What are the limitations of current machine translation systems for nuanced communication?

I am currently an applied researcher and manager with research interests in the areas of machine learning, natural language processing, machine translation, ... Machine translation is the task of translating a sentence in a source language to a different target language. Approaches for machine translation can range ... Nov 3, 2021 ... from transformers import MarianMTModel, MarianTokenizer. tokenizer = MarianTokenizer.from_pretrained(“Helsinki-NLP/opus-mt-en-de”) Machine Translation is effective in translating several linguistic phenomena ... The former relates to model- oriented NLP and the latter relates to data-oriented ... Dec 23, 2021 ... Ellipses are not very frequent in text,4 but for improving the accuracy of Natural Language Processing (NLP) systems that handle data with ... Recent advancements in neural machine translation (NMT) offer promising potential for generating cross-language clinical natural language processing (NLP) ... Findings of the AmericasNLP 2021 Shared Task on Open Machine Translation for Indigenous Languages of the Americas · Manuel Mager, Arturo Oncevay, Abteen ... NLP—natural language processing—is an emerging AI field thattrains computers to understand human languages. NLP uses machine learning algorithms to gain ... Mar 21, 2019 ... Can anyone explain a best method to handle unknown words in Neural machine translation instead of removing it and to know how google translate ... 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.