What are some key datasets and benchmarks used in machine translation research?

Professor, Johns Hopkins University - ‪‪Cited by 52161‬‬ - ‪Machine Translation‬ - ‪Natural Language Processing‬ For example, from English to Spanish. Models are based on the Transformer sequence-to-sequence architecture [nlp-machine_translation5]. An example script on how ... Apr 15, 2019 ... Machine translation has recently made significant progress with a shift to neural models and rapid development of new architectures such as the ... 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 ... Findings of the AmericasNLP 2021 Shared Task on Open Machine Translation for Indigenous Languages of the Americas · Manuel Mager, Arturo Oncevay, Abteen ... 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 ... May 31, 2024 ... Keras NLP. Get started with KerasNLP. Text Generation. Generate Text ... Machine Translation (Luong et al., 2015). This tutorial: An ... ... machine translation and machine translation research. The conference is held annually in connection with larger conferences on natural language processing. I am currently an applied researcher and manager with research interests in the areas of machine learning, natural language processing, machine translation, ... Machine Translation is one of the most important applications of Natural Language Processing. Formed in 2002, the Machine Translation Group, ...