Results 11 to 20 of about 521,807 (336)
Neural Machine Translation Advised by Statistical Machine Translation [PDF]
Proceedings of the AAAI Conference on Artificial Intelligence, 2016 Neural Machine Translation (NMT) is a new approach to machine translation that has made great progress in recent years. However, recent studies show that NMT generally produces fluent but inadequate translations (Tu et al.
Xing Wang +5 more
semanticscholar +3 more sources
Statistical machine translation [PDF]
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.
Miles Osborne
semanticscholar +4 more sources
Reduction of Neural Machine Translation Failures by Incorporating Statistical Machine Translation
Mathematics, 2023 This paper proposes a hybrid machine translation (HMT) system that improves the quality of neural machine translation (NMT) by incorporating statistical machine translation (SMT).
Jani Dugonik +3 more
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Discourse in Statistical Machine Translation [PDF]
Discours, 2012 Current approaches to statistical machine translation assume that sentences in a text are independent, ignoring the property of connectedness present in virtually all discourse. We provide an extensive overview of the literature about statistical machine
Christian Hardmeier
doaj +5 more sources
SYNTACTIC PHRASE-BASED STATISTICAL MACHINE TRANSLATION [PDF]
2006 IEEE Spoken Language Technology Workshop, 2006 Phrase-based statistical machine translation (PBSMT) systems represent the dominant approach in MT today. However, unlike systems in other paradigms, it has proven difficult to date to incorporate syntactic knowledge in order to improve translation quality.
Hassan, H. +3 more
openaire +6 more sources
Treatment of Markup in Statistical Machine Translation [PDF]
Proceedings of the Third Workshop on Discourse in Machine Translation, 2017 We present work on handling XML markup in Statistical Machine Translation (SMT). The methods we propose can be used to effectively preserve markup (for instance inline formatting or structure) and to place markup correctly in a machine-translated segment.
Mathias Müller
semanticscholar +3 more sources
Taking Statistical Machine Translation to the Student Translator [PDF]
, 2012 Despite the growth of statistical machine translation (SMT) research and development in recent years, it remains somewhat out of reach for the translation community where programming expertise and knowledge of statistics tend not to be commonplace. While the concept of SMT is relatively straightforward, its implementation in functioning systems remains
Doherty, Stephen +2 more
openaire +4 more sources
Findings of the 2014 Workshop on Statistical Machine Translation [PDF]
Proceedings of the Ninth Workshop on Statistical Machine Translation, 2014 This paper presents the results of the WMT14 shared tasks, which included a standard news translation task, a separate medical translation task, a task for run-time estimation of machine translation quality, and a metrics task.
Ondrej Bojar +12 more
semanticscholar +6 more sources
Machine Learning Based Optimized Pruning Approach for Decoding in Statistical Machine Translation
IEEE Access, 2019 A conventional decoding algorithm is critical to the success of any statistical machine translation system. Providing an enormous amount of space leads to inappropriate slow decoding. There is a trade-off between the translation accuracy and the decoding
Debajyoty Banik +2 more
doaj +2 more sources
Introducing linguistic knowledge into statistical machine translation. [PDF]
, 2007 Aquesta tesi està dedicada a l'estudi de la utilització de informació morfosintàctica en el marc dels sistemes de traducció estocàstica, amb l'objectiu de millorar-ne la qualitat a través de la incorporació de informació lingüística més enllà del nivell simbòlic superficial de les paraules.<br/><br/><br/><br/>El sistema de ...
Adrià Gispert Ramis
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