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.
Dandapat, Sandipan +3 more
core
Target-Side Context for Discriminative Models in Statistical Machine Translation [PDF]
, 2016 Discriminative translation models utilizing source context have been shown to help statistical machine translation performance. We propose a novel extension of this work using target context information.
Bojar, Ondřej +3 more
core +2 more sources
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
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
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
A Client mobile application for Chinese-Spanish statistical machine translation [PDF]
, 2014 This show and tell paper describes a client mobile application for Chinese-Spanish machine translation. The system combines a standard server-based statistical machine translation (SMT) system, which requires online operation, with different input ...
Banchs Martínez, Rafael Enrique +2 more
core
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
THE COMPARATIVE ANALYSIS OF THE MACHINE TRANSLATION SYSTEMS OF ECONOMIC DISCOURSE (ON THE EXAMPLE OF FRENCH-UKRAINIAN LANGUAGE PAIRS) [PDF]
Вісник університету ім. А. Нобеля. Серія Філологічні науки, 2019 The paper is devoted to the research of the comparative analysis of the machine translation systems of French-language economic discourse in Ukrainian, taking into account the growing tendencies in the foreign economic activity of domestic enterprises ...
Nataliia M. Sopyluk, Ilona O. Tsarenko
doaj +1 more source