Results 111 to 120 of about 574,173 (343)

Neural Network Machine Translation Method Based on Unsupervised Domain Adaptation

Complexity, 2020
Relying on large-scale parallel corpora, neural machine translation has achieved great success in certain language pairs. However, the acquisition of high-quality parallel corpus is one of the main difficulties in machine translation research.
Rui Wang
doaj   +1 more source

Neural System Combination for Machine Translation

, 2017
Neural machine translation (NMT) becomes a new approach to machine translation and generates much more fluent results compared to statistical machine translation (SMT). However, SMT is usually better than NMT in translation adequacy.
Hu, Wenpeng, Zhang, Jiajun, Zhou, Long, Zong, Chengqing   +3 more
core   +1 more source

Nanomaterial‐Integrated Fiber Neural Probes for Deep Brain Monitoring and Modulation: Challenges and Opportunities

Advanced Functional Materials, EarlyView.
The article presents nanomaterial‐integrated fiber neural probes as innovative tools for deep brain molecular sensing, neural stimulation, and temperature monitoring. It examines breakthroughs in SERS‐based biomolecule detection, thermoplasmonic activation, and luminescent thermometry, alongside strategies to overcome stability, specificity, and ...
Di Zheng, Yang Li, Muhammad Fayyaz Kashif, Linda Piscopo, Massimo De Vittorio, Ferruccio Pisanello   +5 more
wiley   +1 more source

Syntax-based reordering model for phrasal statistical machine translation

Tongxin xuebao, 2008
To deal with the long-distance reordering, a linguistically syntax-based reordering model was presented for phrasal statistical machine translation. In this model, the syntax structure was decomposed according to the phrase segmentation to avoid the ...
XUE Yong-zeng, LI Sheng, ZHAO Tie-jun, YANG Mu-yun   +3 more
doaj   +2 more sources

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 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

Seeding statistical machine translation with translation memory output through tree-based structural alignment [PDF]

, 2010
With the steadily increasing demand for high-quality translation, the localisation industry is constantly searching for technologies that would increase translator throughput, with the current focus on the use of high-quality Statistical Machine ...
van Genabith, Josef, Zhechev, Ventsislav
core  

Promoting Flexible Translations in Statistical Machine Translation

, 2013
While SMT systems can learn to translate multiword expressions (MWEs) from parallel text, they typically have no notion of non-compositionality, and thus overgeneralise translations that are only used in certain contexts. This paper describes a novel approach to measure the flexibility of a phrase pair, i.e.
openaire   +2 more sources

Integrative Approaches for DNA Sequence‐Controlled Functional Materials

Advanced Functional Materials, EarlyView.
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo, Ewa Anna Oprzeska‐Zingrebe, Mariana Kozlowska, Lennart Hilbert, Iliya D. Stoev   +4 more
wiley   +1 more source

Comparison of SYSTRAN and Google Translate for English→Portuguese

Revista Tradumàtica, 2011
Two machine translation (MT) systems, a statistical MT (SMT) system and a hybrid system (rule-based and SMT) were tested in order to compare various MT performances. The source language was English (EN) and the target language Portuguese (PT).
Rodrigo Gomes de Oliveira, Dimitra Anastasiou   +1 more
doaj   +1 more source