How does discourse analysis inform the development of better machine translation systems?

Jan 11, 2024 ... In Natural Language Processing (NLP), the goal of machine translation is to produce translations that are not only grammatically correct but ... Sep 21, 2024 ... Machine Translation (MT) and Natural Language Processing (NLP) have become essential technologies. Page 2. International Journal for ... NLP—natural language processing—is an emerging AI field thattrains computers to understand human languages. NLP uses machine learning algorithms to gain ... Keywords. machine translationevaluation. Type: Survey Paper. Information. Natural Language Processing , First View , pp. 1 - 31. DOI: https://doi.org/10.1017/ ... ... Natural Language Processing (NLP), a rich area focused on processing text of various natural languages. We notice that binary code analysis and NLP share a ... Oct 11, 2023 ... ... translation (MT) has become a viable productivity tool in more widespread use. Advances in natural language processing, artificial ... Abstract: Machine translation is the process of using computers to convert one natural language into another natural language, shouldering the important ... Neural Machine Translation (NMT) systems ... I work on multilingual models, machine translation, speech recognition, and NLP for under-served languages. In this article, we explore the potential of using sentence-level discourse structure for machine translation evaluation. We first design discourse-aware ... Dec 21, 2022 ... Statistical machine translation, known as SMT or StatMT, is an approach to machine translation that yields the most probable output (translation) of each ...