Results 51 to 60 of about 3,692,894 (287)
Neural machine translation of literary texts from English to Slovene
, 2019 Neural Machine Translation has shown promising performance in literary texts. Since literary machine translation has not yet been researched for the English-toSlovene translation direction, this paper aims to fulfill this gap by presenting a comparison ...
Kuzman, Taja +2 more
core +1 more source
Combining multi-domain statistical machine translation models using automatic classifiers [PDF]
, 2010 This paper presents a set of experiments on Domain Adaptation of Statistical Machine Translation systems. The experiments focus on Chinese-English and two domain-specific corpora. The paper presents a novel approach for combining multiple domain-trained
Li, Baoli +5 more
core +2 more sources
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
doaj +1 more source
Boosting Neural Machine Translation
CoRR, 2016 published in IJCNLP ...
Dakun Zhang +3 more
openaire +3 more sources
Neural Machine Translation with Contrastive Translation Memories
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022 Différents des travaux antérieurs qui utilisent des mémoires de traduction (TM) similaires mais redondantes, nous proposons un nouveau NMT à récupération augmentée pour modéliser des mémoires de traduction récupérées de manière contrastée qui sont globalement similaires à la phrase source tout en étant individuellement contrastives les unes par rapport
Xiuzhen Cheng +4 more
openaire +4 more sources
Terminology in neural machine translation: a case study of the canadian hansard
, 2023 Incorporating terminology into a neural machine translation (NMT) system is a feature of interest for many users of machine translation. In this case study of English-French Canadian Parliamentary text, we examine the performance of standard NMT systems ...
Tessier, Marc +3 more
core
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 +1 more source
Iterative Back-Translation for Neural Machine Translation [PDF]
Proceedings of the 2nd Workshop on Neural Machine Translation and Generation, 2018 We present iterative back-translation, a method for generating increasingly better synthetic parallel data from monolingual data to train neural machine translation systems. Our proposed method is very simple yet effective and highly applicable in practice. We demonstrate improvements in neural machine translation quality in both high and low resourced
Hoang, Cong Duy Vu +3 more
openaire +3 more sources
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
doaj +1 more source
The human gut microbiome across the life course
FEBS Letters, EarlyView.Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero +4 more
wiley +1 more source