Results 61 to 70 of about 78,002 (309)

Statistical Machine Translation Customization between Turkish and 11 Languages

transLogos: Translation Studies Journal, 2020
Statistical Machine Translation (SMT) has been the dominant corpus-based machine translation (MT) approach in the last twenty years. While SMT has been studied in detail among European languages, it has not been studied sufficiently in language pairs ...
Gökhan Doğru
doaj   +1 more source

Distortion models for statistical machine translation [PDF]

Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the ACL - ACL '06, 2006
In this paper, we argue that n-gram language models are not sufficient to address word reordering required for Machine Translation. We propose a new distortion model that can be used with existing phrase-based SMT decoders to address those n-gram language model limitations. We present empirical results in Arabic to English Machine Translation that show
Yaser Al-Onaizan, Kishore Papineni
openaire   +1 more source

Statistically motivated example-based machine translation using translation memory [PDF]

, 2010
In this paper we present a novel way of integrating Translation Memory into an Example-based Machine translation System (EBMT) to deal with the issue of low resources. We have used a dialogue of 380 sentences as the example-base for our system.
Morrissey, Sara, Somers, Harold, Kumar Naskar, Sudip, Dandapat, Sandipan   +3 more
core  

A new flow chip in combination with multiphoton microscopy as a protocol for longitudinal 3D imaging of tissue calcification under shear stress

FEBS Open Bio, EarlyView.
Miniaturized flow chip platform enabling continuous perfusion and longitudinal multiphoton 3D imaging of vascular smooth muscle cell constructs under physiological flow. Brightfield imaging guides region selection, while CellTracker Green and mRuby‐labeled fetuin‐A visualize cells and mineral deposition, respectively. Magnesium supplementation markedly
Vytautas Kučikas, Aaron D. Morgan, Ignas Čiurlionis, Christian Böhm, Stefan Jockenhövel, Willi Jahnen‐Dechent, Marc A. M. J. van Zandvoort   +6 more
wiley   +1 more source

Comparative analysis of machine translation for Hindi-Dogri text using rule-based, statistical, and neural approaches [PDF]

PeerJ Computer Science
Machine translation has made significant progress in several Indian languages; however, some, known as computationally low-resourced languages, have seen very little work in this field.
Joginder Kumar, Manik Rakhra, Preeti Dubey, Deepak Prashar, Leo Mrsic, Arfat Ahmad Khan, Seifedine Kadry, Jungeun Kim   +7 more
doaj   +2 more sources

Supertagged phrase-based statistical machine translation [PDF]

, 2007
Until quite recently, extending Phrase-based Statistical Machine Translation (PBSMT) with syntactic structure caused system performance to deteriorate.
Way, A., Hassan, H., Sima'an, K., Way, Andy, Sima'an, Khalil, Hassan, Hany, Sima\u27an, Khalil   +6 more
core  

OpenMaTrEx: a free/open-source marker-driven example-based machine translation system [PDF]

, 2010
We describe OpenMaTrEx, a free/open-source example based machine translation (EBMT) system based on the marker hypothesis, comprising a marker-driven chunker, a collection of chunk aligners, and two engines: one based on a simple proof-of-concept ...
Forcada, Mikel, Sandipan Dandapat, Declan Groves, Sergio Penkale, John Tinsley, Tinsley, John, Andy Way, Way, Andy, Penkale, Sergio, Groves, Declan, Mikel L. Forcada, Dandapat, Sandipan   +11 more
core   +1 more source

Feasibility and Tolerability of Performing Portable MRI for Neurological Disorders in an Outpatient Neurology Clinic: A Prospective Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Accessing brain magnetic resonance imaging (MRI) can be challenging, especially for underserved patients, which may lead to disparities in neurological diagnosis. Method This mixed‐methods study enrolled adults with one of four neurological disorders: mild cognitive impairment or dementia of the Alzheimer type, multiple sclerosis ...
Maya L. Mastick, Nomin Enkhtsetseg, Joseph Sadok, Matheus Mochetti, Annabel Sorby Adams, Jennifer Guo, Cristina Trapaga Hacker, Isabella Gomez Hjerthen, Seungwon Lee, Siddharth Satish, Andrew S. Ham, Justin Hill, Denis Balaban, Kevin Kyle, Rebecca L. Gillani, Marcelo Matiello, Aleksandar Videnovic, Eric C. Klawiter, W. Taylor Kimberly, Farrah J. Mateen   +19 more
wiley   +1 more source

Extracting features from text to improve statistical machine translation

Journal of Applied Linguistics and Lexicography, 2019
In this paper we investigate the technique of extending the Moses Statistical Machine Translation (SMT) system default set of features using shallow linguistic information from source and target phrases.
Александр Павлович Молчанов
doaj   +1 more source

Statistical machine translation for Indic languages

Natural Language Processing
AbstractStatistical Machine Translation (SMT) systems use various probabilistic and statistical Natural Language Processing (NLP) methods to automatically translate from one language to another language while retaining the originality of the context. This paper aims to discuss the development of bilingual SMT models for translating English into fifteen
Sudhansu Bala Das, Divyajoti Panda, Tapas Kumar Mishra 0001, Bidyut Kumar Patra   +3 more
openaire   +2 more sources