Results 11 to 20 of about 221,770 (298)
Revista Tradumàtica, 2017 From the outset, automatic translation was dominated by systems based on linguistic information, but then later other approaches opened up the way, such as translation memories and statistical machine translation which draw on parallel language corpora ...
Francisco Casacuberta Nolla +1 more
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Sublemma-Based Neural Machine Translation [PDF]
Complexity, 2021 Powerful deep learning approach frees us from feature engineering in many artificial intelligence tasks. The approach is able to extract efficient representations from the input data, if the data are large enough. Unfortunately, it is not always possible
Thien Nguyen, Huu Nguyen, Phuoc Tran
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Synchronous Bidirectional Neural Machine Translation [PDF]
Transactions of the Association for Computational Linguistics, 2019 Existing approaches to neural machine translation (NMT) generate the target language sequence token-by-token from left to right. However, this kind of unidirectional decoding framework cannot make full use of the target-side future contexts which can be ...
Zhou, Long +2 more
doaj +4 more sources
Translating Phrases in Neural Machine Translation [PDF]
Proceedings of the 2017 Conference on Empirical Methods in Natural
Language Processing, 2017 Accepted by EMNLP ...
Xing Wang +3 more
openalex +4 more sources
Learning to Translate in Real-time with Neural Machine Translation [PDF]
Proceedings of the 15th Conference of the European Chapter of the
Association for Computational Linguistics: Volume 1, Long Papers, 2017 Translating in real-time, a.k.a. simultaneous translation, outputs translation words before the input sentence ends, which is a challenging problem for conventional machine translation methods.
Cho, Kyunghyun +3 more
core +6 more sources
Generative Neural Machine Translation [PDF]
, 2018 We introduce Generative Neural Machine Translation (GNMT), a latent variable architecture which is designed to model the semantics of the source and target sentences.
Barber, David, Shah, Harshil
core +3 more sources
Translating Akkadian to English with neural machine translation. [PDF]
PNAS Nexus, 2023 Abstract Cuneiform is one of the earliest writing systems in recorded human history (ca. 3,400 BCE–75 CE). Hundreds of thousands of such texts were found over the last two centuries, most of which are written in Sumerian and Akkadian.
Gutherz G +4 more
europepmc +3 more sources
Alignment-Based Neural Machine Translation [PDF]
Proceedings of the First Conference on Machine Translation: Volume 1,
Research Papers, 2016 Tamer Alkhouli +5 more
openalex +4 more sources
Revisiting Negation in Neural Machine Translation [PDF]
Transactions of the Association for Computational Linguistics, 2021 In this paper, we evaluate the translation of negation both automatically and manually, in English–German (EN–DE) and English– Chinese (EN–ZH). We show that the ability of neural machine translation (NMT) models to translate negation has improved with deeper and more advanced networks, although the performance varies between language pairs and ...
Gongbo Tang +4 more
openaire +5 more sources
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
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