Results 51 to 60 of about 221,770 (298)
DESIGN OF TRANSLATION AMBIGUITY ELIMINATION METHOD BASED ON RECURRENT NEURAL NETWORKS [PDF]
Acta Informatica MalaysiaThe ambiguity of language inevitably leads to the ambiguity of translation, and how to deal with translation ambiguity has become a persistent focus of attention for both human translation and machine translation.
Jianzhou Cui
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Unsupervised Neural Machine Translation
, 2017 In spite of the recent success of neural machine translation (NMT) in standard benchmarks, the lack of large parallel corpora poses a major practical problem for many language pairs. There have been several proposals to alleviate this issue with, for instance, triangulation and semi-supervised learning techniques, but they still require a strong cross ...
Artetxe Zurutuza, Mikel +3 more
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Learning to Parse and Translate Improves Neural Machine Translation
, 2017 There has been relatively little attention to incorporating linguistic prior to neural machine translation. Much of the previous work was further constrained to considering linguistic prior on the source side.
Cho, Kyunghyun +2 more
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Amharic-arabic Neural Machine Translation [PDF]
5th International Conference on Data Mining and Applications (DMAP 2019), 2019 Many automatic translation works have been addressed between major European language pairs, by taking advantage of large scale parallel corpora, but very few research works are conducted on the Amharic-Arabic language pair due to its parallel data scarcity.
H. L. Shashirekha, Ibrahim Gashaw
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Ancient Korean Neural Machine Translation
IEEE Access, 2020 Translation of the languages of ancient times can serve as a source for the content of various digital media and can be helpful in various fields such as natural phenomena, medicine, and science.
Chanjun Park +3 more
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Machine translation of English speech: Comparison of multiple algorithms
Journal of Intelligent Systems, 2022 In order to improve the efficiency of the English translation, machine translation is gradually and widely used. This study briefly introduces the neural network algorithm for speech recognition.
Wu Yijun, Qin Yonghong
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Cogent Arts & Humanities, 2023 This study aims to examine machine translation research in journals indexed in the Web of Science to find out the research trending issue, hotspot areas of research, and document co-citation analysis. To this end, 541 documents published between 1992 and
Mohammed Ali Mohsen +2 more
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Neural Machine Translation with Reconstruction
Proceedings of the AAAI Conference on Artificial Intelligence, 2017 Although end-to-end Neural Machine Translation (NMT) has achieved remarkable progress in the past two years, it suffers from a major drawback: translations generated by NMT systems often lack of adequacy. It has been widely observed that NMT tends to repeatedly translate some source words while mistakenly ignoring other words.
Tu, Zhaopeng +4 more
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Pre-Translation for Neural Machine Translation
, 2016 Recently, the development of neural machine translation (NMT) has significantly improved the translation quality of automatic machine translation. While most sentences are more accurate and fluent than translations by statistical machine translation (SMT)-based systems, in some cases, the NMT system produces translations that have a completely ...
Niehues, Jan +3 more
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Studia Rossica Posnaniensia, 2019 Machine translation (MT) is a relatively new field of science. MT systems are evolving in certain directions. The article discusses the possibilities and the future of systems currently offered to public by the biggest technological companies focusing on
Jakub Olas
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