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2020 | OriginalPaper | Chapter
Repeated and Anaphoric Segments Applied to Trilingual Knowledge Extraction
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Abstract
In a context of globalized societies, multilingualism is becoming an economic and social phenomenon. Translation constitutes a crucial element for communication. A good translation guarantees the quality of the transmission of all information. However, can translation on its own be used to face the challenge of multilingual information monitoring? With the advent of the digital age and the integration of many new technologies, corporate governance is undergoing a complete metamorphosis. One of the priorities remains the efficient exploitation of accumulated big data. This paper endeavors to shed light on the need for multilingual monitoring and on current or future developments of text mining, for three major languages (French, English, and Chinese), in crucial areas for the world's future and to describe the specificity and efficiency of anaphora.