Results 81 to 90 of about 594,786 (216)

Experiments on domain adaptation for English-Hindi SMT [PDF]

open access: yes, 2009
Statistical Machine Translation (SMT) systems are usually trained on large amounts of bilingual text and monolingual target language text. If a significant amount of out-of-domain data is added to the training data, the quality of translation can drop ...
Haque, Rejwanul   +3 more
core   +1 more source

Neural Machine Translation

open access: yesRevista Tradumàtica, 2017
From the outset, automatic translation was dominated by systems based on linguistic information, but then later other approaches opened up the way, such as translation memories and statistical machine translation which draw on parallel language corpora ...
Francisco Casacuberta Nolla   +1 more
doaj   +1 more source

Learning Semantic Representations for the Phrase Translation Model [PDF]

open access: yes, 2013
This paper presents a novel semantic-based phrase translation model. A pair of source and target phrases are projected into continuous-valued vector representations in a low-dimensional latent semantic space, where their translation score is computed by ...
Deng, Li   +3 more
core   +1 more source

Neural System Combination for Machine Translation

open access: yes, 2017
Neural machine translation (NMT) becomes a new approach to machine translation and generates much more fluent results compared to statistical machine translation (SMT). However, SMT is usually better than NMT in translation adequacy.
Hu, Wenpeng   +3 more
core   +1 more source

Real-Time Statistical Speech Translation

open access: yes, 2014
This research investigates the Statistical Machine Translation approaches to translate speech in real time automatically. Such systems can be used in a pipeline with speech recognition and synthesis software in order to produce a real-time voice ...
A. Radziszewski, D. Cer, F. Holz
core   +1 more source

Machine translation technologies used in online translation industry [PDF]

open access: yes, 2014
The article gives an overview of such machine translation technologies as Rule-based Machine Translation, Statistical Machine Translation, Hybrid Machine Translation as well as of Translation Memory.
Gimazitdinov, E. I., Morel Morel, D. A.
core  

Syntax-based reordering model for phrasal statistical machine translation

open access: yesTongxin xuebao, 2008
To deal with the long-distance reordering, a linguistically syntax-based reordering model was presented for phrasal statistical machine translation. In this model, the syntax structure was decomposed according to the phrase segmentation to avoid the ...
XUE Yong-zeng   +3 more
doaj   +2 more sources

String-to-Dependency Statistical Machine Translation

open access: yesComputational Linguistics, 2021
Libin Shen, Jinxi Xu, Ralph Weischedel
doaj   +1 more source

Seeding statistical machine translation with translation memory output through tree-based structural alignment [PDF]

open access: yes, 2010
With the steadily increasing demand for high-quality translation, the localisation industry is constantly searching for technologies that would increase translator throughput, with the current focus on the use of high-quality Statistical Machine ...
van Genabith, Josef, Zhechev, Ventsislav
core  

INTEGRATING MACHINE TRANSLATION AND SPEECH SYNTHESIS COMPONENT FOR ENGLISH TO DRAVIDIAN LANGUAGE SPEECH TO SPEECH TRANSLATION SYSTEM [PDF]

open access: yesJournal of Engineering Science and Technology, 2015
This paper provides an interface between the machine translation and speech synthesis system for converting English speech to Tamil text in English to Tamil speech to speech translation system.
J. SANGEETHA, S. JOTHILAKSHMI
doaj  

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