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Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages

As MT researchers cannot solve the problem of low-resourcedness alone, we propose participatory research as a means to involve all necessary agents required in the MT development process. We demonstrate the feasibility and scalability of participatory research with a case study on MT for African languages.

Masakhane -- Machine Translation For Africa

Africa has over 2000 languages. Despite this, African languages account for a small portion of available resources and publications in Natural Language Processing. This is due to multiple factors, including a lack of focus from government and …

Implementation of A Neural Natural Language Understanding Component for Arabic Dialogue Systems

Natural Language Understanding (NLU) is considered a core component in implementing dialogue systems. NLU has been greatly enhanced by deep learning techniques such as word embeddings and deep neural network architectures, but current NLP methods for …