Results 71 to 80 of about 574,173 (343)
JoSTrans: The Journal of Specialised Translation, 2017 This article reports on a key-logging study carried out to test the benefits of post-editing Machine Translation (MT) for the professional translator within a hypothetico-deductive framework, contrasting the outcomes of a number of variables which are ...
Ben Screen
doaj +1 more source
Towards using web-crawled data for domain adaptation in statistical machine translation [PDF]
, 2011 This paper reports on the ongoing work focused on domain adaptation of statistical machine translation using domain-specific data obtained by domain-focused web crawling.
Giagkou, Maria +5 more
core
Domain adaptation strategies in statistical machine translation: a brief overview [PDF]
, 2015 © Cambridge University Press, 2015.Statistical machine translation (SMT) is gaining interest given that it can easily be adapted to any pair of languages. One of the main challenges in SMT is domain adaptation because the performance in translation drops
Ruiz Costa-Jussà, Marta
core +2 more sources
Discriminative Reranking for Grammatical Error Correction with Statistical Machine Translation
North American Chapter of the Association for Computational Linguistics, 2016 Research on grammatical error correction has received considerable attention. For dealing with all types of errors, grammatical error correction methods that employ statistical machine translation (SMT) have been proposed in recent years.
Tomoya Mizumoto, Yuji Matsumoto
semanticscholar +1 more source
Arthritis Care &Research, EarlyView.This review summarizes artificial intelligence (AI)‐supported nonpharmacological interventions for adults with chronic rheumatic diseases, detailing their components, purpose, and current evidence base. We searched Embase, PubMed, Cochrane, and Scopus databases for studies describing AI‐supported interventions for adults with chronic rheumatic diseases.
Nirali Shah +5 more
wiley +1 more source
Comparative analysis of machine translation for Hindi-Dogri text using rule-based, statistical, and neural approaches [PDF]
PeerJ Computer ScienceMachine 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 +7 more
doaj +2 more sources
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
A SomAgent statistical machine translation [PDF]
Applied Soft Computing, 2011 The paper describes the process by which the word alignment task performed within SOMAgent works in collaboration with the statistical machine translation system in order to learn a phrase translation table. We studied improvements in the quality of translation using syntax augmented machine translation.
L?pez Batista, Vivian F?lix +4 more
openaire +2 more sources
Arthritis Care &Research, EarlyView.Objective This systematic review aimed to assess the diagnostic accuracy of algorithms used to identify rheumatoid arthritis and juvenile idiopathic arthritis in electronic health records. Methods We searched Medline, Embase, and Cochrane Central Register for Controlled Trials databases and included studies that validated case definitions against a ...
Constanza Saka‐Herrán +10 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.This study reports the fabrication of trabecular bioactive glass scaffolds (composition “1d”: 46.1SiO2‐28.7CaO‐8.8MgO‐6.2P2O5‐5.7CaF2‐4.5Na2O wt%) through vat photopolymerization and the relevant results from mechanical testing and in vivo implantation procedures in rabbit femora, showing great promise for bone tissue engineering applications.
Dilshat Tulyaganov +8 more
wiley +1 more source