengali and English Speech." In The 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages. ISCA, 2018. http://dx.doi.org/10.21437/sltu.2018-37.

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Bhowmik, Tanmay, and Shyamal Kumar Das Mandal. "Segmental and Supra Segmental Feature Based Speech Recognition System for Under Resourced Languages." In The 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages. ISCA, 2018. http://dx.doi.org/10.21437/sltu.2018-46.

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