Results 11 to 20 of about 4,300,436 (344)
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
doaj +3 more sources
Gender Bias in Machine Translation [PDF]
Transactions of the Association for Computational Linguistics, 2021 Machine translation (MT) technology has facilitated our daily tasks by providing accessible shortcuts for gathering, processing, and communicating information. However, it can suffer from biases that harm users and society at large.
Beatrice Savoldi +4 more
semanticscholar +8 more sources
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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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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No Language Left Behind: Scaling Human-Centered Machine Translation [PDF]
arXiv.org, 2022 Driven by the goal of eradicating language barriers on a global scale, machine translation has solidified itself as a key focus of artificial intelligence research today.
Nllb team +38 more
semanticscholar +1 more source
How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation [PDF]
arXiv.org, 2023 Generative Pre-trained Transformer (GPT) models have shown remarkable capabilities for natural language generation, but their performance for machine translation has not been thoroughly investigated.
Amr Hendy +8 more
semanticscholar +1 more source
xcomet: Transparent Machine Translation Evaluation through Fine-grained Error Detection [PDF]
Transactions of the Association for Computational Linguistics, 2023 Widely used learned metrics for machine translation evaluation, such as Comet and Bleurt, estimate the quality of a translation hypothesis by providing a single sentence-level score.
Nuno M. Guerreiro +5 more
semanticscholar +1 more source
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
openalex +3 more sources
Automatic evaluation of the quality of machine translation of a scientific text: the results of a five-year-long experiment [PDF]
E3S Web of Conferences, 2021 We report on various approaches to automatic evaluation of machine translation quality and describe three widely used methods. These methods, i.e. methods based on string matching and n-gram models, make it possible to compare the quality of machine ...
Ulitkin Ilya +3 more
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Prompting Large Language Model for Machine Translation: A Case Study [PDF]
International Conference on Machine Learning, 2023 Research on prompting has shown excellent performance with little or even no supervised training across many tasks. However, prompting for machine translation is still under-explored in the literature.
Biao Zhang, B. Haddow, Alexandra Birch
semanticscholar +1 more source