Results 1 to 10 of about 80,002 (216)
Progress in Machine Translation
Engineering, 2022 After more than 70 years of evolution, great achievements have been made in machine translation. Especially in recent years, translation quality has been greatly improved with the emergence of neural machine translation (NMT).
Haifeng Wang +4 more
doaj +3 more sources
Reduction of Neural Machine Translation Failures by Incorporating Statistical Machine Translation
Mathematics, 2023 This paper proposes a hybrid machine translation (HMT) system that improves the quality of neural machine translation (NMT) by incorporating statistical machine translation (SMT).
Jani Dugonik +3 more
doaj +1 more source
Evaluation of English–Slovak Neural and Statistical Machine Translation
Applied Sciences, 2021 This study is focused on the comparison of phrase-based statistical machine translation (SMT) systems and neural machine translation (NMT) systems using automatic metrics for translation quality evaluation for the language pair of English and Slovak.
Lucia Benkova +3 more
doaj +1 more source
Translation Mechanism of Neural Machine Algorithm for Online English Resources
Complexity, 2021 At the level of English resource vocabulary, due to the lack of vocabulary alignment structure, the translation of neural machine translation has the problem of unfaithfulness.
Yanping Ye
doaj +1 more source
Journal of ICT, 2017 Achieving high accuracy in automatic translation tasks has been one of the challenging goals for researchers in the area of machine translation since decades.
Zakaria El Maazouzi +2 more
doaj +3 more sources
Computer Assisted Methods in Engineering and Science, 2022 Word sense disambiguation deals with deciding the word’s precise meaning in a certain specific context. One of the major problems in natural language processing is lexicalsemantic ambiguity, where a word has more than one meaning.
Sunita Rawat
doaj +1 more source
İstanbul Üniversitesi Çeviribilim Dergisi, 2022 Corpus-based machine translation (MT) has been the main approach to developing and implementing MT systems in both academia and the industry over the last three decades.
Gökhan Doğru
doaj +1 more source
Automatic evaluation of the quality of machine translation of a scientific text: the results of a five-year-long experiment [PDF]
E3S Web of Conferences, 2021 We report on various approaches to automatic evaluation of machine translation quality and describe three widely used methods. These methods, i.e. methods based on string matching and n-gram models, make it possible to compare the quality of machine ...
Ulitkin Ilya +3 more
doaj +1 more source
Discourse in Statistical Machine Translation
Discours, 2012 Current approaches to statistical machine translation assume that sentences in a text are independent, ignoring the property of connectedness present in virtually all discourse. We provide an extensive overview of the literature about statistical machine
Christian Hardmeier
doaj +1 more source
Lexical Diversity in Statistical and Neural Machine Translation
Information, 2022 Neural machine translation systems have revolutionized translation processes in terms of quantity and speed in recent years, and they have even been claimed to achieve human parity.
Mojca Brglez, Špela Vintar
doaj +1 more source