What are the potential risks and challenges associated with increasingly advanced machine translation capabilities?

Machine translation is the task of translating a sentence in a source language to a different target language. Results with a * indicate that the mean test ... Machine Translation (MT) is the task of automatically converting one natural language into another, preserving the meaning of the input text, and producing ... Neural Machine Translation (NMT) systems ... I work on multilingual models, machine translation, speech recognition, and NLP for under-served languages. Abstract: Machine translation is the process of using computers to convert one natural language into another natural language, shouldering the important ... Oct 11, 2023 ... ... translation (MT) has become a viable productivity tool in more widespread use. Advances in natural language processing, artificial ... 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 ... Machine Translation is effective in translating several linguistic phenomena ... The former relates to model- oriented NLP and the latter relates to data-oriented ... Recent advancements in neural machine translation (NMT) offer promising potential for generating cross-language clinical natural language processing (NLP) ... A mini series on machine translation using Seq2Seq network and then upgrading to using SeqSeq+Attention and finally using Transformers. Aug 22, 2023 ... Machine translation (MT) is a subfield of computational linguistics that focuses on the automated translation of text or speech from one language to another.