What are the ethical considerations related to the use of machine translation for endangered languages and indigenous communities?

Aug 7, 2019 ... Neural machine translation, or NMT for short, is the use of neural network models to learn a statistical model for machine translation. The key ... Feb 24, 2022 ... Burmese remains a challenging language to translate using MT, and a lot of these challenges come from the language itself. Feb 23, 2023 ... Make NLP and machine translations work so that all the Moomoos can understand what Moon Byul, Hwee In and Hwasa are colluding against Solar. Apr 8, 2024 ... The current study follows a common strategy in multilingual natural language processing (NLP), employing machine translation (MT) to translate ... Jul 6, 2022 ... BLEU, a seminal benchmark for testing the efficacy of machine translation and natural language generation tasks, was published 20 years ago. A competition aimed at encouraging the development of machine translation (MT) systems for Indigenous languages of the Americas. Recent advancements in neural machine translation (NMT) offer promising potential for generating cross-language clinical natural language processing (NLP) ... For example, from English to Spanish. Models are based on the Transformer sequence-to-sequence architecture [nlp-machine_translation5]. An example script on how ... Aug 11, 2024 ... NLP facilitates language translation, converting text from one language to another while preserving meaning, context and nuances. Improved ... Nov 3, 2021 ... from transformers import MarianMTModel, MarianTokenizer. tokenizer = MarianTokenizer.from_pretrained(“Helsinki-NLP/opus-mt-en-de”)