Results 271 to 280 of about 78,002 (309)

Predicting COPD outcomes with artificial intelligence and traditional statistics: common limitations in a heterogeneous condition. [PDF]

ERJ Open Res
Casal-Guisande M, Fernández-García A, Represas-Represas C, Fernández-Villar A.   +3 more
europepmc   +1 more source

From Preservation to Repair: A Systematic Review of Therapeutic Organ Rehabilitation During Normothermic Ex Vivo Machine Perfusion. [PDF]

Transplant Direct
Raza SS, Bocks CM, Amacher SG, Deatrick KB, Tipograf Y, Rojas-Peña A.   +5 more
europepmc   +1 more source

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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
exaly   +2 more sources

Statistical Machine Translation: A Guide for Linguists and Translators

Language and Linguistics Compass, 2011
Abstract This paper presents an overview of Statistical Machine Translation (SMT), which is currently the dominant approach in Machine Translation (MT) research. In , we describe how central linguists and translators are to the MT process, so that SMT developers and researchers may better understand how to include these groups in ...
Mary Hearne, Andy Way
openaire   +1 more source

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
openaire   +1 more source

Morphological analysis for statistical machine translation

Proceedings of HLT-NAACL 2004: Short Papers on XX - HLT-NAACL '04, 2004
We present a novel morphological analysis technique which induces a morphological and syntactic symmetry between two languages with highly asymmetrical morphological structures to improve statistical machine translation qualities. The technique pre-supposes fine-grained segmentation of a word in the morphologically rich language into the sequence of ...
openaire   +2 more sources

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 ...
openaire   +2 more sources