Results 31 to 40 of about 521,807 (336)
Neural-based machine translation for medical text domain. Based on European Medicines Agency leaflet texts [PDF]
, 2015 The quality of machine translation is rapidly evolving. Today one can find several machine translation systems on the web that provide reasonable translations, although the systems are not perfect. In some specific domains, the quality may decrease.
Marasek, Krzysztof, Wołk, Krzysztof
core +2 more sources
Journal of ICT, 2017 Achieving high accuracy in automatic translation tasks has been one of the challenging goals for researchers in the area of machine translation since decades.
Zakaria El Maazouzi +2 more
doaj +3 more sources
Lexical Diversity in Statistical and Neural Machine Translation
Information, 2022 Neural machine translation systems have revolutionized translation processes in terms of quantity and speed in recent years, and they have even been claimed to achieve human parity.
Mojca Brglez, Špela Vintar
doaj +1 more source
Moses: Open Source Toolkit for Statistical Machine Translation
Annual Meeting of the Association for Computational Linguistics, 2007 We describe an open-source toolkit for statistical machine translation whose novel contributions are (a) support for linguistically motivated factors, (b) confusion network decoding, and (c) efficient data formats for translation models and language ...
Philipp Koehn +13 more
semanticscholar +1 more source
On Statistical Machine Translation and Translation Theory [PDF]
Proceedings of the Second Workshop on Discourse in Machine Translation, 2015 The translation process in statistical machine translation (SMT) is shaped by technical constraints and engineering considerations. SMT explicitly models translation as search for a target-language equivalent of the input text. This perspective on translation had wide currency in mid-20th century translation studies, but has since been superseded by ...
openaire +4 more sources
Minimum Error Rate Training in Statistical Machine Translation
Annual Meeting of the Association for Computational Linguistics, 2003 Often, the training procedure for statistical machine translation models is based on maximum likelihood or related criteria. A general problem of this approach is that there is only a loose relation to the final translation quality on unseen text.
F. Och
semanticscholar +1 more source
Topics in statistical machine translation [PDF]
Tutorial Abstracts of ACL-IJCNLP 2009 on - ACL-IJCNLP '09, 2009 In the past, we presented tutorials called "Introduction to Statistical Machine Translation", aimed at people who know little or nothing about the field and want to get acquainted with the basic concepts. This tutorial, by contrast, goes more deeply into selected topics of intense current interest. We aim at two types of participants: 1.
Kevin Knight, Philipp Koehn
openaire +2 more sources
The Geometry of Statistical Machine Translation [PDF]
Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2015 Most modern statistical machine translation systems are based on linear statistical models. One extremely effective method for estimating the model parameters is minimum error rate training (MERT), which is an efficient form of line optimisation adapted to the highly nonlinear objective functions used in machine translation.
Aurelien Waite, Bill Byrne
openaire +2 more sources
NICT’s Neural and Statistical Machine Translation Systems for the WMT18 News Translation Task [PDF]
Conference on Machine Translation, 2018 This paper presents the NICT’s participation to the WMT18 shared news translation task. We participated in the eight translation directions of four language pairs: Estonian-English, Finnish-English, Turkish-English and Chinese-English.
Benjamin Marie +4 more
semanticscholar +1 more source
Cadernos de Tradução, 2020 The essay provides a critical assessment of the performance of two distinct machine translation systems, Systran and Google Translate. First, a brief overview of both rule-based and statistical machine translation systems is provided followed by a ...
Brita Banitz
doaj +1 more source