How can we address the potential for machine translation to perpetuate or amplify existing biases?

Machine Translation (MT) is the task of automatically converting one natural language into another, preserving the meaning of the input text, and producing ... Jul 7, 2021 ... Machine Translation Challenges · Buy nice or buy twice. The cost can also be a negative factor. · Easy does it. Similar to the above – if ... Jan 11, 2024 ... In Natural Language Processing (NLP), the goal of machine translation is to produce translations that are not only grammatically correct but ... From then on, MT has been considered to be one of the most challenging tasks in the field of natural language processing (NLP). In terms of methodology ... Neural Machine Translation (NMT) systems ... I work on multilingual models, machine translation, speech recognition, and NLP for under-served languages. Oct 2, 2023 ... Neural Machine Translation (NMT) methods based on Natural Language Processing (NLP) are crucial as they facilitate information sharing and communication among ... 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 ... Feb 24, 2022 ... Burmese remains a challenging language to translate using MT, and a lot of these challenges come from the language itself. Developed the machine translation model using Natural Language Processing (NLP) techniques. Ensured translations included logical sentence structures for ... Findings of the AmericasNLP 2021 Shared Task on Open Machine Translation for Indigenous Languages of the Americas · Manuel Mager, Arturo Oncevay, Abteen ...