Results 241 to 250 of about 357,083 (284)

Identification and experimental validation of biomarkers associated with integrated stress response in sepsis. [PDF]

Biochem Biophys Rep
Zhou Y, Wu Y, Zhu Y, Jiang Q, Liu Y, Zhu L, Zhu R, Cao H.   +7 more
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Revealing shared molecular markers and mechanisms in colorectal cancer and COVID-19 through bioinformatics and machine learning. [PDF]

Brief Bioinform
Wang H, Yao H, Niu W, Xing R, Cai L, Xi Z, Gao S, Zhao L.   +7 more
europepmc   +1 more source

Biomarker Discovery for Autism Prediction Using Massive Feature Extraction Based on EEG Signals. [PDF]

Sensors (Basel)
Hafeez N, Aslam AR, Altaf MAB.
europepmc   +1 more source

What Is a Pattern in Statistical Mechanics? Formalizing Structure and Patterns in One-Dimensional Spin Lattice Models with Computational Mechanics. [PDF]

Entropy (Basel)
Aguilar O.
europepmc   +1 more source

Example-Based Statistical Machine Translation

Example-Based Statistical Machine Translation
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Statistical machine translation

ACM Computing Surveys, 2008
Statistical machine translation (SMT) treats the translation of natural language as a machine learning problem. By examining many samples of human-produced translation, SMT algorithms automatically learn how to translate. SMT has made tremendous strides in less than two decades, and new ideas are constantly introduced.
Adam Lopez
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Statistical machine translation

2017 1st International Conference on Intelligent Systems and Information Management (ICISIM), 2017
Translation of natural language text using statistical machine translation (SMT) is a supervised machine learning problem. SMT algorithms are trained to learn how to translate by providing many translations produced by human language experts. The field SMT has gained momentum in recent three decades.
A. R. Babhulgaonkar, S. V. Bharad
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Statistical Machine Translation

2014
We introduce a brief introduction to statistical machine translation for semitic languages along with an overview of machine translation approaches. We discuss the special consideration that should be taken into account when developing SMT systems for Semitic languages.
Hany Hassan, Kareem Darwish
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Statistical Machine Translation

2009
The dream of automatic language translation is now closer thanks to recent advances in the techniques that underpin statistical machine translation. This class-tested textbook from an active researcher in the field, provides a clear and careful introduction to the latest methods and explains how to build machine translation systems for any two ...
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