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Issue No.02 - March/April (2006 vol.21)
pp: 4-7
ABSTRACT
<p><strong>Machine Translation Inching toward Human Quality</strong><div>Jan Krikke</div></p><p>After 50 years of research and tinkering, machine translation might be ready to compete with human translators. Several companies have announced breakthroughs or substantial progress in MT research in recent months. Popular perception of MT has suffered from low-quality "gisting" translation that Web-based translation engines, such as Babelfish and other online services, generate. But MT engines designed for limited domains, and tailor-made systems that use controlled language, are already delivering services.</p><p><strong>Fine-tuning "Smart" Radios</strong><div>Benjamin Alfonsi</div></p><p>Outside the tech community, the big news in radio is, of course, satellite radio. Within the community and AI circles, it's cognitive or "smart" radios that are making a splash. Paving the way is Virginia Tech's Center for Wireless Telecommunications Cognitive Wireless Technology (CWT2) group. Recently, the team received a three-year grant from the National Science Foundation to continue its research into developing and deploying cognitive radio transceivers, or CRs.</p>
INDEX TERMS
machine translation, cognitive radio, smart radio
CITATION
Jan Krikke, Benjamin Alfonsi, "In the News", IEEE Intelligent Systems, vol.21, no. 2, pp. 4-7, March/April 2006, doi:10.1109/MIS.2006.28
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