BULB: Breaking the Unwritten Language Barrier

Abstract : The project Breaking the Unwritten Language Barrier (BULB), which brings together linguists and computer scientists, aims at supporting linguists in documenting unwritten languages. In order to achieve this we develop tools tailored to the needs of documentary linguists by building upon technology and expertise from the area of natural language processing, most prominently automatic speech recognition and machine translation. As a development and test bed for this we have chosen three less-resourced African 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 a dedicated software—Lig-Aikuma. After initial recording, the data is re-spoken by a reference speaker to enhance the signal quality and orally translated into French. 2) Automatic transcription of the Bantu languages at phoneme level and the French translation at word level. The recognized Bantu 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’s capabilities.
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-01836496
Contributor : Limsi Publications <>
Submitted on : Thursday, July 12, 2018 - 1:07:19 PM
Last modification on : Tuesday, April 2, 2019 - 1:46:57 AM

Licence


Distributed under a Creative Commons Attribution - NonCommercial - NoDerivatives 4.0 International License

Identifiers

Citation

Gilles Adda, Martine Adda-Decker, Odette Ambouroue, Laurent Besacier, David Blachon, et al.. BULB: Breaking the Unwritten Language Barrier. Computational Methods for Endangered Language Documentation and Description, May 2016, Yogyakarta, Indonesia. pp.8-14, ⟨10.1016/j.procs.2016.04.023⟩. ⟨hal-01836496⟩

Share

Metrics

Record views

87