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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]
AbstractMachine 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. As a relatively new field of inquiry, studies of gender bias in MT still lack cohesion.
Savoldi B.+4 more
openaire +8 more sources
Progress in Machine Translation
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
doaj +3 more sources
Is machine translation a dim technology for its users? An eye tracking study [PDF]
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
doaj +2 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]
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
doaj +2 more sources
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
doaj +2 more sources
No Language Left Behind: Scaling Human-Centered Machine Translation [PDF]
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]
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]
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
Prompting Large Language Model for Machine Translation: A Case Study [PDF]
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