Oscar Moreno


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The REPU CSSpanish–Quechua Submission to the AmericasNLP 2021 Shared Task on Open Machine Translation
Oscar Moreno
Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas

We present the submission of REPUcs to the AmericasNLP machine translation shared task for the low resource language pair Spanish–Quechua. Our neural machine translation system ranked first in Track two (development set not used for training) and third in Track one (training includes development data). Our contribution is focused on: (i) the collection of new parallel data from different web sources (poems, lyrics, lexicons, handbooks), and (ii) using large Spanish–English data for pre-training and then fine-tuning the Spanish–Quechua system. This paper describes the new parallel corpora and our approach in detail.