  While major languages often enjoy substantial attention and resources, the
linguistic diversity across the globe encompasses a multitude of smaller,
indigenous, and regional languages that lack the same level of computational
support. One such region is the Caribbean. While commonly labeled as "English
speaking", the ex-British Caribbean region consists of a myriad of Creole
languages thriving alongside English. In this paper, we present Guylingo: a
comprehensive corpus designed for advancing NLP research in the domain of
Creolese (Guyanese English-lexicon Creole), the most widely spoken language in
the culturally rich nation of Guyana. We first outline our framework for
gathering and digitizing this diverse corpus, inclusive of colloquial
expressions, idioms, and regional variations in a low-resource language. We
then demonstrate the challenges of training and evaluating NLP models for
machine translation in Creole. Lastly, we discuss the unique opportunities
presented by recent NLP advancements for accelerating the formal adoption of
Creole languages as official languages in the Caribbean.
