Results 61 to 70 of about 3,692,894 (287)

Accuracy-based scoring for phrase-based statistical machine translation [PDF]

, 2010
Although the scoring features of state-of-the-art Phrase-Based Statistical Machine Translation (PB-SMT) models are weighted so as to optimise an objective function measuring translation quality, the estimation of the features themselves does not have ...
Galron, Daniel, Way, Andy, Penkale, Sergio, Ma, Yanjun   +3 more
core   +1 more source

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, Chanhee Lee, Yeongwook Yang, Heuiseok Lim   +3 more
doaj   +1 more source

Factored Neural Machine Translation

CoRR, 2016
We present a new approach for neural machine translation (NMT) using the morphological and grammatical decomposition of the words (factors) in the output side of the neural network. This architecture addresses two main problems occurring in MT, namely dealing with a large target language vocabulary and the out of vocabulary (OOV) words. By the means of
Mercedes García-Martínez, Loïc Barrault, Fethi Bougares   +2 more
openaire   +3 more sources

Towards a user-friendly webservice architecture for statistical machine translation in the PANACEA project [PDF]

, 2011
This paper presents a webservice architecture for Statistical Machine Translation aimed at non-technical users. A workflow editor allows a user to combine different webservices using a graphical user interface.
Poch, Marc, Toral, Antonio, Way, Andy, Pecina, Pavel   +3 more
core   +1 more source

Microbiome−host proteostasis crosstalk—An emerging perspective on mechanisms and interventions toward healthy longevity

FEBS Letters, EarlyView.
Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley   +1 more source

Adversarial Neural Machine Translation

CoRR, 2017
In this paper, we study a new learning paradigm for Neural Machine Translation (NMT). Instead of maximizing the likelihood of the human translation as in previous works, we minimize the distinction between human translation and the translation given by an NMT model. To achieve this goal, inspired by the recent success of generative adversarial networks
Lijun Wu 0003, Yingce Xia, Fei Tian, Li Zhao 0007, Tao Qin 0001, Jianhuang Lai, Tie-Yan Liu   +6 more
openaire   +3 more sources

Modelling stem cell differentiation related processes—A practical overview for biologists

FEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar, Xinqi Yan, Lucas F. Jansen Klomp, Stefano Schivo, Janine N. Post   +4 more
wiley   +1 more source

Comparative analysis of machine translation for Hindi-Dogri text using rule-based, statistical, and neural approaches [PDF]

PeerJ Computer Science
Machine translation has made significant progress in several Indian languages; however, some, known as computationally low-resourced languages, have seen very little work in this field.
Joginder Kumar, Manik Rakhra, Preeti Dubey, Deepak Prashar, Leo Mrsic, Arfat Ahmad Khan, Seifedine Kadry, Jungeun Kim   +7 more
doaj   +2 more sources

WordNet gloss translation for under-resourced languages using multilingual neural machine translation

, 2019
In this paper, we translate the glosses in the English WordNet based on the expand approach for improving and generating wordnets with the help of multilingual neural machine translation. Neural Machine Translation (NMT) has recently been applied to many
McCrae, John P., Chakravarthi, Bharathi Raja, Arcan, Mihael   +2 more
core   +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, Hari Baskar Balasubramanian, Amir Pasokh, Marietta Zille   +3 more
wiley   +1 more source