Results 111 to 120 of about 78,002 (309)

Handling named entities and compound verbs in phrase-based statistical machine translation [PDF]

, 2010
Data preprocessing plays a crucial role in phrase-based statistical machine translation (PB-SMT). In this paper, we show how single-tokenization of two types of multi-word expressions (MWE), namely named entities (NE) and compound verbs, as well as ...
Way, Andy, Pal, Santanu, Bandyopadhyay, Sivaji, Kumar Naskar, Sudip, Pecina, Pavel   +4 more
core  

Pull‐and‐Push Nanotherapeutic Hydrogels: Scavenging Inflammatory Triggers While Driving Tissue Regeneration in Burn Wounds

Advanced Functional Materials, EarlyView.
A nanounit‐assembled hydrogel employing a “pull‐and‐push” strategy simultaneously scavenges pro‐inflammatory cell‐free DNA (cfDNA) and delivers regenerative therapeutics in response to burn‐induced hyperthermia. By repolarizing macrophages and promoting angiogenesis, this multifunctional platform accelerates burn wound healing, offering a blueprint for
Han‐Sem Kim, Seong‐Jin Shin, Sak Lee, Nandin Mandakhbayar, Ji‐Hye Kang, Da‐Young Kong, Seong‐Doo Hong, Ueon Sang Shin, Hae‐Won Kim, Jung‐Hwan Lee   +9 more
wiley   +1 more source

Pushdown Automata in Statistical Machine Translation

Computational Linguistics, 2023
Cyril Allauzen, Bill Byrne, Adrià de Gispert, Gonzalo Iglesias, Michael Riley   +4 more
doaj   +1 more source

Artificial Intelligence In Translation Studies: Benefits, Challenges, And Future Directions> [PDF]

مجلة القراءة والمعرفة
This review paper gives an overview analysis of the function of artificial intelligence (AI) in translation studies (TS). It examines four primary AI translation models: statistical machine translation, rule-based machine translation, neural machine ...
Dr. Hoda Ali Ali
doaj   +1 more source

Treatment of Markup in Statistical Machine Translation [PDF]

Proceedings of the Third Workshop on Discourse in Machine Translation, 2017
We present work on handling XML markup in Statistical Machine Translation (SMT). The methods we propose can be used to effectively preserve markup (for instance inline formatting or structure) and to place markup correctly in a machine-translated segment.
openaire   +2 more sources

Thermally Pre‐Formed Reconfigurable Resistive Random‐Access Memory Crossbar Arrays: A Dual‐Mode Platform for Robust Physically Unclonable Functions and In‐Memory Computing

Advanced Functional Materials, EarlyView.
A reconfigurable RRAM platform utilizing thermally pre‐formed filaments (TPFs) is developed to realize robust hardware security. By exploiting the thermodynamic stochasticity of TPFs, exceptionally reliable physically unclonable functions (PUFs) are achieved.
Seongbin Kwon, Taewon Lee, Dohyeong Kim, Sungmin Hwang, Sungjoon Kim   +4 more
wiley   +1 more source

Review of Thermally Activated Twisted Coiled Polymer Actuators: A Materials Science Perspective

Advanced Functional Materials, EarlyView.
Thermally activated twisted and coiled polymer actuators (TCPAs) combine lightweight design, large deformation, and scalable fabrication for soft robotic and wearable applications. This review connects polymer structure, processing history, helix geometry, and thermomechanical characterization to actuator performance, highlighting current challenges in
Nadja Schenk, Lukas Benecke, Chokri Cherif, Johannes Mersch   +3 more
wiley   +1 more source

Controlled beam search for neural machine translation using subword units leveraging phrase-based statistical machine translation outputs

Discover Computing
The decoding phase is a crucial component in machine translation systems, alongside the creation of the model. Beam search is the most commonly used algorithm for decoding in these systems.
Emre Satir, Hasan Bulut
doaj   +1 more source

Application of translation technology based on AI in translation teaching

Systems and Soft Computing
Nowadays, translation technology based on artificial intelligence (AI) has gradually matured. Traditional translation teaching methods have many limitations, such as time and space limitations, increased labor costs, etc.
Yu Yuxiu
doaj   +1 more source

Kernel regression based machine translation

, 2007
We present a novel machine translation framework based on kernel regression techniques. In our model, the translation task is viewed as a string-to-string mapping, for which a regression type learning is employed with both the source and the target ...
Zhuoran Wang, Wang, Z, Shawe-Taylor, John, Szedmak, S, John Shawe-taylor, Sandor Szedmak, Szedmak, Sandor, Shawe-Taylor, J, Wang, Zhuoran   +8 more
core   +1 more source