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.