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Towards the automatic processing of Yongning Na (Sino-Tibetan): developing a 'light' acoustic model of the target language and testing 'heavyweight' models from five national languages
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In: Proceedings of the 4th International Workshop on Spoken Language Technologies for Under-resourced Languages (SLTU 2014) ; 4th International Workshop on Spoken Language Technologies for Under-resourced Languages (SLTU 2014) ; https://halshs.archives-ouvertes.fr/halshs-00980431 ; 4th International Workshop on Spoken Language Technologies for Under-resourced Languages (SLTU 2014), May 2014, St Petersburg, Russia. pp.153-160 (2014)
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YAST : A scalable ASR toolkit especially designed for under-resourced languages
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In: International Conference onAsian Language Processing (IALP) ; https://hal.archives-ouvertes.fr/hal-01315532 ; International Conference onAsian Language Processing (IALP), Nov 2012, Hanoi, Vietnam. ⟨10.1109/IALP.2012.65⟩ (2012)
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Abstract:
International audience ; —The ability to collect and process a large amount of resources (e.g. vocabularies, text corpora, transcribed speech corpora and phonetic dictionaries) constitutes a critical prerequisite of systems based on statistical methods. This aspect becomes crucial for languages presenting a lack of computer resources, also known as under-resourced languages , such as Vietnamese. Our work consists in exploring an efficient methodology which can help the development of speech recognition systems for this kind of languages. This article presents a possible solution that provides a fast building and customisable ASR toolkit, called YAST. The latter includes an ASR library as well as a collection of C++/Java executable programs and some helper bash and perl scripts. These utilities allow on one hand, to build and evaluate an ASR system, on the other, to provide programming development hooks that permit to include state of the art techniques. YAST is freely available for non-commercial purposes. This paper summarizes the functionality of the toolkit and also provides a basic example carried out on the Vietnamese language.
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Keyword:
-YAST; [INFO]Computer Science [cs]; fast building ASR; pi-project; Speech recognition; SPEERAL; under-resourced languages
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URL: https://doi.org/10.1109/IALP.2012.65
https://hal.archives-ouvertes.fr/hal-01315532
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Extraction a parallel corpus for machine translation from and to under-resourced languages ; Extraction de corpus parallèle pour la traduction automatique depuis et vers une langue peu dotée
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In: https://tel.archives-ouvertes.fr/tel-00680046 ; Autre [cs.OH]. Université de Grenoble; Université de Hanoi -- Vietnam, 2011. Français. ⟨NNT : 2011GRENM065⟩ (2011)
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Exploitation d'un corpus bilingue comparable pour la création d'un système de traduction probabiliste Vietnamien - Français
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In: TALN ; TALN 2009, Senlis, 24-26 juin 2009 ; https://hal.archives-ouvertes.fr/hal-00959202 ; TALN 2009, Senlis, 24-26 juin 2009, 2009, Unknown, pp.x-x (2009)
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Mining a comparable text corpus for a Vietnamese - French statistical machine translation system
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In: Fourth Workshop on Statistical Machine Translation ; https://hal.archives-ouvertes.fr/hal-01393602 ; Fourth Workshop on Statistical Machine Translation, 2009, Athens, Greece. pp.165 - 172, ⟨10.3115/1626431.1626466⟩ ; http://www.statmt.org/wmt09/ (2009)
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TOWARDS THE AUTOMATIC PROCESSING OF YONGNING NA (SINO-TIBETAN): DEVELOPING A ‘LIGHT ’ ACOUSTIC MODEL OF THE TARGET LANGUAGE AND TESTING ‘HEAVYWEIGHT ’ MODELS FROM FIVE NATIONAL LANGUAGES
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In: http://hal.univ-grenoble-alpes.fr/docs/00/99/59/04/PDF/SLTU2014_Do_Michaud_Castelli_FINAL.pdf
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