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1
Parallel Corpora in Mboshi (Bantu C25, Congo-Brazzaville)
In: 11th edition of the Language Resources and Evaluation Conference (LREC 2018) ; https://hal.archives-ouvertes.fr/hal-01710043 ; 11th edition of the Language Resources and Evaluation Conference (LREC 2018), ELRA, May 2018, Miyazaki, Japan (2018)
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2
Collecting, Transcribing, Analyzing : Machine-Assisted Linguistic Fieldwork ; Collecter, Transcrire, Analyser : quand la machine assiste le linguiste dans son travail de terrain
Gauthier, Elodie. - : HAL CCSD, 2018
In: https://tel.archives-ouvertes.fr/tel-01893309 ; Informatique et langage [cs.CL]. Université Grenoble Alpes, 2018. Français. ⟨NNT : 2018GREAM011⟩ (2018)
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Machine Assisted Analysis of Vowel Length Contrasts in Wolof ...
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4
LIG-AIKUMA: a Mobile App to Collect Parallel Speech for Under-Resourced Language Studies
In: Interspeech 2016 proceedings ; Interspeech 2016 (short demo paper) ; https://hal.archives-ouvertes.fr/hal-01350062 ; Interspeech 2016 (short demo paper), Sep 2016, San-Francisco, France (2016)
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5
BULB: Breaking the Unwritten Language Barrier
In: Procedia Computer Science ; Computational Methods for Endangered Language Documentation and Description ; https://hal.archives-ouvertes.fr/hal-01836496 ; Computational Methods for Endangered Language Documentation and Description, May 2016, Yogyakarta, Indonesia. pp.8-14, ⟨10.1016/j.procs.2016.04.023⟩ (2016)
Abstract: The project Breaking the Unwritten Language Barrier (BULB), which brings together linguists and computer scientists, aimsat supporting linguists in documenting unwritten languages. In order to achieve this we develop tools tailored to the needs ofdocumentary linguists by building upon technology and expertise from the area of natural language processing, most prominentlyautomatic speech recognition and machine translation. As a development and test bed for this we have chosen three less-resourcedAfrican languages from the Bantu family: Basaa, Myene and Embosi. Work within the project is divided into three main steps:1) Collection of a large corpus of speech (100h per language) at a reasonable cost. For this we use standard mobile devices and adedicated software—Lig-Aikuma. After initial recording, the data is re-spoken by a reference speaker to enhance the signal qualityand orally translated into French.2) Automatic transcription of the Bantu languages at phoneme level and the French translation at word level. The recognizedBantu phonemes and French words will then be automatically aligned.3) Tool development. In close cooperation and discussion with the linguists, the speech and language technologists will design and implement tools that will support the linguists in their work, taking into account the linguists’ needs and technology’scapabilities.
Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO]Computer Science [cs]; Endangered Languages; Low Resource Language
URL: https://hal.archives-ouvertes.fr/hal-01836496
https://doi.org/10.1016/j.procs.2016.04.023
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6
Innovative technologies for under-resourced language documentation: The BULB Project
In: CCURL proceedings ; Workshop CCURL 2016 - Collaboration and Computing for Under-Resourced Languages - LREC ; https://hal.archives-ouvertes.fr/hal-01350124 ; Workshop CCURL 2016 - Collaboration and Computing for Under-Resourced Languages - LREC, May 2016, Portoroz, Slovenia (2016)
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7
Innovative technologies for under-resourced language documentation: The BULB Project
In: CCURL proceedings ; Workshop CCURL 2016 - Collaboration and Computing for Under-Resourced Languages - LREC ; https://hal.archives-ouvertes.fr/hal-01350124 ; Workshop CCURL 2016 - Collaboration and Computing for Under-Resourced Languages - LREC, May 2016, Portoroz, Slovenia (2016)
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8
BULB: Breaking the Unwritten Language Barrier
In: Procedia Computer Science ; Computational Methods for Endangered Language Documentation and Description ; https://hal.archives-ouvertes.fr/hal-01836496 ; Computational Methods for Endangered Language Documentation and Description, May 2016, Yogyakarta, Indonesia. pp.8-14, ⟨10.1016/j.procs.2016.04.023⟩ (2016)
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