Results 51 to 60 of about 362,031 (306)

Neural Semantic Encoders

open access: yes, 2017
We present a memory augmented neural network for natural language understanding: Neural Semantic Encoders. NSE is equipped with a novel memory update rule and has a variable sized encoding memory that evolves over time and maintains the understanding of ...
Munkhdalai, Tsendsuren, Yu, Hong
core   +1 more source

Photosynthesis under far‐red light—evolutionary adaptations and bioengineering of light‐harvesting complexes

open access: yesFEBS Letters, EarlyView.
Phototrophs evolved light‐harvesting systems adapted for efficient photon capture in habitats enriched in far‐red radiation. A subset of eukaryotic pigment‐binding proteins can absorb far‐red photons via low‐energy chlorophyll states known as red forms.
Antonello Amelii   +8 more
wiley   +1 more source

A detailed analysis of phrase-based and syntax-based machine translation: the search for systematic differences [PDF]

open access: yes, 2012
This paper describes a range of automatic and manual comparisons of phrase-based and syntax-based statistical machine translation methods applied to English-German and English-French translation of user-generated content.
Jennifer Foster   +4 more
core   +1 more source

Retrosynthetic reaction prediction using neural sequence-to-sequence models

open access: yes, 2017
We describe a fully data driven model that learns to perform a retrosynthetic reaction prediction task, which is treated as a sequence-to-sequence mapping problem.
Gomes, Joseph   +9 more
core   +2 more sources

By dawn or dusk—how circadian timing rewrites bacterial infection outcomes

open access: yesFEBS Letters, EarlyView.
The circadian clock shapes immune function, yet its influence on infection outcomes is only beginning to be understood. This review highlights how circadian timing alters host responses to the bacterial pathogens Salmonella enterica, Listeria monocytogenes, and Streptococcus pneumoniae revealing that the effectiveness of immune defense depends not only
Devons Mo   +2 more
wiley   +1 more source

ADAPTING HYBRID MACHINE TRANSLATION TECHNIQUES FOR CROSS-LANGUAGE TEXT RETRIEVAL SYSTEM [PDF]

open access: yesJournal of Engineering Science and Technology, 2017
This research work aims in developing Tamil to English Cross - language text retrieval system using hybrid machine translation approach. The hybrid machine translation system is a combination of rule based and statistical based approaches. In an existing
P. ISWARYA, V. RADHA
doaj  

A North Saami to South Saami Machine Translation Prototype

open access: yesNorthern European Journal of Language Technology, 2016
The paper describes a rule-based machine translation (MT) system from North to South Saami. The system is designed for a workflow where North Saami functions as pivot language in translation from Norwegian or Swedish. We envisage manual translation from
Lene Antonsen   +2 more
doaj   +1 more source

Interplay between circadian and other transcription factors—Implications for cycling transcriptome reprogramming

open access: yesFEBS Letters, EarlyView.
This perspective highlights emerging insights into how the circadian transcription factor CLOCK:BMAL1 regulates chromatin architecture, cooperates with other transcription factors, and coordinates enhancer dynamics. We propose an updated framework for how circadian transcription factors operate within dynamic and multifactorial chromatin landscapes ...
Xinyu Y. Nie, Jerome S. Menet
wiley   +1 more source

LOST IN MACHINE TRANSLATION: CONTEXTUAL LINGUISTIC UNCERTAINTY

open access: yesVestnik Volgogradskogo Gosudarstvennogo Universiteta. Seriâ 2. Âzykoznanie, 2019
The article considers the issues related to the semantic, grammatical, stylistic and technical difficulties currently present in machine translation and compares its four main approaches: Rule-based (RBMT), Corpora-based (CBMT), Neural (NMT), and ...
Anton V. Sukhoverkhov   +4 more
doaj   +1 more source

Brain-Computer Interface-Based Humanoid Control: A Review

open access: yesSensors, 2020
A Brain-Computer Interface (BCI) acts as a communication mechanism using brain signals to control external devices. The generation of such signals is sometimes independent of the nervous system, such as in Passive BCI.
Vinay Chamola   +3 more
doaj   +1 more source

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