Results 1 to 10 of about 418,591 (309)
The Programming Historian, 2021 This lesson covers how to convert images of text into text files and translate those text files. The lesson will also cover how to organize and edit images to make the conversion and translation of whole folders of text files easier and more accurate ...
Andrew Akhlaghi
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A Survey of Orthographic Information in Machine Translation. [PDF]
SN Comput Sci, 2021 Machine translation is one of the applications of natural language processing which has been explored in different languages. Recently researchers started paying attention towards machine translation for resource-poor languages and closely related languages.
Chakravarthi BR +3 more
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Progress in Machine Translation
Engineering, 2022 After more than 70 years of evolution, great achievements have been made in machine translation. Especially in recent years, translation quality has been greatly improved with the emergence of neural machine translation (NMT).
Haifeng Wang +4 more
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The use of automation in the rendition of certain articles of the Saudi Commercial Law into English: a post-editing-based comparison of five machine translation systems [PDF]
Frontiers in Artificial Intelligence, 2023 Efforts to automate translation were made in the 1950s and 1960s, albeit with limited resources compared to current advanced standards. Machine translation is categorised under computational linguistics that examines employing computer software in the ...
Rafat Y. Alwazna
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Is machine translation a dim technology for its users? An eye tracking study [PDF]
Frontiers in Psychology, 2023 State-of-the-art research shows that the impact of language technologies on public awareness and attitudes toward using machine translation has been changing.
Ramunė Kasperė +4 more
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Pre-Translation for Neural Machine Translation [PDF]
arXiv, 2016 Recently, the development of neural machine translation (NMT) has significantly improved the translation quality of automatic machine translation. While most sentences are more accurate and fluent than translations by statistical machine translation (SMT)-based systems, in some cases, the NMT system produces translations that have a completely ...
Niehues, Jan +3 more
arxiv +3 more sources
Machine Translation and Translation Theory [PDF]
, 1997 Part 1 Aspects of human translation worth considering for machine translation: Process models in simultaneous interpretation, Barbara Moser-Mercer Using test mappings in teaching consecutive interpreting, Hans G. Honig The important of functional markers in (human) translation, Christiane Nord Translating cultural specifics - macro- and microstructural
Christa Hauenschild, Susanne Heizmann
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Trabalhos em Linguística Aplicada, 2021 Considering the boost in technological development, and that machine translation has been widely used by both industry and academia, the main goal of this paper is to describe possibilities for the incorporation of a basic machine translation module in a
Marileide Dias Esqueda
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Big Data and Cognitive Computing, 2023 French is a strategically and economically important language in the regions where the African language Twi is spoken. However, only a very small proportion of Twi speakers in Ghana speak French.
Frederick Gyasi, Tim Schlippe
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Statistical Machine Translation
Computational Linguistics, 2013 Statistical Machine Translation (SMT) is an approach to automatic text translation based on the use of statistical models and examples of translations. SMT is the current dominant research paradigm for machine translation and has been attracting significant commercial interest in recent years. In this chapter, the authors introduce the rationale behind
Lucia Specia
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