This paper introduces two multilingual government themed corpora in various
South African languages. The corpora were collected by gathering the South
African Government newspaper (Vuk'uzenzele), as well as South African
government speeches (ZA-gov-multilingual), that are translated into all 11
South African official languages. The corpora can be used for a myriad of
downstream NLP tasks. The corpora were created to allow researchers to study
the language used in South African government publications, with a focus on
understanding how South African government officials communicate with their
constituents.
In this paper we highlight the process of gathering, cleaning and making
available the corpora. We create parallel sentence corpora for Neural Machine
Translation (NMT) tasks using Language-Agnostic Sentence Representations
(LASER) embeddings. With these aligned sentences we then provide NMT benchmarks
for 9 indigenous languages by fine-tuning a massively multilingual pre-trained
language model. \end{abstra

本文介绍了两个多语言政府主题语料库，并使用 Language-Agnostic Sentence Representations（LASER）嵌入创建平行的句子语料库，为 9 种土著语言提供 NMT 基准测试。