Results 101 to 110 of about 78,002 (309)

Marker-based filtering of bilingual phrase pairs for SMT [PDF]

, 2009
State-of-the-art statistical machine translation systems make use of a large translation table obtained after scoring a set of bilingual phrase pairs automatically extracted from a parallel corpus.
Sánchez-Martínez, Felipe, Way, Andy
core  

Swelling‐Programmed Topographical Guidance for Dynamic Spheroid Self‐Assembly via a Mechanochemical Hydrogel Niche

Advanced Functional Materials, EarlyView.
A swelling‐programmed micropatterned hydrogel guides adherent cells through a controlled transition from cell–matrix anchoring to cadherin‐mediated cell–cell compaction, enabling rapid assembly of high‐viability spheroids with defined size and morphology.
Han Gyeol Nam, Seon Yeong Chae, Young Woo Kwon, Hye Jin Heo, Hye Rin Lee, Ji Hyeok Lee, Dong‐Wook Han, Yun Hak Kim, Suck Won Hong   +8 more
wiley   +1 more source

INTEGRATING MACHINE TRANSLATION AND SPEECH SYNTHESIS COMPONENT FOR ENGLISH TO DRAVIDIAN LANGUAGE SPEECH TO SPEECH TRANSLATION SYSTEM [PDF]

Journal of Engineering Science and Technology, 2015
This paper provides an interface between the machine translation and speech synthesis system for converting English speech to Tamil text in English to Tamil speech to speech translation system.
J. SANGEETHA, S. JOTHILAKSHMI
doaj  

Using supertags as source language context in SMT [PDF]

, 2009
Recent research has shown that Phrase-Based Statistical Machine Translation (PB-SMT) systems can benefit from two enhancements: (i) using words and POS tags as context-informed features on the source side; and (ii) incorporating lexical syntactic ...
Way, Andy, Naskar, Sudip Kumar, Haque, Rejwanul, Ma, Yanjun   +3 more
core  

Identifying main obstacles for statistical machine translation of morphologically rich South Slavic languages

, 2019
The best way to improve a statistical machine translation system is to identify concrete problems causing translation errors and address them. Many of these problems are related to the characteristics of the involved languages and differences between ...
Popovic, Maja, Arcan, Mihael
core   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

Mechanoluminescent HOF Nanotransducers Enabled Sono‐Optogenetics in Parkinsonian Rats

Advanced Functional Materials, EarlyView.
We present a mechanoluminescent system utilizing porous hydrogen‐bonded organic frameworks (HOFs) as a toolkit for focused ultrasound‐triggered, non‐invasive light delivery to the deep brain in rats. This approach enables the specific activation of PV‐GPe neurons in dopamine‐depleted Parkinson's disease rat models, resulting in a comparable alleviation
Wenliang Wang, Ilya Pyatnitskiy, Yanshu Shi, Kai Wing Kevin Tang, Yi Xie, Sihan Yu, Thomas Wynn, Xiangping Liu, Ju‐Chun Hsieh, Jinmo Jeong, Weilong He, Brinkley Artman, Anakaren Romero Lozano, Xi Shi, Arjun Sangani, Lief E Fenno, Samantha Santacruz, Banglin Chen, Huiliang Wang   +18 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

Tracking relevant alignment characteristics for machine translation [PDF]

, 2009
In most statistical machine translation (SMT) systems, bilingual segments are extracted via word alignment. In this paper we compare alignments tuned directly according to alignment F-score and BLEU score in order to investigate the alignment ...
Sylwia Ozdowska, Ozdowska, Sylwia, Patrik Lambert, Andy Way, Lambert, Patrik, Way, Andy, Yanjun Ma, Ma, Yanjun   +7 more
core  

Blood Biomarkers and Surface‐Enhanced Raman Spectroscopy for Gout: A Comprehensive Review

Advanced Functional Materials, EarlyView.
Schematic illustrating gout disease progression from asymptomatic hyperuricemia to chronic tophaceous disease, highlighting the limitations of conventional imaging and biochemical diagnostics and the potential of engineered SERS platforms for ultrasensitive blood‐based detection of urate‐related biomarkers across disease stages, with the color gradient
Isuri Perera, Chiranjeevi Kanike, Appurva Tiwari, Hongyan Wu, Larry D. Unsworth, Ben Bin Xu, Xuehua Zhang   +6 more
wiley   +1 more source