What are some emerging trends and future directions in the intersection of machine translation and other NLP areas?

Jul 5, 2016 ... Machine translation is one of the holy grails of natural language processing. It is a seemingly well-defined task: converting text in one ... Dec 23, 2016 ... Harvard NLP project draws Systran's eye, is co-developed into open-source NMT. Systran expects competitors to quickly build products based ... [Natural Language Processing, 9] 2012. viii, 157 pp. Publishing status: Available Published online on 23 July 2012. © John Benjamins Publishing Company. Deep Neural Machine Translation is a modern technology based on Machine Learning and Artificial Intelligence (AI). Deep learning is a sub-field of Machine ... Nov 3, 2021 ... from transformers import MarianMTModel, MarianTokenizer. tokenizer = MarianTokenizer.from_pretrained(“Helsinki-NLP/opus-mt-en-de”) Jul 6, 2022 ... BLEU, a seminal benchmark for testing the efficacy of machine translation and natural language generation tasks, was published 20 years ago. 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. The NLP group at Notre Dame is interested in all aspects of NLP, with a focus on machine translation and connections with formal language theory. Jan 11, 2024 ... In Natural Language Processing (NLP), the goal of machine translation is to produce translations that are not only grammatically correct but ... I am currently an applied researcher and manager with research interests in the areas of machine learning, natural language processing, machine translation, ...