What are some commercial machine translation services and APIs?

Mar 24, 2017 ... Neural Machine Translation by Jointly Learning to Align and Translate · A Neural Conversational Model. You will also find the previous ... 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. A mini series on machine translation using Seq2Seq network and then upgrading to using SeqSeq+Attention and finally using Transformers. Nov 25, 2023 ... Natural language processing (NLP) and Machine Translation (MT) methods can be used to automatically translate these terms. This scoping review ... Feb 24, 2022 ... Burmese remains a challenging language to translate using MT, and a lot of these challenges come from the language itself. 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 ... Large language models (LLMs) such as ChatGPT can produce coherent, cohesive, relevant, and fluent answers for various natural language processing (NLP) ... Machine Translation (MT) is an important area of Natural Language Processing (NLP) and a crucial application for an increasingly globalized world. Although ... 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 ... Machine translation using NLP involves training algorithms to automatically translate text from one language to another. This is done using large sets of texts ...