Natural language processing (NLP) tasks like named entity recognition (NER) and automatic text summarization assist in the understanding of vast numbers of documents across a wide variety of domains. While large amounts of available data have lead to strong performance on many tasks for high-resource languages like English, for less-resourced languages, performance often lags due to a scarcity of data.