DIGITALISED DELIVERY OF LANGUAGE. AN APPROACH TOWARDS MACHINE TRANSLATION TECHNOLOGY [PDF]
Carpathian Journal of Electrical Engineering, 2021 Unquestionably, in today’s language professionals, the use of information and communication technology (ICT) is already taken for granted and electronic handling as well as digitalized delivery of language services are standard client facilities.
Ioan Beniamin POP
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ATLASLang NMT: Arabic text language into Arabic sign language neural machine translation
Journal of King Saud University: Computer and Information Sciences, 2021 ATLASLang is a machine translation system from Arabic text language into Arabic sign language (ArSL). The first version of the system (Brour and Benabbou, 2019) is based on two approaches: rule-based Interlingua and example-based approaches.
Mourad Brour, Abderrahim Benabbou
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How much hybridisation does machine translation need? [PDF]
, 2015 This is the peer reviewed version of the following article: [Costa-jussà, M. R. (2015), How much hybridization does machine translation Need?. J Assn Inf Sci Tec, 66: 2160–2165.
Ruiz Costa-Jussà, Marta
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MACHINE TRANSLATION WITH JAVANESE SPEECH LEVELS’ CLASSIFICATION
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2016 A hybrid corpus-based machine processing has been developed to produce a proper Javanese speech level translation. The developed statistical memory-based machine translation shows significantly accurate results.
Andrew Nafalski, Aji Prasetya Wibawa
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An Approach for Chinese-Japanese Named Entity Equivalents Extraction Using Inductive Learning and Hanzi-Kanji Mapping Table [PDF]
, 2017 Named Entity Translation Equivalents extraction plays a critical role in machine translation (MT) and cross language information retrieval (CLIR). Traditional methods are often based on large-scale parallel or comparable corpora.
Araki, Kenji +4 more
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Interlingual Machine Translation [PDF]
, 2012 Interlingual is an artificial language used to represent the meaning of natural languages, as for purposes of machine translation. It is an intermediate form between two or more languages.
Hanumanthappa, M., Mallamma, V.R.
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A Large-Scale Comparison of Historical Text Normalization Systems [PDF]
, 2019 There is no consensus on the state-of-the-art approach to historical text normalization. Many techniques have been proposed, including rule-based methods, distance metrics, character-based statistical machine translation, and neural encoder--decoder ...
Bollmann, Marcel
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Self-aware cycle curriculum learning for multiple-choice reading comprehension [PDF]
PeerJ Computer Science, 2022 Multiple-choice reading comprehension task has recently attracted significant interest. The task provides several options for each question and requires the machine to select one of them as the correct answer.
Haihong Chen, Yufei Li
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USING MACHINE TRANSLATION ENGINES IN THE CLASSROOM: A SURVEY OF TRANSLATION STUDENTS’ PERFORMANCE
Novìtnâ Osvìta, 2020 This paper outlines the results of the experimental study aiming to explore the impact of using machine translation engines on the performance of translation students. Machine translation engines refer to the software developed to translate source texts
Alla Olkhovska, Iryna Frolova
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wEBMT: developing and validating an example-based machine translation system using the world wide web [PDF]
, 2003 We have developed an example-based machine translation (EBMT) system that uses the World Wide Web for two different purposes: First, we populate the system’s memory with translations gathered from rule-based MT systems located on the Web.
Gough, Nano, Way, Andy
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