… For reasons almost no one can now remember, arguments like that were successful in repressing empirical and statistical methods for thirtyyears, which explains in part why IBM’s …
F Stahlberg - Journal of Artificial Intelligence Research, 2020 - jair.org
… field of machinetranslation (MT), the automatic translation of … a major paradigm shift in recent years. Statistical MT, which … by neural machinetranslation (NMT), which tackles translation …
ML Forcada - Translation spaces, 2017 - jbe-platform.com
… The last few years have witnessed a surge in the interest of a new machinetranslation paradigm: neural machinetranslation (NMT). Neural machinetranslation is starting to displace its …
I Garcia - Target. International Journal of Translation Studies, 2010 - jbe-platform.com
… marking, which has been in use for over thirtyyears. Before and after testing, we also asked … The aim was to test whether translating by proofreading machinetranslation (while looking …
… We introduce our efforts towards building a universal neural machinetranslation (NMT) … translation quality of low-resource languages, while keeping high-resource language translation …
… neural machinetranslation decoder. We demonstrate that current neural machinetranslation could … We evaluated the performance of neural machinetranslation on all thirtytranslation …
… In October 1956, MIT called the first international conference on machinetranslation, at which foregathered some thirty specialists from Great Britain, Canada and the United States. Dr …
… large-scale survey of machinetranslation (MT) competencies … prevalence of translation technologies in the translation and … freelance translators, language service providers, translator …
… without machinetranslation (MT) tools. Thanks to the rapid development of artificial intelligence, MT now most widely assumes a new form, the so-called Neural MachineTranslation (…