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Mr McClure says he would like to see more research into "cross-language retrieval" to address this problem, by allowing a database in one language to be searched and accessed by someone who does not speak that language.
Indeed the role of the user evaluation was dual: by testing a specific prototype it was possible to gain a micro-view and assess the effectiveness of each component of the complex system; by cumulating the result of all the evaluations (in total 43 people were involved) it was possible to build a macro-view of how cross-language retrieval would impact on users and their tasks.
The patented Cross Language Information Retrieval technology allows readers to select from 10 foreign languages for their global news sources.
Considering areas of computational linguistics that can be interesting to statisticians, the authors describe three main aspects of computational linguistics: formal language, information retrieval, and machine learning.
Such learning based method has also been explored extensively in figure ranking tasks including ImageCLEF, the evaluation competition of cross language image retrieval as part of the Cross Language Evaluation Forum CLEFF) [41].
They were naïve of subliminal presentations because they were misinformed that the experiments were about attention (task given during subliminal presentations) and language (indirect retrieval task).
Cross-language information retrieval (CLIR) systems allow users to find documents written in different languages from that of their query.
Recent approaches in cross-language microblogging retrieval [81] can be integrated for news event retrieval within our framework.
Experimental results of cross-language information retrieval (CLIR) do not indicate why a model fails or how a model could be improved.
The iterative testing was not only instrumental to the development of a usable system, but it enhanced our knowledge of the potential, impact, and actual use of cross-language information retrieval technology.
It draws mainly on the work carried out during the Clarity Project where different user-centred evaluations were run during the lifecycle of a cross-language information retrieval system.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com