Raytheon Develops New Software to Bypass the Language Barrier in Research

Retrieving information has always been a key requirement of intelligence analysis. Yet, for centuries, the language barrier has presented a crucial obstacle. In 2017, IARPA (Intelligence Advanced Research Projects Activity) launched its MATERIAL (Machine Translation for English Retrieval of Information in Any Language) program to solve the age-old problem of cross-language data retrieving. Five years later, Raytheon BBN Technologies seems to have found the solution. The American conglomerate, battling with competitors such as Columbia University, Johns Hopkins University, and the University of Southern California Information Sciences Institute, designed software capable of translating search results from all languages to English.

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