Results 71 to 80 of about 341,942 (325)
ADAPTING HYBRID MACHINE TRANSLATION TECHNIQUES FOR CROSS-LANGUAGE TEXT RETRIEVAL SYSTEM [PDF]
Journal 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
LOST IN MACHINE TRANSLATION: CONTEXTUAL LINGUISTIC UNCERTAINTY
Vestnik 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
Sensors, 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
Machine translation technologies used in online translation industry [PDF]
, 2014 The article gives an overview of such machine translation technologies as Rule-based Machine Translation, Statistical Machine Translation, Hybrid Machine Translation as well as of Translation Memory.
Gimazitdinov, E. I., Morel Morel, D. A.
core
FEBS Letters, EarlyView.Glutaredoxin (Grx) 3 proteins contain a thioredoxin domain and one to three class II Grx domains. These proteins play a crucial role in iron homeostasis in eukaryotic cells. In human Grx3, at least one of the two Grx domains, together with the thioredoxin domain, is essential for its function in iron metabolism.
Laura Magdalena Jordt +4 more
wiley +1 more source
A MOOC on Approaches to Machine Translation
International Review of Research in Open and Distributed Learning, 2015 This paper describes the design, development and analysis of a MOOC entitled “Approaches to Machine Translation: rule-based, statistical and hybrid” providing lessons learnt on conclusions to be take into account in the future.
Marta Ruiz Costa-jussà +4 more
doaj +1 more source
STOUT: SMILES to IUPAC names using neural machine translation
Journal of Cheminformatics, 2021 Chemical compounds can be identified through a graphical depiction, a suitable string representation, or a chemical name. A universally accepted naming scheme for chemistry was established by the International Union of Pure and Applied Chemistry (IUPAC ...
Kohulan Rajan +2 more
doaj +1 more source
Hybrid rule-based - example-based MT: feeding apertium with sub-sentential translation units [PDF]
, 2009 This paper describes a hybrid machine translation (MT) approach that consists of integrating bilingual chunks (sub-sentential translation units) obtained from parallel corpora into an MT system built using the Apertium free/open-source rule-based machine
Forcada, Mikel +2 more
core +3 more sources
Evolutionary interplay between viruses and R‐loops
FEBS Letters, EarlyView.Viruses interact with specialized nucleic acid structures called R‐loops to influence host transcription, epigenetic states, latency, and immune evasion. This Perspective examines the roles of R‐loops in viral replication, integration, and silencing, and how viruses co‐opt or avoid these structures.
Zsolt Karányi +4 more
wiley +1 more source
A review of optical chemical structure recognition tools
Journal of Cheminformatics, 2020 Structural information about chemical compounds is typically conveyed as 2D images of molecular structures in scientific documents. Unfortunately, these depictions are not a machine-readable representation of the molecules.
Kohulan Rajan +3 more
doaj +1 more source