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arXiv · 2410.17728

Dialectal and Low-Resource Machine Translation for Aromanian

Alexandru-Iulius Jerpelea·Alina Rădoi·Sergiu Nisioi
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Abstract

This paper presents the process of building a neural machine translation system with support for English, Romanian, and Aromanian - an endangered Eastern Romance language. The primary contribution of this research is twofold: (1) the creation of the most extensive Aromanian-Romanian parallel corpus to date, consisting of 79,000 sentence pairs, and (2) the development and comparative analysis of several machine translation models optimized for Aromanian. To accomplish this, we introduce a suite of auxiliary tools, including a language-agnostic sentence embedding model for text mining and automated evaluation, complemented by a diacritics conversion system for different writing standards. This research brings contributions to both computational linguistics and language preservation efforts by establishing essential resources for a historically under-resourced language. All datasets, trained models, and associated tools are public: https://huggingface.co/aronlp and https://arotranslate.com

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Alexandru-Iulius Jerpelea, Alina Rădoi, Sergiu Nisioi. 2024-10-23. Dialectal and Low-Resource Machine Translation for Aromanian. https://arxiv.org/abs/2410.17728

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