Xhosa-English Machine Translation: Working with a Low-Resource Language
نویسنده
چکیده
This report details the author’s experiences as a Distributed Research Experience for Undergraduates (DREU) summer research intern at Carnegie Mellon University’s Language Technologies Institute. Under the guidance of Prof. Carolyn Rosé, the author attempted to implement a phrase-based translation (i.e., statistical machine translation, or SMT) system for translating Xhosa text into English using the MOSES toolkit. Xhosa (isiXhosa) is a Bantu language widely used in South Africa; it is a low-resource language for which there is not a bevy of widely available language resources such as dictionaries, morphological analyzers, and so forth. Consequently, the author’s work focuses heavily on the process of putting together a parallel text, or bitext, on which a working translation model could be trained.
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