\section{Background}
\label{sec:background}


In 2021, the first edition of the workshop (and shared task) on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP) was proposed. For this edition, the task of machine translation was presented to the participants. The goal of this shared task was to learn machine translation models for ten indigenous languages. The participants were given ten sets of language pairs: Quechua–Spanish, Wixarika–Spanish, Shipibo-Konibo–Spanish, Asháninka–Spanish, Raramuri–Spanish, Nahuatl–Spanish, Otomí– Spanish, Aymara–Spanish, Guarani–Spanish, and Bribri–Spanish \citep{bib:findings_of_the_americas_nlp_2021_shared_task_on_open_machine_translation_for_indigenous_languages_of_the_americas}. For the 2022 edition, the participants were asked to present novel speech-to-text translation systems for Bribri–Spanish, Guaraní–Spanish, Kotiria–Portuguese, Wa'ikhana–Portuguese, and Quechua–Spanish \citep{bib:findings_of_the_second_americasnlp_competition_on_speech_to_text_translation}. Finally, in 2023, the task was machine translation for the ten pairs mentioned above, plus a new language pair, Chatino-Spanish \citep{bib:findings_of_the_americas_nlp_2023_shared_task_on_machine_translation_into_indigenous_languages}.

