What are the potential societal impacts of widespread use of machine translation?

Neural Machine Translation (NMT) systems ... I work on multilingual models, machine translation, speech recognition, and NLP for under-served languages. Jan 22, 2021 ... ... translations and various natural language processing techniques. These technologies are complementary to one another. Together, they bolster ... ... 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 ... Apr 22, 2023 ... If so, any advice on automated scripts for breakdown and reconstruction of text for python? Or maybe there are better models that can translate ... A competition aimed at encouraging the development of machine translation (MT) systems for Indigenous languages of the Americas. May 18, 2021 ... ... Machine Translation: Masking Irrelevant Objects Helps Grounding ... Language and Vision, Language Grounding & Multi-modal NLP, Machine Translation ... May 26, 2022 ... Description: Use KerasNLP to train a sequence-to-sequence Transformer model on the machine translation task. i This example uses Keras 3. View ... Dec 30, 2020 ... Machine translation or MT translates one natural language into another language automatically. The best thing about machine translation is that it can ... Machine Translation of the universal edition. Machine Translation provides high-quality translation between Chinese and English. It adopts Alibaba's advanced ... Professor, Johns Hopkins University - ‪‪Cited by 52161‬‬ - ‪Machine Translation‬ - ‪Natural Language Processing‬