Results 51 to 60 of about 2,609,056 (293)
Humaniora, 2014 Machine translation is one of the technological advances that can help the translator to do the translation functions easier and faster. The purpose of this article is to analyze whether the machine translation can be relied upon as a substitute ...
Djuria Suprato
doaj +3 more sources
Learning labelled dependencies in machine translation evaluation [PDF]
, 2009 Recently novel MT evaluation metrics have been presented which go beyond pure string matching, and which correlate better than other existing metrics with human judgements.
He, Yifan, Way, Andy
core +2 more sources
Machine translation of Indonesian: a review
Communications in Science and Technology, 2019 Today, Machine Translation have an important role in communication. The need of Machine Translation System is getting higher in this information era.
Amalia Agung Septarina +2 more
doaj +1 more source
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
La traduction automatique : un outil pour les traducteurs ?
JoSTrans: The Journal of Specialised Translation, 2013 In recent years, machine translation has resurfaced in new forms: research projects, consumer software and websites providing instant and free online translations. How can a professional translator use these newly developed tools?
Caroline Champsaur
doaj +1 more source
MACHINE TRANSLATION, MACHINE TRANSLATION SYSTEMS AND THEIR SPECIFICATIONS
Naukovy Visnyk of South Ukrainian National Pedagogical University named after K. D. Ushynsky: Linguistic Sciences, 2021 The article is devoted to the study of machine translation, machine translation systems and their specificity. The relevance of the work is determined by fast and strong changes of auto-translators and sharply increasing, qualitatively changing needs.
Hlib Danylov +2 more
openaire +1 more source
Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential
FEBS Letters, EarlyView.Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta +3 more
wiley +1 more source
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
Lattice score based data cleaning for phrase-based statistical machine translation [PDF]
, 2010 Statistical machine translation relies heavily on parallel corpora to train its models for translation tasks. While more and more bilingual corpora are readily available, the quality of the sentence pairs should be taken into consideration.
Way, Andy +2 more
core +2 more sources
Epigenetic reprogramming of lineage switching in cancer
FEBS Letters, EarlyView.Cancer cells rarely commit to a single identity. Epigenetic mechanisms and tumor microenvironment cues push epithelial cells toward flexible, hybrid states that can shift into mesenchymal, neuroendocrine, or stem‐like fates, driving metastasis, drug resistance, and tumor heterogeneity. Targeting the epigenetic regulators behind these transitions, using
Ezgi Boyvatlı +4 more
wiley +1 more source