Dialectal and Low Resource Machine Translation for Aromanian

Alexandru-Iulius Jerpelea; Alina Radoi; Sergiu Nisioi

COLING 2025main1 citations

Dialectal and Low Resource Machine Translation for Aromanian

Alexandru-Iulius Jerpelea, Alina Radoi, Sergiu Nisioi

Abstract

We present a neural machine translation system that can translate between Romanian, English, and Aromanian (an endangered Eastern Romance language); the first of its kind. BLEU scores range from 17 to 32 depending on the direction and genre of the text. Alongside, we release the biggest known Aromanian-Romanian bilingual corpus, consisting of 80k cleaned sentence pairs. Additional tools such as an agnostic sentence embedder (used for both text mining and automatic evaluation) and a diacritics converter are also presented. Lastly, we describe the online deployment of our quantized model, considering a CPU-driven limited resource scenario.

BibTeX

@inproceedings{jerpelea-etal-2025-dialectal,
    title = "Dialectal and Low Resource Machine Translation for {A}romanian",
    author = "Jerpelea, Alexandru-Iulius  and
      Radoi, Alina  and
      Nisioi, Sergiu",
    editor = "Rambow, Owen  and
      Wanner, Leo  and
      Apidianaki, Marianna  and
      Al-Khalifa, Hend  and
      Eugenio, Barbara Di  and
      Schockaert, Steven",
    booktitle = "Proceedings of the 31st International Conference on Computational Linguistics",
    month = jan,
    year = "2025",
    address = "Abu Dhabi, UAE",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.coling-main.481/",
    pages = "7209--7228"
}