After generations of exploitation, Indigenous people often respond negatively to the idea that
their languages are data ready for the taking. By treating Indigenous knowledge as a …

Abstract Automatic Speech Recognition (ASR) system for children is as important as for
adults since children are more dependent on these systems nowadays, such as computer …

This thesis presents Bharathi Raja Asoka Chakravarthi's work on machine translation for
underresourced languages. As the internet becomes increasingly available to the whole …

Languages are classified as low-resource when they lack the quantity of data necessary for
training statistical and machine learning tools and models. Causes of resource scarcity vary …

In this article, we discuss which text, speech, and image technologies have been developed,
and would be feasible to develop, for the approximately 60 Indigenous languages spoken in …

" Transcription bottlenecks", created by a shortage of effective human transcribers are one of
the main challenges to endangered language (EL) documentation. Automatic speech …

Abstract Machine translation is one of the applications of natural language processing which
has been explored in different languages. Recently researchers started paying attention …

Abstract Interlinear Glossed Text (IGT) is a widely used format for encoding linguistic
information in language documentation projects and scholarly papers. Manual production of …

This paper describes the process of data processing and training of an automatic speech
recognition (ASR) system for Cook Islands Māori (CIM), an Indigenous language spoken by …

Abstract Language technologies are an increasingly common part of daily life for people
around the world. Millions of users per day access services like Google Translate and …