  Major advancement in the performance of machine translation models has been
made possible in part thanks to the availability of large-scale parallel
corpora. But for most languages in the world, the existence of such corpora is
rare. Emakhuwa, a language spoken in Mozambique, is like most African languages
low-resource in NLP terms. It lacks both computational and linguistic resources
and, to the best of our knowledge, few parallel corpora including Emakhuwa
already exist. In this paper we describe the creation of the
Emakhuwa-Portuguese parallel corpus, which is a collection of texts from the
Jehovah's Witness website and a variety of other sources including the African
Story Book website, the Universal Declaration of Human Rights and Mozambican
legal documents. The dataset contains 47,415 sentence pairs, amounting to
699,976 word tokens of Emakhuwa and 877,595 word tokens in Portuguese. After
normalization processes which remain to be completed, the corpus will be made
freely available for research use.
