What are the challenges in ensuring the fairness and equity of machine translation systems?

Oct 11, 2023 ... ... translation (MT) has become a viable productivity tool in more widespread use. Advances in natural language processing, artificial ... ... nlp.cs.nyu.edu/GTM/. 1 Introduction. In the early 1990s, the U.S. government sponsored a competition among machine translation (MT) sys- tems. One of the ... Listed in Gartner Hype Cycle of NLP Technologies Neural Machine Translation in 2024 and Language Technologies in 2023. It is not just us saying it. Gartner has ... Professor, Johns Hopkins University - ‪‪Cited by 52161‬‬ - ‪Machine Translation‬ - ‪Natural Language Processing‬ Apr 8, 2024 ... The current study follows a common strategy in multilingual natural language processing (NLP), employing machine translation (MT) to translate ... Nov 3, 2021 ... from transformers import MarianMTModel, MarianTokenizer. tokenizer = MarianTokenizer.from_pretrained(“Helsinki-NLP/opus-mt-en-de”) May 19, 2022 ... His work focuses on low-resource machine translation and in computational typology for NLP, and he likes to support the development of NLP ... Can you translate Yorùbá to English? ... Machine translation (MT) is a popular Natural Language Processing (NLP) task which involves the automatic translation of ... A competition aimed at encouraging the development of machine translation (MT) systems for Indigenous languages of the Americas. Apr 15, 2019 ... Machine translation has recently made significant progress with a shift to neural models and rapid development of new architectures such as the ...